犬猫日粮的矿物质组成及矿物质浓度充足性:一项系统综述。 机翻

Mineral Composition and Adequacy of Mineral Concentrations in Dog and Cat Diets: A Systematic Review.

中文关键词(术语机标,非人工翻译):肥胖/营养代谢 · 营养学

期刊Animals : an open access journal from MDPI
发表日期2026-10-16
物种犬猫
DOI10.3390/ani16203261
PMID42939193

摘要

Minerals are essential for numerous physiological functions in dogs and cats; however, concerns remain regarding the adequacy and safety of mineral supply across an increasingly diverse range of diets. This systematic review synthesised evidence on mineral composition and adequacy in companion-animal diets, with emphasis on dietary factors influencing mineral variability. A systematic search identified studies published between 2005 and 2025 that evaluated mineral composition, intake or adequacy in conventional commercial, raw-meat-based, plant-based, home-prepared, and therapeutic diets. Seventy-six studies met the inclusion criteria, including 58 analytical studies and 18 studies based on estimated mineral intake or adequacy of mineral levels. Calcium and phosphorus were the most frequently reported macrominerals, and iron, zinc, copper, iodine, and selenium were the most commonly evaluated trace elements. Deficient and excessive mineral levels occurred across dietary categories, with substantial variability in several alternative-diet datasets and some conventional commercial diets. No uniform directional difference in mean mineral concentrations distinguished conventional from alternative diets, while price and commercial positioning did not consistently predict adequacy. Intake-based studies showed that feeding level can alter adequacy despite apparently adequate dietary concentrations. Methodological heterogeneity, limited bioavailability data, and inconsistent toxicological benchmarks constrain interpretation and highlight the need for more standardised assessment approaches.

站内已收录开放获取全文,见下方。

全文 开放获取 · cc by 中文机翻

简要总结

矿物质对犬猫的健康发育和机体功能至关重要,但摄入不足或过量均可能引发健康问题。宠物喂养方式日益多样化,目前包括生肉基日粮、自制日粮和植物基日粮,以及常规商品化食品。我们综述了76项研究,这些研究检测了矿物质含量或估算了此类日粮提供的矿物质数量。不同产品和日粮类型之间矿物质组成差异很大。生肉基、自制和植物基日粮的矿物质组成常表现出显著变异性,尽管在某些常规商品化食品中也观察到相当大的变异性。然而,在所考察的所有日粮类别中均报告了可能不足或过量的矿物质水平,多个替代日粮数据集中反复出现多元素失衡。价格或高端定位并不能可靠地表明更好的矿物质平衡。对潜在有害元素的研究也显示出相当大的变异性,并使用了不同的安全阈值。关于日粮中存在的矿物质有多少被动物吸收和利用以及长期暴露影响的证据仍然有限。需要对宠物食品进行更好的监测并采用更一致的研究方法,以支持明智的喂养决策。

关键词:宠物食品,动物营养,微量元素,微量矿物质,常量矿物质

1. 引言

充足营养是伴侣动物健康、福利和长寿的基石[1]。在犬猫中,矿物质在广泛的生理过程中发挥重要作用,包括骨骼发育、神经肌肉功能、能量代谢、内分泌调节和免疫能力[2,3]。钙、磷、钠和钾等常量矿物质是结构完整性、骨骼发育和电解质平衡的基础。必需微量元素(微量矿物质),如锌、铜、铁、硒和碘,尽管仅需少量,但对维持代谢稳态至关重要[4]。相反,长期过量摄入某些必需矿物质,以及暴露于非必需或潜在毒性元素,可能导致组织蓄积和不良健康效应[5]。重要的是,矿物质失衡可能在长时间内保持亚临床状态,因此在长寿伴侣动物中其检测和预防可能尤为困难。这些考虑在伴侣动物中尤其相关,由于照护者对特定品牌的强烈忠诚,伴侣动物常长期饲喂同一商品化日粮[6],使长期营养平衡成为健康和福祉的关键决定因素[7]。

近几十年来,犬猫的喂养方式发生了重大变化,伴随可用日粮的显著多样化[8]。除常规干性膨化食品外,还使用各种湿性罐装日粮、生肉基日粮(RMBDs)、自制日粮以及为特定生理或病理状况设计的兽医治疗性日粮。这些日粮在日粮类别以及形式(干性 versus 湿性)、原料组成、加工程度、动物副产品或内脏的使用以及对矿物质预混料的依赖方面各不相同。与此同时,消费者驱动的趋势,如无谷物配方(即不含谷物籽实的日粮)、高肉产品、最低限度加工日粮和植物基配方,进一步增加了喂养模式的异质性[7,9,10]。这种日益增加的复杂性引发了关于不同日粮类型间矿物质供应一致性以及与特定配方策略相关的长期失衡或暴露可能性的重要问题。

宠物食品的营养充足性通常相对于已建立的指南进行评估,如美国国家研究委员会[4]、美国饲料管理协会(AAFCO)[11]和欧洲宠物食品工业联合会(FEDIAF)[12]提出的指南。这些框架为日粮配方提供了必要的参考值,通常以饲料重量为基础和/或相对于代谢能表示。然而,符合推荐浓度并不一定确保在实际喂养条件下充足或安全的矿物质摄入[4,13]。能量密度、饲喂量、热量限制、生物利用度、原料基质和加工技术等因素可极大地改变矿物质摄入和利用[14]。特别是减重方案中常见的热量限制,可能导致矿物质摄入不足,即使日粮符合基于浓度的建议[15]。相反,某些喂养模式,特别是与特定原料选择、加工方式或能量密度相关的模式,可能增加对特定矿物质或不良元素的长期暴露,尽管表面上符合监管限量[2]。

越来越多的文献评估了犬猫商业日粮、生肉骨日粮(RMBDs)和家庭自制日粮的矿物质组成,以及较少涉及的矿物质充足性或非必需元素暴露情况。然而,现有证据仍然零散且高度异质。许多研究仅关注单一膳食类别或有限数量的矿物质,且研究设计差异很大,有的报告成品日粮的分析浓度,有的估算特定饲喂方案下的摄入量,有的则总结相对于指南阈值的符合情况。整合可能影响矿物质组成和充足性的多种膳食及饲喂相关因素的研究相对稀缺。在统一分析框架内同时考察必需和非必需元素的研究更为罕见。因此,驱动犬猫日粮矿物质变异性、不足风险及慢性暴露的因素尚未得到系统表征。

本系统综述旨在综合关于犬猫全价日粮矿物质组成和充足性的现有证据,特别关注可能影响矿物质平衡的膳食及饲喂相关因素。考虑了必需矿物质的数据,以及(在可获得时)非必需或潜在毒性元素的数据。通过采用以广泛使用的营养指南(AAFCO和FEDIAF)为基础的综合方法,本综述旨在识别一致的模式,并突出与矿物质失衡或矿物质摄入改变相关的因素。它还旨在提供一个结构化框架,以支持伴侣动物营养中的临床、营养和监管决策。

2. 材料与方法

2.1. 研究设计

本研究按照系统综述和荟萃分析优先报告条目(PRISMA)指南[16]作为系统综述实施。事先制定了综述方案,以识别、选择和综合报告犬猫日粮矿物质组成、充足性或暴露数据的研究,但未进行正式注册。

在主要科学数据库(Scopus、PubMed、Web of Science和AGRIS)中进行了系统文献检索,以识别2005年1月1日至2025年10月4日期间发表的相关文章。使用了两个互补的检索组件,以最大化检索报告日粮矿物质浓度的研究和涉及矿物质摄入或营养充足性的研究。检索策略结合了与物种、日粮及矿物质组成或矿物质充足性相关的术语。

物种相关术语包括“dog”、“dogs”、“canine”、“cat”、“cats”和“feline”。日粮相关术语包括“pet food”、“dog food”、“dogfood”、“cat food”、“diet”、“food”、“feeding”、“ration”和“recipe”,以及描述日粮形式或类别的术语组合(“commercial”、“complete”、“dry”、“wet”、“canned”、“raw”、“BARF”、“homemade”、“home-prepared”、“vegan”、“vegetarian”、“therapeutic”和“prescription”)与“diet”或“food”的组合。还纳入了与体重管理饲喂相关的术语(“weight loss”、“weight reduction”、“weight management”、“energy restriction”和“caloric restriction”),以检索评估限制能量摄入下矿物质供给的研究。矿物质相关术语包括一般描述词(“mineral”、“trace element”、“micromineral”、“macromineral”、“heavy metal”、“potentially toxic element”、“chemical composition”和“elemental composition”)和单个元素(“calcium”、“phosphorus”、“magnesium”、“sodium”、“potassium”、“chloride”、“chlorine”、“iron”、“zinc”、“copper”、“iodine”、“selenium”、“manganese”、“cobalt”、“molybdenum”、“arsenic”、“cadmium”、“lead”、“mercury”、“chromium”和“nickel”)。这些术语酌情与研究结局描述词组合,包括“content”、“concentration”、“composition”、“level”、“analysis”、“adequacy”、“intake”、“requirement”、“deficiency”和“deficiencies”。检索语法根据各数据库的索引和检索字段要求进行了调整。用于PubMed、Scopus、Web of Science和AGRIS的完整数据库特定检索策略见补充文件S1。此外,筛选了所选文章和相关综述的参考文献列表,以识别其他符合条件的研究。

2.2. 纳入标准

研究符合以下条件时被视为符合纳入标准:(i)评估了用于犬和/或猫的全价日粮或全价饲喂方案,包括商业日粮、RMBDs、家庭自制日粮或兽医治疗性日粮;(ii)将矿物质组成、日粮矿物质摄入或日粮暴露信息作为实质性研究目标报告;(iii)提供了足够信息以表征所评估的全价日粮或饲喂方案;(iv)以同行评审期刊全文文章形式提供,包含原始数据和足够的方法学细节以供评估;(v)以英文或西班牙文撰写。

若研究符合以下条件则被排除:(i) 未报告任何与矿物质含量、摄入量或充足性相关的数据;(ii) 仅将矿物质浓度作为用于研究与非矿物质营养相关结局的日粮的背景特征进行报告;(iii) 为实验性矿物质干预或剂量-反应研究,主要设计用于研究矿物质代谢、生物利用度或对特定矿物质来源或剂量的生理反应,而非与完整饲喂方案相关的组成、充足性、摄入量或膳食暴露;(iv) 主要侧重于分析方法的开发或验证,仅将宠物食品用作测试基质,而无表征日粮矿物质组成或充足性的独立目标;(v) 仅报告单个原料的矿物质数据,而未对完整日粮进行重建或评估;或(vi) 为会议摘要、社论、评论、学位论文或综述,且无原始数据。

标题、摘要和全文文章由两位评价者(N.F. 和 B.L.)独立筛选。在每个筛选阶段后比较纳入资格决定,关于纳入资格的任何不确定性均通过讨论和共识解决。

2.3. 根据数据类型对研究进行分类

为确保方法学一致性并支持稳健的综述,研究根据所报告矿物质数据的性质进行分类:

分析性矿物质组成研究:报告使用实验室分析方法直接在完整日粮中测定的矿物质浓度的研究。矿物质浓度以饲料重量为基础表示(例如,每100 g产品中g或mg)和/或相对于代谢能表示(每1000 kcal)。

估计摄入量或充足性研究:使用原料成分表、产品标签、根据主人问卷或营养软件进行日粮重建来估计矿物质含量或摄入量,而未对成品日粮进行直接化学分析的研究。

仅报告通过分析测定的完整日粮矿物质浓度的研究被纳入定量综述、矿物质值表格化和图形表示。基于估计数据的研究仅保留用于定性综述和讨论,在这些研究中它们有助于解释与特定饲喂实践相关的矿物质失衡潜在风险。

所有纳入综述的研究的综合摘要,包括研究设计、物种、日粮特征和所报告矿物质数据类型,见补充表S1 [17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74]和表S2 [75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92]。

2.4. 数据提取

从每项分析性研究中提取以下信息(若有):目标物种(犬或猫)、评估的日粮类型(常规商品、替代或治疗性)、日粮形式(干性或湿性)、生命阶段或生理背景、分析的矿物质、原始单位和表达基础,以及报告的矿物质值(平均值±标准差[SD]、中位数、范围或单个日粮值)。为便于跨研究比较,数值单位进行了统一。对于以干物质为基础报告矿物质浓度的研究,常量元素以g/100 g DM表示,微量元素以mg/100 g DM表示,硒以µg/100 g DM表示。报告相对于能量摄入浓度的研究保留能量基础,并以每1000 kcal ME表示。当干物质基础与能量基础之间的转换需要关于水分含量或能量密度的假设时,未进行转换。以不同基础报告的值予以保留并明确标识。若有单个日粮值,则计算算术平均值和SD用于比较表格化。当研究报告范围但信息不足以计算平均值和SD时,范围按报告保留。未从范围或图形数据估计SD。当SD可直接从报告的平均值标准误(SEM)和样本量推导时,按SD = SEM × √n计算。数据提取由N.F.使用标准化数据提取表进行,随后由M.L.-A.核实。任何不确定性或差异均通过讨论和共识解决。

2.5. 方法学和分析质量评估

由于目前尚无经过验证的评价工具可用于评估宠物食品中矿物质浓度的研究,因此开发了研究特定的方法学和分析质量评估工具。该工具旨在表征与采样程序、日粮表征、样品制备、分析方法、分析质量控制和报告完整性相关的研究特征。它并非旨在提供偏倚风险的正式估计。标准由两位具有矿物质分析专业知识的作者(B.L. 和 M.L-A.)共同确定。研究由这些作者独立评估,评估通过共识达成。完整的评估工具见表1。

Table 1. Methodological and analytical quality assessment tool for studies evaluating mineral concentrations in dog and cat diets. Each item was scored as 1 when the criterion was met and 0 when absent or insufficiently reported. AF: as fed; CRM: certified reference material; DM: dry matter.

Table 1 Methodological and analytical quality assessment tool for studies evaluating mineral concentrations in dog and cat diets. Each item was scored as 1 when the criterion was met and 0 when absent or insufficiently reported. AF: as fed; CRM: certified reference material; DM: dry matter.
DomainItem
Sample representativenessc1. Sampling strategy adequately described (source of products and selection process reported)
Diet characterizationc2. Diet type, format, species, and relevant characteristics clearly described
Sample preparation and matrix handlingc3. Homogenization described
c4. Digestion method described
c5. Composite sampling from multiple packages described
Analytical techniquec6. Analytical method for mineral quantification clearly described and appropriate for the analytes measured
Analytical quality controlc7. Analytical accuracy assessed using CRM, recovery studies, or equivalent validation procedures
c8. Analysis of duplicates/triplicates (analytical precision)
c9. Limits of detection and/or quantification reported
Reporting completenessc10. Results reported with appropriate quantitative detail (individual values or a measure of variability)
c11. Basis of expression of mineral concentrations clearly described (e.g., DM, AF, or energy basis)

该评估仅适用于报告完整日粮中经分析测定的矿物质浓度的研究。基于估计矿物质组成的研究未使用该工具进行评估,因为估计值反映的是配方或标示的营养成分,而非最终产品中实际的矿物质浓度。因此,评估中纳入的分析质量领域不适用于这些研究。

该评估包含11个二分类条目(c1–c11;表1),当满足标准时每项计为1分,当未报告或未满足标准时计为0分。总分按满足标准的数量计算。对于不需要样品消解的分析方法,消解标准被视为不适用,并从分母中排除。评分用作方法学和分析质量的描述性指标,而非偏倚风险的正式评估。

2.6. 参考标准与矿物质水平充足性评估

经分析测定的矿物质浓度参照已建立的营养指南(表S3和表S4)进行解读,包括欧洲宠物食品工业联合会(FEDIAF)[12]和美国饲料控制官员协会(AAFCO)[11]提出的指南。对于本综述中专门进行的比较性评估,选择FEDIAF 2024[12]建议作为共同参考框架,因为它们为完整犬猫食品提供了单一、最新的营养建议集,并允许在本综述纳入的日粮类别之间进行一致比较。因此,当获得各日粮浓度数据时,将其分类为低于、处于或高于相应的FEDIAF推荐范围。这些分类构成了热图的基础。AAFCO建议仅在原始研究报告或讨论充足性评估时予以保留;在此类情况下,参考框架在文中明确标识,且这些分类未与基于FEDIAF的热图评估合并。

2.7. 数据综合与呈现

经分析获得的矿物质组成数据分别在犬(表2和表3)和猫(表4和表5)日粮的单独表格中汇总,并按常量矿物质和微量元素分别整理,依据研究中评估的主要日粮因素(日粮类型、日粮形式、配方特征和生理背景)进行组织。由于可用研究数量有限且所评估元素、分析范围和报告方法高度异质,潜在毒性元素的信息单独汇总。跨研究绝对矿物质浓度的直接定量比较仅限于以相同基础表达的数据。

Table 2. Macromineral composition of commercial and alternative dog diets reported in the literature. Unless otherwise indicated, weight-based values are expressed as g/100 g dry matter. Values expressed per 1000 kcal of metabolizable energy are underlined. Data are presented as mean ± standard deviation (SD) where available, median (range), or range, either as reported in the original studies or calculated from individual diet values as described in the Methods. Mean values are presented without SD when SD was not reported and could not be validly derived. Values reported on a different basis are specifically identified. Ref.: reference.

Table 2 Macromineral composition of commercial and alternative dog diets reported in the literature. Unless otherwise indicated, weight-based values are expressed as g/100 g dry matter. Values expressed per 1000 kcal of metabolizable energy are underlined. Data are presented as mean ± standard deviation (SD) where available, median (range), or range, either as reported in the original studies or calculated from individual diet values as described in the Methods. Mean values are presented without SD when SD was not reported and could not be validly derived. Values reported on a different basis are specifically identified. Ref.: reference.
Ref.Type of DietCaPCa:PMgNaKCl
Conventional diets
[ 18 ]Adult dry1.46 ± 0.3260.875 ± 0.2301.69 ± 0.1560.198 ± 0.0741 0.502 ± 0.151
[ 21 ]Growth dry1.57 ± 0.4701.04 ± 0.1701.40 ± 0.3400.160 ± 0.08000.370 ± 0.1000.550 ± 0.1200.680 ± 0.210
[ 26 ]Wet 3.13 ± 1.03 3.36 ± 0.890
[ 28 ] ‡Wet 3.70 2.80 1.40 0.300 1.90 2.40
[ 29 ] †Commercial 1.25 ± 0.2900.900 ± 0.180 0.570 ± 0.5300.770 ± 0.140
[ 30 ] †Dry0.210 ± 0.1000.140 ± 0.0400 0.0170 ± 0.0100 0.0840 ± 0.0100
[ 38 ]Dry 0.490–2.59 0.318–0.7050.529–1.05
[ 54 ]Weight-loss 3.04 ± 0.518 2.99 ± 0.799 1.03 ± 0.0960 0.332 ± 0.152 1.20 ± 0.380 2.59 ± 0.680
Alternative diets
[ 28 ]Commercial homemade-style/RMBD 2.18 ± 1.39 1.89 ± 0.689 1.12 ± 0.678 0.320 ± 0.103 0.870 ± 0.604 2.24 ± 0.920
[ 33 ] *Commercial plant-based: adult1.07 (0.380–1.90)0.800 (0.500–1.50)1.30 (0.800–2.50)0.150 (0.100–0.230)0.340 (0.0200–1.27)1.11 (0.730–1.72)0.930 (0.0900–2.47)
Commercial plant-based: growth1.12 (0.480–1.45)0.880 (0.580–1.12)1.30 (0.800–1.40)0.180 (0.100–0.670)0.360 (0.290–0.690)1.21 (0.730–1.72)1.12 (0.230–1.41)
[ 57 ]Home-prepared, not supplemented 0.310 ± 0.310 1.16 ± 0.770 0.260 ± 0.220 0.250 ± 0.110 0.350 ± 0.290 0.770 ± 0.330
Home-prepared, supplemented 1.77 ± 1.52 1.09 ± 0.610 1.78 ± 1.46 0.190 ± 0.110 0.510 ± 0.490 0.850 ± 0.460
[ 57 ]Home-prepared, with meat 0.810 ± 1.04 1.13 ± 0.450 0.840 ± 1.22 0.210 ± 0.110 0.420 ± 0.370 0.800 ± 0.410
Home-prepared, vegetarian 1.38 ± 1.85 1.14 ± 0.410 1.09 ± 1.16 0.280 ± 0.110 0.440 ± 0.480 0.830 ± 0.250
[ 60 ] *Commercial insect-based1.30 (0.910–2.81)0.930 (0.690–1.70)1.59 (0.580–2.95)0.210 (0.120–0.310)
[ 69 ] ‡Home-prepared (growth)0.09000.3700.2500.09000.1100.760
[ 70 ] ‡Home-prepared RMBD with commercial premix (growth)0.08000.4400.1820.1300.1050.590
[ 71 ]Commercial RMBD: adult 3.70 ± 2.80 2.30 ± 1.30 1.50 ± 0.600
Commercial RMBD: growth 2.70 ± 0.800 1.80 ± 0.200 1.50 ± 0.500
Commercial RMBD: all life stages 4.50 ± 3.00 2.20 ± 0.900 1.90 ± 0.700
[ 73 ]Commercial vegan0.800 ± 0.2201.00 ± 0.06000.800 ± 0.1800.170 ± 0.06000.270 ± 0.1800.770 ± 0.450
Comparative studies: conventional vs. alternative diets
[ 25 ]Commercial meat-based 4.68 ± 2.93 3.16 ± 1.19 1.41 ± 0.380 0.320 ± 0.0500 1.05 ± 0.470 1.76 ± 0.390 1.80 ± 1.00
Commercial plant-based 2.81 ± 1.13 2.24 ± 0.530 1.33 ± 0.630 0.500 ± 0.160 0.910 ± 0.250 2.54 ± 0.470 1.60 ± 0.850
Commercial renal 1.06 ± 0.240 0.770 ± 0.0800 1.40 ± 0.250 0.220 ± 0.0200 0.560 ± 0.110 1.62 ± 0.100 1.60 ± 0.340
Comparisons within conventional diets
[ 27 ] †Adult1.02 ± 0.2400.840 ± 0.290 0.130 ± 0.03000.390 ± 0.07000.670 ± 0.110
Puppy1.62 ± 0.5201.15 ± 0.320 0.120 ± 0.07000.510 ± 0.1400.680 ± 0.150
[ 31 ] *Wet1.981.57 0.1351.021.49
Dry1.290.956 0.1210.4090.625
[ 45 ]Cereal-containing dry1.09 ± 0.3080.750 ± 0.1361.47 ± 0.3870.144 ± 0.03170.428 ± 0.07760.713 ± 0.127
Cereal-free dry1.08 ± 0.4030.771 ± 0.1941.46 ± 0.5400.145 ± 0.03330.527 ± 0.1560.964 ± 0.161
[ 48 ]Fish dry0.455 ± 0.07201.34 ± 0.3000.351 ± 0.08600.211 ± 0.08700.588 ± 0.1900.935 ± 0.149
Poultry dry0.449 ± 0.09701.31 ± 0.1300.344 ± 0.06300.153 ± 0.04100.422 ± 0.07000.768 ± 0.137
[ 48 ]Lamb dry0.620 ± 0.1221.36 ± 0.2500.472 ± 0.1470.228 ± 0.1020.443 ± 0.05500.739 ± 0.197
Beef dry0.441 ± 0.04001.06 ± 0.2700.443 ± 0.1440.133 ± 0.03300.425 ± 0.09600.852 ± 0.124
Mixture dry0.425 ± 0.2071.27 ± 0.2400.323 ± 0.1410.159 ± 0.04900.458 ± 0.1180.871 ± 0.221
Other dry0.450 ± 0.07001.26 ± 0.3400.373 ± 0.1140.154 ± 0.1300.683 ± 0.4140.970 ± 0.142
[ 55 ]Non-prescription dry1.07 ± 0.1850.553 ± 0.107
Hepatic dry0.478 ± 0.2260.246 ± 0.167
Renal dry0.384 ± 0.1020.263 ± 0.169
Gastrointestinal dry0.594 ± 0.1410.345 ± 0.106
Hypoallergenic dry0.658 ± 0.1360.390 ± 0.124
[ 56 ] †Dry1.41 ± 0.1201.58 ± 0.510 0.160 ± 0.0130
Wet0.680 ± 0.2901.39 ± 0.290 0.0680 ± 0.0110
[ 43 ]Super-premium dry1.020.880
Premium dry1.411.20
White brand 1 dry2.021.51
White brand 2 dry1.400.960
[ 58 ]Low-price dry2.821.481.920.1970.7240.621
Medium dry1.751.151.520.1310.8020.740
Premium dry1.851.121.710.1630.6340.618
Super-premium dry1.260.9041.410.1240.5911.00
[ 61 ]Dry1.08 ± 0.3401.00 ± 0.4001.10 ± 0.3000.100 ± 0.03000.320 ± 0.1900.460 ± 0.140
Wet2.11 ± 1.191.78 ± 0.9101.20 ± 0.3000.0900 ± 0.02001.14 ± 0.4901.07 ± 0.470
[ 72 ] †Adult1.28–1.571.07–1.161.10–1.46
Puppies, medium/large breeds1.33–1.450.920–1.041.32–1.44
[ 72 ] †Puppies + reproduction1.38–1.420.940–1.021.35–1.51
Adults, medium/large breeds0.960–1.350.960–1.110.910–1.33

Table 3. Trace element composition of commercial and alternative dog diets reported in the literature. Unless otherwise indicated, weight-based values are expressed as mg/100 g dry matter, with selenium expressed as µg/100 g dry matter. Values expressed per 1000 kcal of metabolizable energy are underlined. Data are presented as mean ± standard deviation (SD) where available, median (range), or range, either as reported in the original studies or calculated from individual diet values as described in the Methods. Mean values are presented without SD when SD was not reported and could not be validly derived. Values reported on a different basis are specifically identified. Ref.: reference.

Table 3 Trace element composition of commercial and alternative dog diets reported in the literature. Unless otherwise indicated, weight-based values are expressed as mg/100 g dry matter, with selenium expressed as µg/100 g dry matter. Values expressed per 1000 kcal of metabolizable energy are underlined. Data are presented as mean ± standard deviation (SD) where available, median (range), or range, either as reported in the original studies or calculated from individual diet values as described in the Methods. Mean values are presented without SD when SD was not reported and could not be validly derived. Values reported on a different basis are specifically identified. Ref.: reference.
Ref.Type of DietCoCuFeIMnMoSeZn
Conventional diets
[ 18 ]Adult dry 0.981 ± 0.15528.0 ± 18.5 3.78 ± 4.25 45.0 ± 25.99.86 ± 5.36
[ 21 ]Growth dry 3.23 ± 1.0936.8 ± 12.20.415 ± 0.6135.93 ± 3.20 57.0 ± 27.017.9 ± 5.76
[ 30 ] †Dry 1.42 ± 0.70023.0 ± 6.60 3.70 ± 2.60 20.0 ± 11.4
[ 38 ]Dry 0.00800–0.0590 18.8–64.6 24.0–2144.40–63.3
[ 40 ] *Dry 4.40 (2.30–9.00) 62.0 (25.5–278) 11.7 (2.30–26.5) 180 (90–490) 53.0 (33.0–82.2)
[ 41 ]Wet 0.0700–5.04
[ 42 ]Dry & wet0.0419 ± 0.06782.18 ± 1.28 0.0979 ± 0.0449 25.4 ± 15.5
[ 44 ]Dry 0.401 ± 0.1333.56 ± 1.6053.0 ± 30.9 2.52 ± 6.82
[ 46 ] *Dry 0.250 (0.0400–0.650)
[ 54 ]Weight-loss dry 19.5 ± 6.54 99.8 ± 36.0 23.3 ± 11.4 56.2 ± 147 65.9 ± 11.2
[ 63 ]Dry & wet 40.0
[ 74 ]Dry & wet0.165 ± 0.236 33.9 ± 21.3
[ 28 ] ‡Wet 5.00 55.8 4.90 0 5.40
Alternative diets
[ 28 ]Commercial homemade-style/RMBD 2.20 ± 1.50 28.2 ± 17.5 4.64 ± 2.62 30.0 ± 94.9 32.8 ± 33.3
[ 33 ] *Commercial plant-based: adult 2.34 (0.890–5.47)22.7 (10.7–75.0) 4.13 (1.39–7.39) 15.5 (4.46–35.9)
Commercial plant-based: growth 3.25 (1.43–3.49)41.5 (12.7–61.6) 4.83 (1.39–8.26) 15.6 (9.32–35.9)
[ 57 ]Home-prepared, not supplemented 7.30 ± 6.23 9.59 ± 5.02 3.23 ± 2.69 1.53 ± 7.02 11.1 ± 6.93
[ 57 ]Home-prepared, supplemented 11.6 ± 12.4 15.3 ± 12.2 3.96 ± 4.09 0.00 ± 0.00 15.0 ± 10.9
Home-prepared, with meat 8.98 ± 9.75 12.1 ± 9.90 3.31 ± 3.45 0.580 ± 4.51 13.9 ± 9.43
Home-prepared, vegetarian/vegan 9.57 ± 8.29 11.1 ± 4.58 4.62 ± 2.62 2.42 ± 8.39 7.27 ± 2.92
[ 60 ] *Commercial insect-based 1.90 (0.641–2.98)50.8 (7.98–88.9) 25.5 (4.25–51.2)
[ 70 ] ‡Home-prepared RMBD with commercial premix (growth) 0.5006.20 3.10 4.80
[ 71 ]Commercial RMBD: adult 1.70 ± 0.900 32.6 ± 28.1
Commercial RMBD: growth 1.60 ± 0.300 37.7 ± 24.8
Commercial RMBD: all life stages 2.70 ± 2.90 14.9 ± 5.70
[ 73 ]Commercial vegan 4.80 ± 1.6151.3 ± 20.5 7.37 ± 2.15 21.0 ± 3.00
Comparative studies: conventional vs. alternative diets
[ 25 ]Commercial meat-based 4.55 ± 2.25 84.3 ± 57.3 0.280 ± 0.170 12.4 ± 4.50 101 ± 33.0 35.8 ± 11.6
Commercial plant-based 5.17 ± 1.47 117 ± 99.0 0.140 ± 0.100 17.1 ± 8.20 77.3 ± 25.1 34.3 ± 12.8
Commercial renal 3.62 ± 1.01 34.1 ± 9.30 0.300 ± 0.0900 13.4 ± 4.20 60.8 ± 25.3 37.2 ± 10.7
Comparisons within conventional diets
[ 22 ] †Dry0.0316 ± 0.0266 0.0847 ± 0.0399
Wet0.00929 ± 0.0108 0.0246 ± 0.0147
[ 27 ] †Adult 1.14 ± 0.16222.1 ± 4.9070.5 ± 19.43.22 ± 1.80 20.1 ± 4.60
Puppy 3.01 ± 3.6037.8 ± 10.494.2 ± 48.54.33 ± 1.50 47.6 ± 55.7
[ 31 ] *Wet0.0000100 0.00233<0.0000640 (LOQ) 0.0170
Dry0.00000800 0.00579<0.0000640 (LOQ) 0.0180
[ 32 ] †Adult0.00800–0.08200.900–6.0017.7–86.20.0900–1.400.600–11.1 4.40–55.4
Puppy0.00800–0.07501.50–6.4019.8–67.50.0700–1.401.60–14.9 4.60–61.4
[ 36 ]Dry 0.540 ± 0.2103.84 ± 1.29 0.720 ± 0.370
Wet 0.790 ± 0.2706.52 ± 0.550 1.16 ± 0.620
[ 45 ]Cereal-containing dry 1.68 ± 0.28039.9 ± 16.7 4.27 ± 2.63 17.4 ± 4.86
Cereal-free dry 2.16 ± 0.44046.9 ± 22.9 5.78 ± 5.66 19.9 ± 8.47
[ 48 ]Fish dry 1.34 ± 0.59017.7 ± 8.40 2.98 ± 1.500.113 ± 0.0250 8.63 ± 3.18
Poultry dry 1.13 ± 0.14016.8 ± 5.82 1.80 ± 0.7400.0980 ± 0.00800 9.51 ± 1.90
Lamb dry 1.49 ± 0.31020.9 ± 4.69 3.57 ± 0.4500.110 ± 0.0140 9.06 ± 3.56
Beef dry 1.84 ± 0.74017.4 ± 6.06 3.52 ± 1.530.105 ± 0.00800 7.92 ± 2.18
Mixture dry 1.14 ± 0.28023.7 ± 12.9 2.43 ± 1.030.101 ± 0.0310 10.6 ± 7.36
Other dry 0.878 ± 0.78211.9 ± 3.01 2.99 ± 3.090.110 ± 0.0170 5.52 ± 3.38
[ 51 ] †Premium dry 1.34 ± 0.23012.2 ± 2.24 4.59 ± 1.910.0406 ± 0.0086966.0 ± 29.917.5 ± 2.52
Low-cost dry 1.49 ± 0.16017.7 ± 6.47 4.66 ± 1.400.0455 ± 0.014371.0 ± 20.614.6 ± 2.36
[ 52 ]Junior dry 2.30 ± 0.63867.8 ± 27.1 31.4 ± 10.8
Adult dry 4.29 ± 0.87439.3 ± 12.8 33.2 ± 5.77
[ 55 ]Non-prescription dry 0.944 ± 0.59849.5 ± 24.7 2.18 ± 1.01 201 ± 2108.94 ± 6.02
Hepatic dry 0.868 ± 0.71520.2 ± 21.0 4.55 ± 6.58 229 ± 3689.98 ± 3.44
Renal dry 0.903 ± 0.63347.9 ± 108 2.25 ± 1.08 101 ± 99.511.2 ± 7.03
Gastrointestinal dry 1.24 ± 0.56049.9 ± 53.0 3.17 ± 1.21 189 ± 16812.6 ± 4.93
Hypoallergenic dry 1.33 ± 0.53547.1 ± 80.0 3.50 ± 1.87 184 ± 20216.8 ± 5.95
[ 56 ] †Dry0.0140 ± 0.002001.58 ± 0.12036.2 ± 4.26 3.78 ± 0.7860.0870 ± 0.0060056.0 ± 5.0013.3 ± 0.879
Wet0.0120 ± 0.008002.57 ± 1.5491.0 ± 54.4 2.32 ± 1.280.110 ± 0.0250150 ± 19.023.5 ± 6.60
[ 58 ]Low-price dry 2.1333.2 7.48 43.227.9
Medium dry 1.9815.2 8.29 52.730.6
Premium dry 1.8020.8 6.53 10230.1
[ 58 ]Super-premium dry 2.9433.6 8.93 95.439.8
[ 61 ]Dry0.140 ± 0.1301.50 ± 0.74016.5 ± 10.7 5.35 ± 1.71 6.22 ± 4.0523.1 ± 15.7
Wet0.0400 ± 0.03000.850 ± 0.58017.0 ± 11.6 4.94 ± 4.95 10.6 ± 9.3011.1 ± 5.95

Table 4. Macromineral composition of commercial and alternative cat diets reported in the literature. Unless otherwise indicated, weight-based values are expressed as g/100 g dry matter. Values expressed per 1000 kcal of metabolizable energy are underlined. Data are presented as mean ± standard deviation (SD) where available, median (range), or range, either as reported in the original studies or calculated from individual diet values as described in the Methods. Mean values are presented without SD when SD was not reported and could not be validly derived. Values reported on a different basis are specifically identified. Ref.: reference.

Table 4 Macromineral composition of commercial and alternative cat diets reported in the literature. Unless otherwise indicated, weight-based values are expressed as g/100 g dry matter. Values expressed per 1000 kcal of metabolizable energy are underlined. Data are presented as mean ± standard deviation (SD) where available, median (range), or range, either as reported in the original studies or calculated from individual diet values as described in the Methods. Mean values are presented without SD when SD was not reported and could not be validly derived. Values reported on a different basis are specifically identified. Ref.: reference.
Ref.Type of DietCaPCa:PMgNaKCl
Conventional diets
[ 26 ]Wet 3.09 ± 1.28 2.76 ± 1.48
[ 29 ] †Commercial1.64 ± 0.5001.18 ± 0.250 0.680 ± 0.7800.820 ± 0.130
[ 30 ] †Dry0.170 ± 0.06600.140 ± 0.0290 0.0170 ± 0.00670 0.0880 ± 0.0180
[ 72 ] †Adult1.45 ± 0.4001.07 ± 0.1101.33 ± 0.250
Alternative diets
[ 33 ] *Commercial plant-based: adult0.840 (0.480–1.42)0.790 (0.560–1.07)1.10 (0.800–1.40)0.170 (0.0900–0.190)0.330 (0.170–0.730)1.06 (0.680–1.72)0.950 (0.380–1.46)
Commercial plant-based: growth0.960 (0.480–1.39)0.760 (0.560–1.07)1.24 (0.830–1.39)0.180 (0.0900–0.190)0.330 (0.290–0.730)1.44 (0.680–1.72)1.03 (0.790–1.46)
[ 57 ]Home-prepared, not supplemented 0.700 ± 0.700 1.29 ± 0.390 0.500 ± 0.380 0.270 ± 0.110 0.460 ± 0.360 1.00 ± 0.520
Home-prepared, supplemented 2.26 ± 1.22 1.33 ± 0.510 2.26 ± 2.19 0.230 ± 0.0700 0.780 ± 0.410 1.07 ± 0.360
Home-prepared, with meat 1.76 ± 1.33 1.34 ± 0.470 1.69 ± 2.01 0.230 ± 0.0600 0.700 ± 0.420 1.01 ± 0.370
Home-prepared, vegetarian 0.700 ± 0.320 1.13 ± 0.350 0.600 ± 0.0800 0.340 ± 0.190 0.300 ± 0.200 1.30 ± 0.670
[ 71 ]Commercial RMBD 4.80 ± 2.40 2.90 ± 1.10 1.60 ± 0.300
[ 73 ] ‡Commercial vegan0.7201.070.6700.1700.2000.540
Comparative studies: conventional vs. alternative diets
[ 67 ] *Dry 3.90 (1.80–7.40) 3.10 (1.80–4.90) 1.30 (0.800–1.60) 0.300 (0.100–0.500)
Wet 3.30 (0.300–8.70) 2.80 (0.600–5.80) 1.30 (0.500–1.70) 0.200 (0.0500–0.490)
Commercial raw 4.60 (1.00–8.20) 3.10 (1.20–5.20) 1.40 (0.800–1.60) 0.300 (0.100–0.500)
Comparisons within conventional diets
[ 23 ]Renal dry0.6150.3861.590.0710
Urinary dry0.5690.4361.310.0710
Obesity dry0.5720.3701.55 0.0570
Non-prescription dry1.130.6061.860.0920
Gastrointestinal dry0.8390.6031.390.0930
[ 27 ] †Adult1.32 ± 0.3700.880 ± 0.130 0.140 ± 0.03000.530 ± 0.1400.680 ± 0.180
Kitten1.51 ± 0.3101.00 ± 0.250 0.140 ± 0.03000.500 ± 0.07000.580 ± 0.150
[ 31 ] *Wet1.741.57 0.1051.191.34
Dry1.411.24 0.1110.5690.769
[ 56 ] †Dry1.56 ± 0.7501.89 ± 0.720 0.150 ± 0.0570
Wet0.700 ± 0.2401.36 ± 0.310 0.0740 ± 0.0200
[ 66 ] *Senior-labelled 3.70 (1.90–5.70) 3.20 (1.50–4.40) 1.30 (0.900–1.60) 0.280 (0.120–0.560) 1.10 (0.700–2.70) 2.30 (1.70–3.60)
Adult-labelled 3.90 (0.800–8.70) 3.10 (0.900–5.80) 1.30 (0.800–1.70) 0.270 (0.0600–0.540) 1.10 (0.500–3.90) 2.20 (1.20–3.90)

Table 5. Trace element composition of commercial and alternative cat diets reported in the literature. Unless otherwise indicated, weight-based values are expressed as mg/100 g dry matter, with selenium expressed as µg/100 g dry matter. Values expressed per 1000 kcal of metabolizable energy are underlined. Data are presented as mean ± standard deviation (SD) where available, median (range), or range, either as reported in the original studies or calculated from individual diet values as described in the Methods. Mean values are presented without SD when SD was not reported and could not be validly derived. Values reported on a different basis are specifically identified. Ref.: reference.

Table 5 Trace element composition of commercial and alternative cat diets reported in the literature. Unless otherwise indicated, weight-based values are expressed as mg/100 g dry matter, with selenium expressed as µg/100 g dry matter. Values expressed per 1000 kcal of metabolizable energy are underlined. Data are presented as mean ± standard deviation (SD) where available, median (range), or range, either as reported in the original studies or calculated from individual diet values as described in the Methods. Mean values are presented without SD when SD was not reported and could not be validly derived. Values reported on a different basis are specifically identified. Ref.: reference.
Ref.Type of DietCoCuFeIMnMoSeZn
Conventional diets
[ 30 ] †Dry 1.50 ± 0.60027.2 ± 12.3 3.77 ± 2.50 15.5 ± 9.40
[ 42 ]Dry & wet0.0258 ± 0.04081.32 ± 1.34 0.0766 ± 0.0593 13.7 ± 15.7
[ 44 ]Dry 0.244 ± 0.05603.81 ± 1.3838.9 ± 8.85 19.5 ± 5.46
[ 63 ]Dry & wet 114
[ 74 ]Dry & wet 0.0660 ± 0.0690 38.3 ± 34.5
Alternative diets
[ 33 ] *Commercial plant-based: adult 2.49 (1.43–3.44)26.5 (10.5–42.2) 4.11 (1.31–6.72) 18.7 (8.90–35.9)
Commercial plant-based: growth 2.65 (1.43–3.44)24.6 (10.5–41.4) 4.10 (1.31–5.55) 21.5 (8.90–35.9)
[ 57 ]Home-prepared, not supplemented 7.23 ± 8.21 10.2 ± 3.47 3.63 ± 4.98 20.7 ± 62.1 10.3 ± 5.52
Home-prepared, supplemented 15.5 ± 12.9 15.5 ± 5.55 1.65 ± 3.14 0.00 16.5 ± 8.19
Home-prepared, with meat 12.3 ± 11.9 13.5 ± 5.61 1.58 ± 2.69 0.00 16.5 ± 8.67
Home-prepared, vegetarian 11.5 ± 12.4 12.7 ± 4.43 8.77 ± 6.41 69.0 ± 97.6 10.9 ± 5.32
[ 71 ]Commercial RMBD: adult 2.60 ± 1.20 27.1 ± 10.7
[ 73 ] ‡Commercial vegan 7.6039.0 7.00 24.0
Comparative studies: conventional vs. alternative diets
[ 68 ] *Dry 6.00 (3.20–10.5) 61.4 (29.8–104) 57.0 (17.2–122)
Wet 5.20 (1.40–13.3) 59.3 (24.5–379) 43.8 (21.3–128)
Raw 3.60 (0.800–8.10) 34.5 (15.7–74.4) 18.7 (7.60–43.2)
Adult-labelled 5.60 (0.800–13.3) 54.8 (15.7–135) 43.6 (7.60–106)
Senior-labelled 5.70 (3.10–10.5) 64.9 (29.8–379) 57.2 (35.6–128)
Comparisons within conventional diets
[ 19 ] *Wet 0.440 (0.0700–1.94)
Dry 0.300 (0.0900–0.910)
[ 20 ] #Salmon-based wet 0.218 ± 0.12310.6 ± 7.82 0.246 ± 0.0633 2.08 ± 0.443
Tuna-based wet 0.295 ± 0.19313.2 ± 9.57 0.280 ± 0.123 2.02 ± 0.642
Liver-based wet 0.204 ± 0.1687.14 ± 5.39 0.364 ± 0.0980 2.14 ± 0.231
Aquatic-product wet, kitten 0.266 ± 0.23312.1 ± 12.3 0.264 ± 0.139 2.11 ± 0.635
[ 22 ] †Dry0.0292 ± 0.0248 0.0968 ± 0.0539
Wet0.00843 ± 0.00953 0.0182 ± 0.0145
[ 23 ]Renal dry 1.1868.6 2.41 13512.3
Urinary dry 1.5359.4 3.43 30414.2
Obesity dry 1.5431.2 3.22 17613.6
Non-prescription dry 1.0649.6 1.77 2287.26
Gastrointestinal dry 1.5135.9 2.80 21715.6
[ 27 ] †Adult 1.07 ± 0.23826.9 ± 12.730.8 ± 9.704.81 ± 2.80 18.5 ± 5.80
Kitten 1.38 ± 0.38880.9 ± 4.8829.5 ± 16.54.43 ± 1.96 20.9 ± 9.97
[ 31 ] *Wet0.00000800 0.001970.0000750 0.0154
Dry0.00000800 0.00596<0.0000640 (LOQ) 0.0176
[ 36 ]Dry 1.18 ± 0.5104.26 ± 1.84 1.61 ± 1.13
Wet 1.24 ± 0.4506.88 ± 0.230 1.45 ± 0.820
[ 37 ] *Dry & wet 0.350 (0.0200–15.5)
Kitten dry & wet 0.501 (0.294–0.728)
Adult non-therapeutic dry & wet 0.364 (0.0200–15.5)
Therapeutic dry & wet 0.261 (0.0840–0.500)
[ 51 ] †Premium dry 1.34 ± 0.32013.1 ± 2.42 4.51 ± 2.440.0462 ± 0.030876.1 ± 15.417.7 ± 3.01
Low-cost dry 1.49 ± 0.39019.0 ± 4.34 4.22 ± 1.570.0427 ± 0.017777.5 ± 18.716.1 ± 4.38
[ 56 ] †Dry0.0130 ± 0.006001.65 ± 0.38038.4 ± 10.2 2.59 ± 1.250.0880 ± 0.038074.0 ± 36.016.7 ± 6.40
Wet0.0100 ± 0.005002.01 ± 1.2089.6 ± 61.8 3.73 ± 1.610.0800 ± 0.0300120 ± 43.015.8 ± 6.70

为提供产品间变异性的相对度量,对以均值±标准差报告的矿物质浓度、或可按上述方法直接推导出均值和标准差的矿物质浓度,计算了变异系数(CV),公式为(SD/均值)× 100。CV在各研究内或各日粮亚组内计算,无法获得SD时不予估计。所得CV列于表6。

Table 6. Coefficients of variation (CV, %) for mineral concentrations in dog and cat diets included in the analytical synthesis.

Table 6 Coefficients of variation (CV, %) for mineral concentrations in dog and cat diets included in the analytical synthesis.
Ref.Type of DietCaPCa:PMgNaKClCoCuFeIMnMoSeZn
Conventional diets
[ 18 ]Adult dry dog2226937 30 1666 112 5854
[ 21 ]Growth dry dog30162450272231 343314854 4732
[ 26 ]Wet dog 33 26
[ 29 ]Commercial dog2320 9318
[ 30 ]Dry dog4829 59 12 4929 70 57
[ 42 ]Dry & wet dog 16259 46 61
[ 44 ]Dry dog 334558 271
[ 54 ]Weight-loss dry dog17279463226 3436 49 26217
[ 74 ]Dry & wet dog 143 63
[ 26 ]Wet cat 41 54
[ 29 ]Commercial cat3021 11516
[ 30 ]Dry cat3921 39 20 4045 66 61
[ 42 ]Dry & wet cat 158102 77 115
[ 44 ]Dry cat 233623 28
[ 72 ]Adult cat281019
[ 74 ]Dry & wet cat 105 90
Alternative diets
[ 28 ]Commercial homemade-style/RMBD643661326941 6862 56 316102
[ 57 ]Home-prepared, not supplemented dog1006685448343 8552 83 45962
Home-prepared, supplemented dog865682589654 10780 103 73
Home-prepared, with meat dog12840145528851 10982 104 77868
Home-prepared, vegetarian dog134361063910930 8741 57 34740
[ 71 ]Commercial RMBD: adult dog765740 53 86
Commercial RMBD: growth dog301133 19 66
Commercial RMBD: all life stages dog674137 107 38
[ 73 ]Commercial vegan dog27622356758 3440 29 14
[ 57 ]Home-prepared, not supplemented cat1003076417852 11434 137 30054
Home-prepared, supplemented cat543897305334 8336 190 50
Home-prepared, with meat cat7635119266037 9742 170 53
Home-prepared, vegetarian cat463113566752 10835 73 14149
[ 71 ]Commercial RMBD cat503819
Commercial RMBD: adult cat 46 39
Comparative studies: conventional vs. alternative diets
[ 25 ]Commercial meat-based dog63382716452256 49686136 3332
Commercial plant-based dog40244732271953 28857148 3237
Commercial renal dog231018920621 28273031 4229
Comparisons within conventional diets
[ 22 ]Dry dog 84 47
Wet dog 116 60
[ 27 ]Adult dry dog2435 231816 14222856 23
Puppy dry dog3228 582722 120285135 117
[ 36 ]Dry dog 3934 51
Wet dog 348 53
[ 45 ]Cereal-containing dry dog281826221818 1742 62 28
Cereal-free dry dog372537233017 2049 98 43
[ 48 ]Fish dry dog162225413216 4447 5022 37
Poultry dry dog221018271718 1235 418 20
Lamb dry dog201831451227 2122 1313 39
Beef dry dog92533252315 4035 438 28
Mixture dry dog491944312625 2554 4231 69
Other dry dog162731846115 8925 10315 61
[ 51 ]Premium dry dog 1718 42214514
Low-cost dry dog 1137 30312916
[ 52 ]Junior dry dog 2840 34
Adult dry dog 2033 17
[ 55 ]Non-prescription dry dog1719 6350 46 10467
Hepatic dry dog4768 82104 145 16134
Renal dry dog2764 70225 48 9963
Gastrointestinal dry dog2431 45106 38 8939
Hypoallergenic dry dog2132 40170 53 11035
[ 56 ]Dry dog932 8 14812 21797
Wet dog4321 16 676060 55231328
[ 61 ]Dry dog314027305930 934965 32 6568
Wet dog565125224344 756868 100 8854
[ 20 ]Salmon-based wet cat 5674 26 21
Tuna-based wet cat 6573 44 32
Liver-based wet cat 8275 27 11
Aquatic-product, wet kitten 88102 53 30
[ 22 ]Dry cat 85 56
Wet cat 113 80
[ 27 ]Adult dry cat2815 212626 22473158 31
Kitten dry cat2125 211426 2865644 48
[ 36 ]Dry cat 4343 70
Wet cat 363 57
[ 51 ]Premium dry cat 2418 54672017
Low-cost dry cat 2623 37412427
[ 56 ]Dry cat4838 38 462327 48434938
Wet cat3423 27 506069 43383642

为提供不同日粮类型和物种之间矿物质失衡的综合视觉摘要,使用在单个完整日粮水平上报告的分析实测矿物质组成数据构建了热图。仅纳入提供单个日粮矿物质浓度并允许与FEDIAF 2024参考值进行比较的基于分析的研究。对于每种矿物质和日粮类别,将单个值分类为低于、处于或高于推荐范围,热图表示超出推荐范围的日粮百分比。热图的每一行代表一项研究或一项研究内的一个日粮亚组;因此,每个单元格来源于单项研究。每一行所涉及的单个日粮数量在图中以n表示。热图中未纳入基于AAFCO的分类。单一日粮临床病例报告被排除在热图之外。

由于研究设计、分析覆盖范围、报告标准和毒理学参考值的差异,潜在毒性元素的数据无法采用与必需矿物质相同的方法进行汇总,因此生成了单独的半定量热图。仅评估市售宠物食品的研究被纳入综合。对于每项研究和每种元素,根据报告的法规不合规或毒理学关注水平对证据进行分类。在可获得时,超过相应参考阈值的样本比例通过使用分级颜色标尺纳入视觉分类。因此,热图应被解释为所报告毒理学关注的比较性表示,而非研究之间法规合规性的直接比较。

在描述性综合分析的范围内,膳食类别根据其配方和制备方式进行操作性定义。传统商业日粮包括商业制造的完整食品,涵盖干性和湿性产品;无谷物或谷类-free的商业配方被视为该类别内的配方变体,而非替代日粮。“替代日粮”一词仅作为广泛的组织标签保留,涵盖生肉骨日粮(RMBDs)、家庭自制日粮和植物基日粮,这些日粮在配方和/或制备方式上偏离了传统商业喂养模式。由于这些膳食方法在组成和配方策略上存在显著差异,因此作为独立的亚型进行分析和讨论,未作为单一膳食类别进行定量合并。RMBDs被定义为主要以未烹饪的动物源性原料为基础的日粮,包括肉类、可食用骨骼和/或器官,无论是商业制造还是主人配制的。家庭自制日粮被定义为由单个原料制备的非商业配方;当原始研究报告时,专业配制或兽医处方的日粮与主人配制或网络来源的配方进行了区分。被描述为“家庭自制风格”的商业产品被单独识别,未归类为家庭自制日粮。植物基日粮包括主要或完全以植物源性原料为基础的商业配方;素食或纯素家庭自制配方保留在家庭自制类别内并如此标识。

3. 结果与讨论

研究策略共识别出7943条记录,其中3499条为重复记录。经过筛选和资格评估后,76项研究被纳入综述:58项分析性研究评估矿物质组成,18项研究评估估计矿物质摄入量或矿物质水平的充足性。完整的研究选择过程见图1。

[图:PRISMA [16] flow diagram outlining the multi-database systematic literature search, screening process, and eligibility]

论文配图

从所综述研究中提取的分析性矿物质组成数据总结于表2、表3、表4和表5中。基于重量的数值使用统一单位表示,主要以干物质基础为主,而以每1000 kcal代谢能表示的数值在表中以下划线标出。具体而言,犬日粮数据呈现在表2(常量矿物质)和表3(微量元素)中,猫日粮数据呈现在表4(常量矿物质)和表5(微量元素)中。为便于解读各膳食类别中矿物质水平的充足性,分析结果被纳入图2的可视化综合中。

3.1. 犬和猫日粮矿物质组成分析性研究概述

本节综合了直接量化犬和猫完整日粮矿物质组成的研究证据,构成本分析的经验基础。现有文献包括仅分析犬日粮的研究(n=22)、同时包括犬和猫的研究(n=26)以及较少数仅关注猫日粮的研究(n=10)。总体而言,犬在更多研究中得到代表,多于猫(分别为48项和36项研究),犬日粮也涵盖了更广泛的日粮类型、形式和配方策略。

各研究评估了广泛的膳食类别,包括传统商业日粮、替代膳食方法(即RMBDs、家庭自制和植物基日粮)以及选定的兽医治疗性日粮。商业无谷或谷类-free配方被视为传统商业日粮的变体,而非独立的替代膳食类别。大多数研究采用描述性设计,聚焦于单一膳食类别,而相对较少的研究在同一实验框架内直接比较不同日粮类型、日粮形式或配方方法。在日粮形式(干性膨化产品与湿性罐装产品)、原料组成以及生命阶段或生理背景方面也观察到高度异质性,反映了现有文献中所涉及喂养实践的多样性。

关于矿物质覆盖范围和数据结構,钙和磷是最常报告的常量矿物质,而铁、锌、铜、碘和硒是最常分析的微量元素。其他微量元素的数据有限,各研究分析的矿物质谱存在显著差异。报告分辨率也有所不同,一些研究提供单个日粮水平的矿物质浓度,而另一些仅报告汇总值,导致现有证据的额外异质性。

除了报告分辨率和矿物质覆盖范围的差异外,研究的方法学质量也差异很大。方法学和分析质量评估(表S5)显示研究间存在显著差异。总体而言,分析方法、样品描述和结果报告通常记录良好,而在分析质量控制程序和样品代表性方面发现了重要缺陷。

使用有证标准物质或加标回收研究来评估分析准确性的研究有限(24/58项研究),这是一个特别重要的发现。虽然有几项研究报告了平行双份或三份分析(36/58项研究),这提供了分析精密度方面的信息,但较少有研究通过验证程序证明分析准确性。这一区别尤为重要,因为许多研究旨在确定是否符合营养推荐量。因此,缺乏分析准确性验证会降低对一些已报告浓度绝对准确性的信心。

在确保样品代表性所用程序方面也观察到相当大的差异。大多数研究仅分析每种产品的单一包装,而少数研究将多个包装合并为混合样品(11/58项研究)。在后一类研究中,一些研究从同一生产批次中取样包装,而另一些则有意纳入不同批次。同样,均质化程序从涉及二次取样、研磨、合并和均质化的详细方案(29/58项研究)到仅说明样品经过研磨或粉碎的简短陈述(14/58项研究)不等。有几项研究未提供任何关于均质化的信息。由于分析结果的代表性取决于原始样品和分析子样品的均匀性,取样或均质化程序报告不充分会降低对实测矿物质浓度准确反映最终产品组成的信心。

最后,检测限或定量限的报告较少(19/58项研究)。这一局限性对于常量矿物质而言可能不太重要,因为其浓度通常远超分析检测限。然而,对于微量元素和潜在有毒元素而言,这一局限性可能更为重要,因为分析灵敏度直接影响对未检出结果和合规性评估的解读。

总之,在解读已报告的矿物质浓度和评估是否符合营养推荐量时,应考虑这些方法学局限性,因为研究中观察到的一些变异性可能反映的是方法学差异而非日粮之间的真实差异。尽管如此,分析研究为犬猫日粮的矿物质组成提供了有价值但异质性高、分布不均的概览。虽然现有数据能够识别矿物质变异性的总体模式和范围,但研究设计、分析质量控制程序、取样策略、报告分辨率以及跨物种和日粮类型覆盖范围的差异,限制了各日粮类别之间的直接可比性。以下各节将探讨这些方面,考察影响矿物质变异性和充足性的日粮及生理因素。

[图:犬猫日粮中矿物质失衡相对于FEDIAF 2024指南的热图展示。每一行代表]

论文配图

3.2 常量矿物质

关于常量矿物质组成,常规日粮与替代日粮之间平均浓度的差异在各研究间并不一致,也未呈现统一的方向性模式。两个日粮类别均涵盖广泛的钙和磷值范围,且存在大量重叠。对于其他常量矿物质,包括镁、钠和钾,日粮类型之间同样缺乏一致的差异,尽管这些模式通常不如钙和磷明显。相比之下,关于氯化物的现有信息稀少,不足以支持日粮类别之间的稳健比较。

在此背景下,以变异系数(CVs)表示的产品间变异性为比较各日粮类别的矿物质组成提供了额外指标(表6)。CVs因研究和矿物质而异,但在几个替代日粮数据集中观察到钙和钙磷比(Ca:P)的值特别高。例如,在几个RMBD数据集中钙的CVs超过60%,在某些家庭自制日粮组中甚至更高,犬日粮中达到128–134%。同样,钙磷比的变异性在家庭自制日粮中也尤为明显,几个亚组的CVs超过100%。然而,这一模式并非在所有替代日粮中一致,常规商品日粮在特定矿物质上也显示出相当大的变异性。不过,高变异性在独立的常规日粮研究中较少被一致地重现。总体而言,几个替代日粮类别中观察到的显著变异性,加上单个产品水平上低于和高于推荐浓度的情况同时出现(图2),表明矿物质失衡的潜在风险更大。

热图分析总体上支持这一模式,尽管常规日粮中某些偏差在视觉上的显著性应谨慎解读,因为其中若干行代表同一研究中的亚组。特别是,跨蛋白质来源类别的显著钙和钙磷比缺乏主要来自单一研究[48]。其他针对常规商品日粮的独立调查未报告钙或磷浓度低于推荐最低值[40]或浓度在允许范围内[72],尽管在部分商品猫粮中发现了特定问题,如高磷浓度和低钙磷比[67]。鉴于钙磷平衡在骨骼发育和骨代谢中的关键作用,这种变异性代表了日粮类别之间最具营养相关性的差异之一[72]。

除分析测定外,基于主人自制配方计算营养素摄入量的评估进一步支持这一解释,表明替代日粮中大量矿物质浓度的高变异性不仅限于个别产品,而是大量配方中反复出现的特征,尤其是钙、磷和钙磷比。在95份主人制备的生骨肉日粮中,Dillitzer等[77]发现60%至少存在一项相关营养失衡;10%提供的钙低于推荐供给量的25%,且钙磷比明显偏低。同样,Hajek等[81]基于日粮的评估发现,接受RMBD的犬中营养失衡显著多于商品粮喂养的对照犬。总之,这些发现表明替代日粮中的大量矿物质失衡不仅限于个别分析调查,而是在独立数据集和评估方法中反复出现。

在替代日粮组内,特定亚型之间观察到大量矿物质浓度的差异。生肉日粮的钙和磷含量高度变异,钙磷比频繁失衡,这可能部分反映配方中所含骨骼的比例和类型(表2和表4)。与分析模式一致,分析研究报告了RMBD中钙供给的显著变异和钙磷比紊乱[28,71]。估计摄入量研究提供了补充证据,表明矿物质失衡在主人自制生食日粮中也频繁发生,包括基于非专业来源信息配制的日粮以及添加商品或天然补充剂的日粮[77,81]。重要的是,RMBD并非以一致的钙缺乏为特征:缺钙和钙过量以及钙磷比双向偏差均有报道。因此,主要关注点似乎是钙供给和钙磷平衡的不可预测性,而非单一方向的偏差。

家庭自制日粮显示出最明显的大量矿物质不足模式之一。虽然某些配方中大量矿物质几乎达到推荐水平,但其他配方中观察到与这些水平的巨大偏差,导致离散度大和变异系数高[57]。与RMBD中所观察到的类似,基于估计摄入量对家庭自制日粮配方的大规模评估进一步表明,大量矿物质(尤其是钙和磷)水平不足非常普遍,可能与原料定量不精确和补充策略不当有关[89,92]。

植物性日粮需要更细致的解读。商品植物性配方并未一致显示大量矿物质充足性差,其表现因研究和产品而异。然而,若干独立数据集记录了钙和磷缺乏以及钙磷比紊乱,尤其是在为生长期或全生命阶段配制的产品中[25,33,73]。例如,在Dodd等[33]中,七种用于生长期或全生命阶段的植物性犬粮中仅两种满足所有FEDIAF最低矿物质推荐量,钙和磷不足在湿性产品中尤为明显。在Zafalon等[73]评估的巴西系列中,所有三种纯素犬粮的钙磷比均低于FEDIAF推荐值,而唯一的纯素猫粮钙磷比偏低;然而,产品数量少限制了该研究的推广。这些发现表明,植物性日粮的营养充足性在很大程度上取决于配方和补充剂,而非取决于是否不含动物源成分本身。

3.3. 微量矿物质

微量矿物质组成在各研究和日粮类别之间显示出显著变异性,日粮类型之间在均值和变异方面均存在差异(表3和表5)。常规维持日粮中微量矿物质的平均浓度通常处于或接近推荐范围,尽管特定矿物质和日粮亚类报告了显著变异性以及低于和高于推荐浓度的情形。因此,常规日粮未显示出一致的缺乏或过量模式,偏差似乎主要与研究、矿物质或产品特异性相关(图2)。

替代日粮的微量矿物质特征高度异质,各研究间平均值范围宽泛,且频繁偏离推荐范围(图2)。然而,这些偏离并未呈现一致的方向性模式。缺乏在多个独立数据集中较为突出,尤其是铜、铁、锰、硒和锌,而其他研究则报告了过量或低于与高于推荐水平的混合情况。正如常量矿物质所观察到的,平均值往往掩盖了单个产品层面的显著离散度[28,57,71,73]。因此,常规日粮与替代日粮之间的差异,更好地体现为各配方间矿物质失衡的异质性和反复出现,而非持续偏高或偏低的平均微量矿物质浓度。变异性评估进一步强调了这些差异。常规日粮和替代日粮中微量矿物质含量的变异系数均变化很大。在个别常规数据集中也观察到非常高的CV,包括[18]中的Mn、[44]中的Zn和[54]中的Se,表明高变异性并非替代喂养策略所独有(表6)。然而,若干替代日粮数据集——尤其是家庭自制和商业自制风格/RMBD配方——在多种微量矿物质上同时表现出高CV,提示这些组内产品间矿物质供给的一致性较差(表6)。热图分析同样显示两个大类日粮中均存在缺乏和过量,但影响多种微量矿物质的缺乏在多项独立替代日粮研究中反复出现(图2)。因此,主要区别并非简单的常规与替代日粮在矿物质浓度方向上的差异,而是某些替代日粮类别中更广泛的多元素失衡的反复出现。

替代日粮亚型之间也呈现出明显的微量矿物质模式差异。商业自制风格/RMBD配方表现出高度异质的特征,多种微量元素(尤其是铜和锌)既有缺乏也有过量的浓度报告,而非一致的方向性模式[28,71]。家庭自制日粮表现出显著变异性,同时频繁出现影响多种微量矿物质的缺乏,尤其是铁、锌、锰和铜[57]。估算摄入量研究也支持这一模式,其中多种矿物质不足在犬和猫的主人自配日粮中较为常见[89,92]。植物基和纯素日粮也表现出相当大的产品间变异性,其充足性很大程度上取决于配方和补充剂,而非在产品间遵循统一模式[33,73]。

3.4. 日粮形态与加工:干性日粮与湿性日粮

在所综述的研究中,常规商业日粮最常被考察的特征之一是物理形态的影响,尤其是干性与湿性配方之间的比较,二者在组成和工艺加工方面存在差异。由于对矿物质浓度差异和产品间变异性的关注,这一比较引起了广泛注意。若干分析研究在同一研究中同时纳入了干性和湿性或罐装食品[19,22,31,36,56,61,63,66,67,68]。研究内比较尤其具有信息价值,因为它们减少(尽管不能消除)了与分析方法、地理来源和研究设计相关的异质性。重要的是,这些研究在矿物质浓度表达方式上存在差异,有的以干物质基础报告,有的以饲喂状态基础报告。在解释研究间的明显差异时必须考虑这一方面,因为水分含量通过稀释效应影响常量矿物质和微量矿物质浓度。

就常量矿物质而言,一些研究内比较显示湿性食品中多种元素浓度较高。Davies等[31]报告,犬和猫湿性食品中钙、磷、钠和钾的干物质浓度均高于干性食品。同样,Sgorlon等[61]发现湿润罐装犬粮中钙、磷、钠和钾显著高于干性膨化犬粮。然而,这一模式并非在所有研究中一致。Paulelli等[56]报告干性食品中钙、磷和镁高于罐装食品,尽管表达基础不明确限制了对该对比的直接解读。此外,在商业猫粮的能量归一化比较中,Summers等[67]发现日粮形态对磷或Ca:P比值无显著影响,而罐装食品中镁含量显著低于干性食品。一项针对老年猫粮的相关研究同样发现磷、钙或Ca:P比值在干性与罐装之间无显著差异,尽管罐装食品中镁较低[66]。因此,日粮形态与常量矿物质组成差异相关,但在不同矿物质或不同研究之间不存在一致的作用方向。

微量元素的浓度也高度依赖于具体元素。Paulelli等[56]报道,犬和猫的罐头食品中铁和硒浓度显著更高,犬罐头食品中铜和锌浓度也更高。相反,Sgorlon等[61]发现干性膨化犬粮中铜和锌浓度显著更高,而铁、锰和硒在不同剂型间无显著差异。在猫中,Summers等[68]采用能量归一化基础,发现干粮和罐头食品间铜无显著差异,而干粮中锌浓度显著更高;铁在两种剂型间无显著差异。碘表现出不同的模式:Alborough等[19]发现湿性猫粮的平均碘浓度更高且范围更宽,而干性猫粮则较低。对于硒,Simcock等[63]发现湿性猫粮的硒浓度既更高又显著更多变,而湿性和干性犬粮的硒浓度相似。作者将湿性猫粮中较高的硒浓度与海鲜类产品占比较高相关联,说明与日粮剂型的表面关联可能部分反映了原料组成。总体而言,现有证据不支持湿粮在微量矿物质方面始终比干粮更丰富或更贫乏的普遍区分;相反,差异的方向和幅度取决于矿物质种类、物种和配方。

除平均浓度差异外,变异性也因矿物质和研究而异,没有一致的模式表明某一饲喂剂型具有更大的离散度(表6)。尽管湿粮在某些数据集中对几种矿物质显示出更高的变异系数,但在其他数据集中则相反。例如,在Sgorlon等[61]中,湿性犬粮对钙、磷、钾、铜、铁、锰和硒显示出更高的变异系数,而干粮对镁、钠、钴和锌的变异性更大,且钙磷比的变异性在剂型间相似。Paulelli等[56]也显示干粮和罐头食品间变异性存在显著差异,但其方向取决于矿物质和物种,而Duran等[36]报道湿粮中铁的变异性显著低于干粮。其他研究同样报道了两种剂型中矿物质浓度的宽范围[36,63]。总体而言,干粮和湿粮中均存在显著的产品间变异性,现有证据不支持将任一剂型解释为系统性地比另一剂型更标准化。现有证据进一步说明了干性和湿性商业日粮中偏离矿物质推荐量的元素特异性特征。在所纳入的研究中,干粮和湿粮显示出与FEDIAF推荐量不同的偏离模式,而非某一剂型相对于另一剂型的统一优势。对于常量矿物质,钙和磷的偏离在两种剂型中均出现,某些湿性日粮组更频繁地出现高于推荐水平的数值,而干粮中也观察到低于范围的值。钙磷比的偏离同样因物种和日粮组而异。在微量矿物质中,硒显示出一些最显著的剂型相关差异,过量值尤其出现在湿性猫粮中,而干粮中也观察到低于推荐浓度的值。在热图中,碘显示出不同的模式,在Alborough等[19]中,干性猫粮更频繁地出现低于最低浓度的值,而湿粮则同时包含低于和高于范围的值。铜、铁和锌也显示出因物种和研究而异的异质性模式。

总体而言,现有数据表明干性和湿性商业日粮在矿物质组成上可能存在显著差异,但仅凭日粮剂型并不能可靠预测矿物质浓度、变异性或营养充足性。观察到的差异可能反映了原料组成、配方和补充实践以及各剂型相关工艺要求的综合影响。由于现有研究未通过实验分离这些因素,膨化与罐装的特定效应无法与经过这些工艺处理的产品间的组成差异相区分。

3.5. 原料组成、配方质量与市场定位

除日粮类别和剂型外,原料组成和市场定位也与矿物质组成的差异相关。若干比较研究涉及了这些因素,但其设计和分类标准异质性较大,某些解释必然基于有限数量的研究,因此结论必须谨慎解读。

Kępińska-Pacelik 等人[48]专门评估了主要动物源性成分对常规干性犬粮矿物质组成的影响,这些犬粮按鱼类、禽类、羊肉、牛肉、混合及其他来源分类。当考虑整体矿物质谱时,未观察到日粮按成分类型出现明显聚类。事实上,主成分分析表明,主要动物来源并不能清晰解释整体矿物质谱,也未显著影响矿物质比例,尽管各成分组之间在个别元素上存在显著差异[48]。热图(图2)中也明显缺乏由成分定义的清晰模式,尽管其中所代表的不同成分类别源自同一项研究,因此不应被视为独立证据。在该数据集中,各成分组的钙浓度经常低于推荐水平,而磷通常充足或偏高,导致Ca:P比例频繁失调。因此,主要动物成分并不能可靠预测整体矿物质充足性。

Brociek 等人[25]发现,植物基和肉基犬粮在大多数元素上的矿物质谱大体相当,尽管植物基产品钾含量较高而碘含量较低。其他数据集也报告了风味或成分相关的影响,但同样因元素而异。Altınok-Yipel 等人[20]发现,标注为鲑鱼、金枪鱼、肝脏或其他水产品的湿性猫粮之间存在差异,但并无一致模式贯穿所有元素,且生命阶段标识的差异使解读复杂化。在 Simcock 等人[63]的研究中,海鲜风味食品的硒浓度最高,而在 Edinboro 等人[37]的研究中,鱼类成分的存在与碘浓度无显著关联,Alborough 等人[19]同样发现鱼风味与碘浓度之间无显著关联。总体而言,这些发现表明成分组成可影响个别矿物质,但宽泛的成分或风味类别不能可靠预测整体矿物质谱或营养充足性。市场价格类别也被探讨为配方策略的潜在替代指标。从消费者角度看,低价产品常被认为质量较差,而高端和超高端日粮通常与更高的营养价值相关联。然而,三项独立研究的证据并不支持价格或商业层级与矿物质充足性之间存在简单关系[43,51,58]。Ivars 等人[43]比较了超高端、高端和白牌犬粮,发现尽管最贵与最便宜产品之间的估计每日饲喂成本相差66.9%,所有产品均满足以能量为基础评估的营养素最低需求。值得注意的是,一款白牌食品的钙和磷浓度最高。Macías-Montes 等人[51]同样未发现高端产品较低成本产品具有一致优势:在犬中,低成本产品的铁和铜较高,而高端产品的锌较高,硒或锰无显著差异;在猫中,仅铁存在显著差异,且低成本产品较高。Pereira 等人[58]采用低(≤€1.20/kg)、中(>€1.20至≤€4.07/kg)、高端(>€4.07至≤€5.30/kg)和超高端(>€5.30/kg)类别,同样观察到矿物质浓度存在差异,但并未随价格升高呈单调改善;低价日粮的平均钙和磷浓度最高,而超高端日粮这两种矿物质的平均值最低。因此,商业定位可能与不同的配方策略相关,但更高价格并不能确保更接近矿物质推荐量。综上所述,这些研究表明价格或商业层级是矿物质组成或营养充足性的不良替代指标,所观察到的差异更可能反映产品特定的配方和补充实践[43,51,58]。

配方实践和补充剂也是最终矿物质谱的重要决定因素。在Kazimierska等[45]的研究中,标示的微量元素添加剂约占分析测定总浓度的3–86%,表明原料的固有矿物质含量和添加的矿物质来源均对最终矿物质谱有实质性贡献。这种区别在家庭自制日粮中尤为明显。Pedrinelli等[57]发现,未补充的犬和猫配方中钙浓度和Ca:P比值较低,未补充的猫日粮中钠和铁也较低;然而,仅存在补充剂并不能确保营养充足性,增加配料数量同样不能保证配方均衡。估计摄入量的证据支持同样的解释:由兽医编写的猫配方以及包含维生素-矿物质补充剂的配方中,低于NRC推荐供给量的营养素数量少于非兽医来源的配方或无补充剂的配方;尽管如此,所评估的配方中没有一个能满足所有推荐供给量[92]。总之,这些发现表明配方质量不仅取决于特定配料或补充剂的存在,还取决于它们在完整日粮中的定量整合。

然而,仅基于总浓度对表观矿物质过量供给的解读还应考虑生物可及性和生物利用度。矿物质从食物基质中释放并随后被吸收的比例可能因其化学形式、配料基质、与其他日粮成分的相互作用以及补充来源而异[93,94,95]。因此,超过推荐水平的浓度并不一定转化为生物可利用矿物质的成比例增加[93,94]。这种区别已在宠物食品中直接证实:模拟胃液提取释放的几种矿物质比例显著低于总酸消化[93],而硒的可及性因日粮组成和加工方式而异[94]。体内证据进一步表明,矿物质利用率不能总是仅从日粮摄入量预测,如罐装与干粮日粮中硒的比较[96]以及犬中有机与无机锌源的比较[95]所示。这并不排除长期过量供给的潜在相关性,特别是对于已确定最大限量或具有组织蓄积倾向的元素,但凸显了仅从总矿物质浓度评估营养充足性的局限性。本综述纳入的大多数研究量化的是总矿物质浓度而非直接评估生物可及性或吸收;因此,总浓度的差异在多大程度上转化为生物可利用矿物质的差异通常无法确定。

总之,这些研究强调配料选择、配方控制和市场定位均导致矿物质组成的变异性,但 none 能作为整体矿物质充足性的可靠独立替代指标。配料相关效应主要具有元素特异性,而非反映任何特定配料类别的持续优势。同样,高端定位或较高价格并不持续对应于更有利的矿物质谱。因此,一致的矿物质供应似乎取决于原料选择、定量配方、适当补充以及整个生产过程质量保证的综合效应。

3.6. 生理背景与饲喂水平

生理状态和饲喂水平是伴侣动物日粮中矿物质充足性的关键但常被低估的决定因素。矿物质需要量在不同生命阶段和生理状态之间差异很大,包括生长、妊娠、哺乳和成年维持。在能量限制或疾病条件下,这些需要量还可能进一步改变。因此,旨在支持特定生理功能或临床结局的日粮策略可改变矿物质摄入量和长期暴露。尽管可能影响矿物质需要量的生理背景范围广泛,但伴侣动物中可用的分析证据仍然有限,研究主要集中在生长、衰老、能量限制饲喂和特定病理状况。

专门针对不同生理生命阶段矿物质充足性的分析证据相对有限,但不仅限于生长阶段。Alvarado等[21]评估了26种为生长犬配制的商业干粮,发现96.2%符合钙、磷和镁的推荐浓度,而钠和锌的充足率较低(80.8%),钾尤其低(34.6%)。总体而言,仅23%的日粮满足所有评估的AAFCO营养素规格。精确配方很重要,因为生长期间的骨骼发育对Ca:P比值高度敏感。Mielczarek和Szydłowski[52]的额外证据显示幼犬和成犬食品之间铜、铁和锌的平均浓度不同,进一步说明针对不同生命阶段营销的产品在矿物质谱上可能存在差异。

生命阶段分类本身也会影响对充足性的判读。在Ryu等[60]基于FEDIAF对昆虫基产品的评估中,为成年维持期配制的食品显示大矿物质偏差相对较少,而标示为全生命阶段的产品在依据要求更高的生长/繁殖档案进行评估时显示出明显更多的偏差,尤其是钙、磷和钙磷比。这说明应用与预期生命阶段相对应的参考档案的重要性,而不是仅依据成年维持期标准来判读产品。

也有针对面向老年动物营销的日粮的证据。Summers等[66]发现,面向老年猫和成年猫营销的食品在磷、钙、镁、钠或钾浓度方面无显著差异;所有老年食品均符合AAFCO对所评估矿物质的成年维持期最低值。然而,类别内仍存在显著变异。同样,37种商业老年犬粮的制造商报告数据显示钠范围宽泛,磷浓度范围约为三倍[82]。因此,“老年”标示似乎并不对应于标准化的矿物质谱。肥胖和减重的饮食管理可能引入矿物质不足的独特风险,特别是因为即使日粮组成看似充足,降低饲喂量也可能减少绝对矿物质摄入量。评估商业犬减重日粮的研究表明,当饲料配额受到限制以实现热量缺口时,所选矿物质的绝对摄入量可能低于推荐水平[50,54]。这一区别在Luís等[50]中尤为明显,其日粮在基于组成的评估中总体充足,而在能量限制期间估算的摄入量则发现尤其镁和钾的不足。Olivindo等[54]同样发现,在几种模拟限制情景下,八种兽医减重日粮中有七种至少有一种营养素低于NRC和FEDIAF推荐量,受影响的矿物质包括钙、镁、钾、硒和钠。

重要的是,这一明显差异凸显了基于浓度的营养评估的基本局限性。基于热图分析的评估捕捉的是日粮配方和相对矿物质密度,而基于摄入量的研究则考虑了实际饲喂水平和生理背景。若干基于摄入量的研究支持同样的模式[79,80,84,86]。在Linder等[86]的理论分析中,五种日粮按每1000 kcal表示时均无不足,然而当能量摄入降至79 kcal/kg BW^0.75/天时,每种日粮至少有一种必需营养素低于NRC推荐供给量,其中硒是最常受影响的营养素之一。German等[79]同样发现,在犬长期减重期间,硒、镁和钾摄入量可能低于NRC推荐供给量,尽管——除少数例外——必需营养素仍高于最低需要量,且未观察到矿物质缺乏的临床症状。在更温和的限制下,Keller等[84]仅在少数犬和猫中鉴定出硒和钾摄入量低于NRC推荐量。猫在推荐摄入量与明显缺乏之间也表现出类似的区别。在German等[80]中,相当比例的猫硒摄入量低于NRC推荐量,72%低于FEDIAF推荐量,而钾仅在很小比例中低于推荐量。综上所述,这些研究支持将此类发现描述为潜在的摄入不足,而非已确立的矿物质缺乏。摄入不足的可能性取决于能量限制程度、日粮的营养素密度、物种以及限制饲喂维持的持续时间。类似担忧是否适用于长期低能量供给下的长期维持,仍研究不足。伴侣动物日粮中矿物质充足性强烈的背景依赖性还通过病理状况和治疗性饲喂得到进一步说明。在这些情况下,日粮被有意配制以根据特定临床目标调整矿物质供给,因此有意不同于标准维持推荐量。分析性研究已评估了犬和猫的肾脏、肝脏、胃肠、低敏、泌尿、肥胖管理及肠内日粮[23,25,40,55,59],尽管研究设计和临床适应证差异相当大。

为肾脏支持而配制的日粮提供了有目的性改变矿物质组成的最清晰示例之一。Brociek等[25]发现,肾脏支持型犬粮中钙、磷、镁、铁和硒的浓度低于其他日粮组;重要的是,作者将钙和磷排除在总体合规性评估之外,因为其降低是有意为之的。Gagné等[40]同样发现治疗性肾脏日粮中Ca:P比值高于维持推荐值,而Or等[55]报告处方犬粮各组中钙和磷浓度显著低于非处方对照。在猫中,Bilgiç等[23]也发现肾脏日粮中磷显著低于非处方食品,其中20%的肾脏产品低于用于比较的FEDIAF通用最低值。作者明确指出,肾脏配方中低磷是预期之中的。

因此,图2中处方日粮所显示的偏差应被解释为对通用营养参考范围的偏离,而不应自动视为不适当治疗性配方的证据。当以通用营养指南衡量时,此类日粮可能显得不平衡;然而,某些偏差可能反映与疾病特异性营养目标相一致的有意配方策略,不应自动被解释为配方错误。这凸显了在根本不同的喂养情境中应用统一充足性标准的局限性,并强调需要针对特定病症的参考框架。

重要的是,慢性肾病并非仅通过商业处方日粮进行管理。自制日粮也用于患有慢性肾病的犬和猫,包括用于个体化营养管理[85]。然而,Larsen等[85]发现,所评估的67份配方中无一满足所有NRC推荐供给量。硒、锌和钙是最常低于推荐量的矿物质之一,且配方之间差异显著。尽管这些发现源自估算的营养摄入量而非直接化学分析,但它们为现实世界中的喂养实践提供了宝贵见解,并强调了对治疗性自制日粮的使用进行仔细配方设计和专业监测的必要性。

除肾脏疾病外,其他病理状况进一步凸显了长期矿物质暴露的临床相关性。限铜提供了有意治疗性调整的清晰示例。Gagné等[40]发现,两种为肝病犬配制的日粮中铜浓度低于维持推荐量,这与其用于铜蓄积性疾病的预期用途一致。同样,Poblanno Silva等[90]描述了一种为疑似铜相关性肝病犬成功配制的、铜含量适度降低的完整自制日粮,同时也说明在未进行适当整体配方设计的情况下减少一种矿物质可能导致其他营养素缺乏。

特定病症的差异不仅限于肾脏和肝脏日粮。Or等[55]在肝脏、肾脏、胃肠道和低敏犬粮中识别出不同的矿物质特征,差异涉及铜、铁、锰、钙和磷。在猫中,Bilgiç等[23]同样发现胃肠道、肾脏、泌尿和肥胖管理日粮之间存在不同模式,包括钙、磷、锌和硒在组间的显著差异。这些发现表明,处方日粮不能被视为营养上同质的类别,对通用维持推荐量的偏离必须结合其临床适应症来解释。

现有证据表明,评估治疗性日粮中矿物质的充足性需要一个明确考虑临床适应症、预期使用时长和喂养水平的框架。在疾病特异性背景之外评估处方或治疗性日粮可能导致关于营养充足性的误导性结论,而长期或不适当应用——无论是商业配方还是自制配方——可能增加继发性矿物质失衡的风险。McMillan等[87]说明了在预期生理背景之外使用治疗性日粮的潜在后果,其中给生长中的幼犬饲喂肾脏日粮与磷供给不足、Ca:P比值升高、骨矿化降低和临床佝偻病相关。这强调需要采用综合评估方法,在评估犬和猫的矿物质平衡及长期暴露时考虑生理状态、健康状况和现实世界喂养实践。

3.7. 潜在毒性元素

与涉及必需矿物质的广泛文献相比,关于宠物食品中潜在有毒元素的证据在设计 and 解释方面仍然相对有限且异质性较大。27项分析研究提供了关于潜在有毒元素的相关信息,其中23项可在半定量热图(图3)中呈现。这些研究覆盖了广泛的地理范围,并且在样本量、食品类型、分析范围以及重要的——用于解释所测浓度的毒理学或监管框架方面差异显著。各研究采用的参考框架并不统一。根据调查的不同,浓度分别对照欧洲饲料法规、国家宠物食品标准、FDA或NRC衍生的最大耐受水平、人源毒理学参考值或研究特定的暴露指标(如目标危害商或急性危害指数)进行评估。特别是对于铬和镍,若干研究测量了浓度,但没有直接适用于全价宠物食品的监管最大值。因此,图3中呈现的分类应相对于每项单独研究中应用的参考框架来解读,而非作为所有研究中监管不合规的统一衡量标准。在所调查的元素中,分析覆盖不均衡,镉、铬、铅和汞在相对较多的研究中有所涉及,而砷、镍或单个元素组合的评估则不太一致。由于各研究之间的分析细节差异很大,所评估元素的发生情况和毒理学相关性采用半定量热图(图3)进行评估。该方法识别了所报告的超标或毒理学关注情况,并在可获得时,识别了超过适用研究特定参考阈值的 product 比例,从而提供了现有文献中所报告超标模式的概览。

[图:热图总结了共...中潜在有毒元素(As、Cd、Cr、Ni、Hg和Pb)的现有定量证据]

论文配图

总体而言,现有证据表明,商业宠物食品中潜在有毒元素的浓度通常低于各单独研究应用的毒理学或监管参考值,但这种模式并非普遍适用。大多数具有可解释基准的研究-元素组合显示无超标或受影响产品比例相对较低,而少数研究解释了图3中较为明显的信号。汞和铅产生了一些最强的研究特定关注。例如,Kalicharan等[44]报告所应用的最大耐受水平在38.7%的食品中 for 汞超标、12.9% for 铅超标,而Silva等[62]发现十种湿性猫食品中有一种超过欧洲汞限量。Luippold等[49]报告13.9%的食品超过了该研究中使用的比较性100 ng/g汞参考基准,尽管这并非宠物食品监管限量。

最极端的模式由Zafalon等[74]报告,其中所有100种商业食品均超过了用于汞的FDA衍生最大耐受水平,67%超过了用于铅的参考值。然而,这一结果不应外推至整个商业宠物食品,因为类似的高超标率并未在其他数据集中一致重现,且各研究之间的毒理学基准不同。Zafalon等报告的平均Hg浓度远高于他们所应用的MTL,并发现单个有毒元素之间的模式存在显著差异。相反,若干调查报告所评估元素无相关基准超标或毒理学关注,包括来自土耳其、波兰、哥斯达黎加、葡萄牙和美国的研究[20,45,53,58,64]。因此,图3表明研究间存在显著异质性,而非统一的污染问题。

铬和镍也需要谨慎解读。两者在若干研究中均未检出或低于关注水平[45,46,48,58],但这种模式并非普遍适用。Du等[34]报告93种产品中有25种(26.9%)的铬浓度超过中国宠物食品标准,而Kalicharan等[44]报告31种产品中有2种的镍超过研究特定最大耐受水平。

潜在有毒元素浓度升高与特定动物源性原料添加之间的关联是多项研究中反复出现的观察结果。含有鱼类或鱼类衍生原料的日粮更频繁地与砷和汞浓度升高相关,在某些数据集中还与镉相关,特别是在Kim等[47]的研究中,基于鱼类的犬粮中As、Cd和Hg浓度显著高于基于禽肉或红肉的食品。Luippold等[49]还发现所有超过100 ng/g Hg的食品均含有鱼类作为主要原料,最高浓度主要出现在湿性猫食品中。Macías-Montes等[51]虽然由于其风险评估基于群体水平暴露指标而未在图3中定量呈现,但同样发现基于鱼类的食品中砷和汞浓度显著更高。

然而,鱼类成分并非汞暴露的普遍预测因素。Sires等[64]仅在24种犬粮中的3种检测到总汞,其中2种未标注含鱼类成分,并得出结论认为常见的汞来源不能可靠地归因于海产品。类似地,Dunham-Cheatham等[35]在同时考虑标签信息和DNA宏条形码时,未发现任何单一成分能一致解释汞浓度,尽管在一些汞浓度意外偏高的产品中鉴定出了鱼类DNA。因此,成分来源似乎与污染物暴露相关,尤其是砷和汞,但仅凭标注的风味或蛋白质来源不足以预测某一特定食品的毒性元素特征。

其他原料也可能有所贡献。Zafalon等[74]将原料与全价食品分开分析,发现动物副产品中潜在毒性元素的浓度通常高于植物性蛋白质原料,同时在碳水化合物和脂肪来源之间也观察到显著差异。这些发现支持原料选择和生产来源的重要作用,而非简单地区分动物性与植物性原料。

在整个证据基础中,食品形态未显现出一致的定向效应。一些以汞为重点的研究发现,若干最高浓度或超过基准值的浓度出现在猫粮中,尤其是湿性猫粮[35,49],而其他大型研究报告了若干元素的相反模式。Du等[34]发现干性食品中Pb、Cd、Cr和As的平均浓度高于罐装食品,其中Pb和Cr的超标仅限于干性产品,而Zafalon等[74]报告干性食品中大多数潜在毒性元素的浓度更高。Haydous等[42]同样发现干性食品中若干元素(包括Pb)的浓度更高,尽管湿性食品中Cd更高。这些相互矛盾的发现表明,食品形态本身不太可能是污染物浓度的充分解释。原料、地理来源、补充剂、加工工艺及其他配方特征的差异均可能有所贡献,而这些效应通常无法用现有的观察性数据加以区分。

因此,当前证据不支持将潜在毒性元素的基准超标或毒理学相关浓度描述为商业宠物食品的普遍特征或仅限于某一特定食品形态的问题。相反,大多数数据集显示关注度较低或有限,同时有较少数的研究或产品存在明显的基准超标。分析方法和毒理学参考值的异质性也意味着研究之间表面上的巨大差异应谨慎解读。因此,持续监测仍然必要,尤其是对汞、铅、砷和铬的监测,并将受益于宠物专用毒理学参考值和报告方法的进一步统一。

总元素浓度的毒理学相关性还可能取决于化学形态和物种特异性的矿物质处理。Alborough等[97]报告家猫的肾脏和尿液砷浓度高于犬和野猫;然而,肾脏砷浓度与慢性间质性肾炎无关。值得注意的是,砷甜菜碱——一种毒性相对较低的有机砷形态——是所评估宠物食品中鉴定出的主要砷形态。类似问题也适用于汞的形态。Dunham-Cheatham等[35]发现,尽管三种商业食品超过了用于总汞的比较参考值,但估计的甲基汞暴露仍低于作者所采用的NRC慢性暴露水平。Sires等[64]同样仅在24种犬粮中的1种发现甲基汞,并估计所测浓度不太可能对健康成年犬构成慢性毒理学风险。因此,总浓度提供了重要的筛查指标,但在缺乏化学形态、摄入量和物种特异性处理信息的情况下,不一定能界定暴露的生物学或毒理学意义。这些发现进一步说明了仅从总元素浓度解读潜在毒理学风险的局限性。

3.8. 局限性与未来方向

本综述也存在若干应予说明的局限性。现有证据在研究设计、日粮类别、所评估矿物质、表达单位、分析方法和报告方式方面高度异质,限制了研究间的直接定量比较,也无法进行正式的荟萃分析综合。此外,许多研究仅报告汇总统计量而非单个日粮的数值,这限制了比较分析的某些方面,也限制了纳入需要日粮水平数据的综合组分(如矿物质充足性热图评估)。因此,热图应被解释为描述性视觉综合,而非矿物质不足或有毒元素基准超标的合并患病率估计。在图2中,每一行代表一项研究或研究中的一个亚组;因此,若干视觉上突出的行可能来自同一数据集,不应被解释为某一发现的独立重复。各行之间样本量的差异也未用于对其视觉贡献进行加权。同样,表6中的CV分析仅限于报告均值与标准差或可直接推导出这些统计量的研究,因此不能对整个证据基础中产品间变异性提供完整评估。

除这些综述层面的局限性外,现有证据中也发现了重要的局限性。尽管涉及伴侣动物日粮矿物质组成的研究数量不断增加,重要局限性仍持续制约着现有证据的解释与推广。分析数据在物种、日粮类型和生理背景之间的分布仍不均衡。虽然犬和猫的商业维持日粮代表性相对较好,但替代喂养方式、治疗性配方以及特定生命阶段(尤其是妊娠、哺乳和衰老)的分析信息仍然有限。这种不均衡限制了稳健的跨日粮比较,也妨碍了在标准化程度较低的喂养场景中评估长期矿物质充足性。

研究间方法学的高度异质性对综合现有证据构成重大挑战。尽管各研究的数值单位已统一,但在无法在不增加额外假设的情况下进行精确换算时,表达基础(干物质、饲喂状态或能量归一化)的差异仍然存在,限制了所有研究间的直接定量比较。此外,所分析样品的代表性在各研究间差异很大,包括所评估包装数量的差异、纳入单一批次还是多批次生产,以及所提供的样品制备和匀质化细节水平的差异。这些因素共同可能造成了文献中所观察到的部分变异性,并影响对报告矿物质浓度的信心。此外,矿物质浓度报告时常常未充分考虑饲喂水平或日粮用途,增加了在预期生理或临床背景之外评估日粮时误读的风险。

此外,日粮组成很少与实际矿物质摄入量一并考虑,尤其是在标准维持条件以外的情境中。大多数分析研究独立于实际食物摄入量来评估矿物质组成。相比之下,基于摄入量的研究表明,减少食物配给量(如减重计划期间)可导致绝对矿物质摄入量低于推荐供给量,即使食物本身的组成看起来充足。治疗性日粮带来不同的解释挑战,因为其矿物质谱可能为特定临床目的而被有意修改,因而可能偏离一般维持推荐量,但并不代表配方不当。基于摄入量的证据仍不如组成分析常见,而将改变的饲喂水平或治疗性配方与矿物质状态及临床结局联系起来的长期研究尤其有限。这凸显了需要综合考虑配方策略、饲喂水平和长期暴露的整合性方法。

潜在有毒元素则构成另一类局限性。尽管已有大量分析研究测定了砷、镉、铬、镍、汞、铅及相关元素,但由于各研究所采用的监管限值、最大耐受水平、毒理学参考值和基于暴露的风险指标存在显著差异,相关证据仍难以整合(图3)。尤其对于铬和镍,若干所采用的框架中并不存在可直接适用的宠物食品监管限值。此外,检出某种元素、超过某项研究特定基准以及证实存在实际毒理学风险,并非等同的结果。因此,现有证据尚不足以对市售宠物食品的慢性暴露风险进行统一的定量评估。通过伴侣动物对照剂量-反应研究建立物种特异性毒理学阈值,可能在伦理和实践上受到限制。因此,未来证据可能需要更多地依赖观察性研究、生物监测、临床数据、毒代动力学信息、化学形态分析以及从其他物种谨慎外推。

除总矿物质浓度外,当前证据在很大程度上忽视了矿物质的生物可及性和生物利用度。表观相似的总浓度并不一定意味着同等的矿物质利用率,超过推荐水平的浓度也不一定产生成比例的生物可利用矿物质增加。反之,这种不确定性不应被解释为慢性过量供应无害的证据,尤其是对于已确立最大限量的矿物质。总体而言,当仅根据总矿物质浓度推断营养充足性时,关于矿物质形态、生物可及性和生物利用度的有限信息仍是不确定性的重要来源。

最后,应更多关注锌和硒等微量元素,其在免疫调节、氧化平衡和细胞稳态中的作用已得到充分确立。虽然商业日粮通常按当前营养推荐量配制,但关于微量元素的持续波动或边缘性不足水平是否可能影响以低度炎症为特征的慢性疾病的进展或管理,相关信息有限。解决这一问题需要采用整合方法,结合膳食评估、矿物质状态生物标志物和临床相关结局,而非孤立评估日粮浓度。

未来研究将受益于一个更整体的框架,整合分析组成、饲喂水平、生理状态、生物利用度和长期暴露。分析方法、验证程序、采样策略和报告标准的统一,以及对代表性不足的日粮、生命阶段和健康状况的更多关注,对于推进对伴侣动物营养中矿物质充足性和安全性的理解至关重要。

4. 结论

本系统综述的结果强调,犬和猫日粮的矿物质组成和充足性随日粮类型、配制策略、加工形式和饲喂背景而变化,而加工形式的影响似乎更具元素和研究特异性。常规日粮与替代日粮之间的平均矿物质浓度差异未呈现一致的方向性模式,且两类日粮中均观察到显著变异。然而,在多个独立的替代日粮数据集中记录了反复出现的多元素失衡,尤其是在家庭自制日粮以及部分RMBD和植物基配方中,而在多个家庭自制和RMBD数据集中观察到钙、磷及钙磷比的特别高变异性。在常规商业日粮中也观察到矿物质偏差,但往往更具研究、产品或元素特异性。市场定位或价格未能一致预测矿物质平衡的改善。原料组成影响特定矿物质,但广泛的原料或风味类别同样不能可靠预测整体矿物质充足性。

潜在有毒元素呈现出类似的异质性分布模式。大多数具有可解释基准的研究-元素组合表明毒理学关注有限或无关注,而少数数据集显示显著超标,尤其是汞和铅。原料组成,特别是某些元素使用鱼类来源原料,在多项研究中与污染物浓度相关,但原料类别和干湿形态均不能一致预测有毒元素暴露。重要的是,这些发现表明不能仅凭组成数据可靠评估矿物质充足性。基于摄入量的证据显示,饲喂水平和生理或临床背景可显著改变营养充足性。减重方案中的能量限制可能降低绝对矿物质摄入量,尽管营养素浓度看似充足,而治疗性日粮可能有意偏离一般维持推荐以实现疾病特异性营养目标。总之,这些证据支持需要综合考虑日粮浓度和实际饲喂方案的综合评估框架。对现有文献的解读还应考虑研究间的方法学异质性,特别是分析验证和样本代表性、表达基准以及个体日粮水平数据的可获得性。

未来研究应优先统一分析方法、改进报告标准并扩大对代表性不足的日粮、生命阶段和病理状况的覆盖范围,以支持循证营养指导并改善伴侣动物的长期健康结局。

致谢

Belén Larrán获得了西班牙教育、文化和体育部的FPU奖学金(编号FPU21/01742)。Belén Larrán、Marta López-Alonso、Inmaculada Orjales和Marta Miranda隶属于由GAIN(Axencia Galega de Innovación;资助编号ED431B 2023/008)资助的Grupo de Potencial Crecimiento。在稿件准备期间,作者使用ChatGPT(GPT-6,OpenAI)改善可读性和语法。作者已审阅并编辑输出内容,并对本出版物的内容承担全部责任。所有科学概念、分析、结论和解释均由作者完成。

缩写

本稿件中使用以下缩写:

AAFCOAssociation of American Feed Control Officials
Ca:PCalcium-to-phosphorus ratio
FEDIAFEuropean Pet Food Industry Federation
RMBDsRaw meat-based diets
SDStandard deviation

补充材料

以下支持信息可从https://www.mdpi.com/article/10.3390/ani16203261/s1下载,补充文件S1:数据库检索策略;表S1:评估犬猫日粮矿物质摄入或充足性的基于分析的研究概览;表S2:评估犬猫日粮摄入或充足性的基于估计的研究概览;表S3:根据FEDIAF和AAFCO指南的犬常量元素和微量元素推荐最低和最高水平;表S4:根据FEDIAF和AAFCO指南的猫常量元素和微量元素推荐最低和最高水平;表S5:报告全价犬猫日粮矿物质浓度的研究方法学和分析质量评估。

[内容请查看原文]

作者贡献

概念化,M.L.-A.、B.L.和M.M.;方法学,M.L.-A.和B.L.;调查研究,M.L.-A.、N.F.、B.L.、I.O.和M.M.;数据管理,M.L.-A.、B.L.和N.F.;写作——初稿准备,M.L.-A.、B.L.和N.F.;写作——审阅和编辑,I.O.和M.M.;监督,M.L.-A.和M.M.所有作者已阅读并同意稿件的出版版本。

机构审查委员会声明

不适用。

知情同意声明

不适用。

数据可用性声明

支持综述发现的数据可应通讯作者要求提供。

利益冲突

作者声明无利益冲突。

资助声明

本研究在圣地亚哥-德孔波斯特拉大学(USC)的IMedA研究组内开展,该研究组隶属于由GAIN(Axencia Galega de Innovación;资助编号ED431B 2023/008)资助的“Grupo de Potencial Crecimiento”。

脚注

[内容请查看原文]

参考文献

[内容请查看原文]

关联数据

补充材料

[内容请查看原文]

数据可用性声明

支持综述发现的数据可应通讯作者要求提供。

查看英文原文▾

Simple Summary

Minerals are essential for the healthy development and functioning of dogs and cats, but both insufficient and excessive amounts may cause health problems. Pet feeding practices are becoming increasingly diverse and now include raw-meat-based, home-prepared, and plant-based diets, as well as conventional commercial foods. We reviewed 76 studies that examined the mineral content or estimated the amounts of minerals such diets provide. Mineral composition varied greatly among products and type of diet. Raw-meat-based, home-prepared, and plant-based diets frequently showed substantial variability in mineral composition, although considerable variability was also observed in some conventional commercial foods. However, potentially inadequate or excessive mineral levels were reported in all dietary categories examined, with recurrent multielement imbalances in several alternative-diet datasets. Price or premium positioning did not reliably indicate better mineral balance. Studies of potentially harmful elements also showed considerable variability and used different safety thresholds. Evidence remained limited regarding how much of the minerals present in diets are absorbed and used by animals and the effects of long-term exposure. Better monitoring of pet foods and more consistent research methods are needed to support well-informed feeding decisions.

Keywords: pet food, animal nutrition, trace elements, microminerals, macrominerals

1. Introduction

Adequate nutrition is a cornerstone of health, welfare, and longevity in companion animals [1]. In dogs and cats, minerals play essential roles in a wide range of physiological processes, including skeletal development, neuromuscular function, energy metabolism, endocrine regulation, and immune competence [2,3]. Macrominerals such as calcium, phosphorus, sodium, and potassium are fundamental for structural integrity, skeletal development, and electrolyte balance. Essential trace elements (microminerals), such as zinc, copper, iron, selenium, and iodine, are critical for maintaining metabolic homeostasis, even though they are only required in small amounts [4]. Conversely, chronic excessive intake of certain essential minerals, in addition to exposure to non-essential or potentially toxic elements, may contribute to tissue accumulation and adverse health effects [5]. Importantly, mineral imbalances may remain subclinical for prolonged periods, and their detection and prevention may thus be especially challenging in long-lived companion animals. These considerations are particularly relevant in companion animals, which are often fed the same commercial diet for prolonged periods due to strong caregiver loyalty to specific brands [6], making long-term nutritional balance a critical determinant of health and wellbeing [7].

In recent decades, feeding practices for dogs and cats have undergone substantial changes, accompanied by a marked diversification of available diets [8]. In addition to conventional dry extruded foods, a wide variety of moist canned diets, raw-meat-based diets (RMBDs), home-prepared diets, and veterinary therapeutic diets designed for specific physiological or pathological conditions are used. These diets vary in dietary category and also in format (dry versus moist), ingredient composition, degree of processing, use of animal by-products or offal, and reliance on mineral premixes. At the same time, consumer-driven trends such as grain-free formulations (i.e., diets formulated without cereal grains), high-meat products, minimally processed diets, and plant-based formulations have further increased the heterogeneity of feeding patterns [7,9,10]. This growing complexity raises important questions regarding the consistency of mineral supply across diet types and the potential for long-term imbalances or exposure associated with specific formulation strategies.

The nutritional adequacy of pet foods is generally assessed relative to established guidelines such as those proposed by the National Research Council [4], the Association of American Feed Control Officials (AAFCO) [11], and the European Pet Food Industry Federation (FEDIAF) [12]. These frameworks provide essential reference values for dietary formulation, typically expressed on a feed-weight basis and/or relative to metabolizable energy. However, compliance with recommended concentrations does not necessarily ensure adequate or safe mineral intake under real-life feeding conditions [4,13]. Factors such as energy density, feeding rate, caloric restriction, bioavailability, ingredient matrix, and processing technology can greatly modify mineral intake and utilization [14]. In particular, energy restriction, common in weight-loss programmes, may lead to insufficient mineral intake even when diets comply with concentration-based recommendations [15]. Conversely, certain feeding patterns, particularly those associated with specific ingredient choices, processing practices or energy density, may increase chronic exposure to specific minerals or undesirable elements, despite apparent compliance with regulatory limits [2].

A growing body of literature has evaluated mineral composition and, less frequently, mineral adequacy or exposure to non-essential elements in commercial diets, RMBDs, and home-prepared diets for dogs and cats. However, the evidence remains fragmented and highly heterogeneous. Many studies focus on a single dietary category or a limited number of minerals, and study designs vary widely regarding whether they report analytical concentrations in finished diets, estimate intake under specific feeding regimens, or summarise compliance relative to guideline thresholds. Studies integrating the multiple dietary and feeding-related factors that may influence mineral composition and adequacy are relatively scarce. Those examining essential and non-essential elements within a unified analytical framework are even rarer. As a result, the factors driving mineral variability, inadequacy risk, and chronic exposure across dog and cat diets have not yet been systematically characterised.

The aim of the present systematic review was to synthesise the available evidence on mineral composition and adequacy of complete diets for dogs and cats, with particular emphasis on dietary and feeding-related factors potentially influencing mineral balance. Data on essential minerals were considered, along with (when available) data on non-essential or potentially toxic elements. By adopting an integrative approach anchored to widely used nutritional guidelines (AAFCO and FEDIAF), this review seeks to identify consistent patterns and highlight factors associated with mineral imbalance or altered mineral intake. It also seeks to provide a structured framework to support clinical, nutritional, and regulatory decision-making in companion animal nutrition.

2. Materials and Methods

2.1. Study Design

This study was conducted as a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [16]. A review protocol was developed a priori in order to identify, select, and synthesise studies reporting data on mineral composition, adequacy or exposure in dog and cat diets, but was not formally registered.

A systematic literature search was performed in major scientific databases (Scopus, PubMed, Web of Science and AGRIS) to identify relevant articles published between 1 January 2005 and 4 October 2025. Two complementary search components were used to maximise retrieval of both studies reporting mineral concentrations in diets and studies addressing mineral intake or nutritional adequacy. The search strategy combined terms related to species, diet, and mineral composition or mineral adequacy.

The species-related terms included “dog”, “dogs”, “canine”, “cat”, “cats”, and “feline”. Diet-related terms included “pet food”, “dog food”, “dogfood”, “cat food”, “diet”, “food”, “feeding”, “ration”, and “recipe”, together with combinations of terms describing dietary formats or categories (“commercial”, “complete”, “dry”, “wet”, “canned”, “raw”, “BARF”, “homemade”, “home-prepared”, “vegan”, “vegetarian”, “therapeutic”, and “prescription”) with “diet” or “food”. Terms related to weight-management feeding were also included (“weight loss”, “weight reduction”, “weight management”, “energy restriction”, and “caloric restriction”) to retrieve studies evaluating mineral supply under restricted energy intake. Mineral-related terms included general descriptors (“mineral”, “trace element”, “micromineral”, “macromineral”, “heavy metal”, “potentially toxic element”, “chemical composition”, and “elemental composition”) and individual elements (“calcium”, “phosphorus”, “magnesium”, “sodium”, “potassium”, “chloride”, “chlorine”, “iron”, “zinc”, “copper”, “iodine”, “selenium”, “manganese”, “cobalt”, “molybdenum”, “arsenic”, “cadmium”, “lead”, “mercury”, “chromium”, and “nickel”). These were combined, as appropriate, with terms describing the study outcomes, including “content”, “concentration”, “composition”, “level”, “analysis”, “adequacy”, “intake”, “requirement”, “deficiency”, and “deficiencies”. The syntax was adapted to the indexing and search-field requirements of each database. The complete database-specific search strategies used for PubMed, Scopus, Web of Science, and AGRIS are provided in the Supplementary File S1. In addition, the reference lists of selected articles and relevant reviews were screened to identify additional eligible studies.

2.2. Eligibility Criteria

Studies were considered eligible for inclusion if they (i) evaluated complete diets or complete feeding regimens intended for dogs and/or cats, including commercial diets, RMBDs, home-prepared diets or veterinary therapeutic diets; (ii) reported information on mineral composition, dietary mineral intake or dietary exposure as a substantive study objective; (iii) provided sufficient information to characterise the complete diet or feeding regimen evaluated; (iv) were available as full-length articles in peer-reviewed journals containing original data and sufficient methodological detail for assessment; and (v) were written in English or Spanish.

Studies were excluded if they (i) did not report any data related to mineral content, intake or adequacy; (ii) reported mineral concentrations only as background characterisation of diets used to investigate outcomes unrelated to mineral nutrition; (iii) were experimental mineral intervention or dose–response studies primarily designed to investigate mineral metabolism, bioavailability, or physiological responses to specific mineral sources or doses, rather than the composition, adequacy, intake, or dietary exposure associated with a complete feeding regimen; (iv) focused primarily on the development or validation of an analytical method using pet foods only as test matrices, without an independent objective of characterising mineral composition or adequacy of the diets; (v) reported mineral data only for individual ingredients without reconstruction or evaluation of complete diets; or (vi) were conference abstracts, editorials, commentaries, academic theses/dissertations, or reviews without original data.

Titles, abstracts, and full-text articles were screened independently by two reviewers (N.F. and B.L.). Eligibility decisions were compared after each screening stage, and any uncertainties regarding eligibility were resolved through discussion and consensus.

2.3. Classification of Studies According to Data Type

To ensure methodological consistency and to support a robust review, the studies were classified according to the nature of the mineral data reported:

  • Analytical mineral composition studies: Studies reporting mineral concentrations measured directly in complete diets using laboratory analytical methods. Mineral concentrations were expressed on a feed-weight basis (e.g., g or mg per 100 g of product) and/or relative to metabolizable energy (per 1000 kcal).

  • Estimated intake or adequacy studies: Studies in which mineral content or intake was estimated using ingredient composition tables, product labels, dietary reconstruction from owner questionnaires or nutritional software, without direct chemical analysis of the finished diet.

  • Only studies reporting analytically measured mineral concentrations in complete diets were included in the quantitative review, tabulation of mineral values and graphical representation. Studies based on estimated data were retained exclusively for qualitative review and discussion, where they contributed to the interpretation of potential risks of mineral imbalance associated with specific feeding practices.

    A comprehensive summary of all studies reviewed, including the study design, species, dietary characteristics, and type of mineral data reported, is provided in Supplementary Table S1 [17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74] and Table S2 [75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92].

    2.4. Data Extraction

    The following information was extracted (when available) from each analytical study: target species (dog or cat), type of diet evaluated (conventional commercial, alternative or therapeutic), dietary format (dry or moist), life stage or physiological context, minerals analysed, original units and basis of expression, and reported mineral values (mean ± standard deviation [SD], median, range or individual diet values). To facilitate comparison across studies, numerical units were harmonised. For studies reporting mineral concentrations on a dry-matter basis, macrominerals were expressed as g/100 g DM, trace elements as mg/100 g DM, and selenium as µg/100 g DM. Studies reporting concentrations relative to energy intake were retained on an energy basis and expressed per 1000 kcal ME. No conversion between dry-matter and energy bases was performed when this would have required assumptions regarding moisture content or energy density. Values reported on a different basis were retained and explicitly identified. Where individual diet values were available, arithmetic means and SD were calculated for comparative tabulation. When studies reported ranges without sufficient information to calculate mean and SD, ranges were retained as reported. SDs were not estimated from ranges or graphical data. Where SD could be derived directly from a reported standard error of the mean (SEM) and sample size, it was calculated as SD = SEM × √n. Data extraction was performed by N.F. using a standardized data extraction table and subsequently verified by M.L.-A. Any uncertainties or discrepancies were resolved through discussion and consensus.

    2.5. Methodological and Analytical Quality Assessment

    Because no validated appraisal tool is currently available for studies evaluating mineral concentrations in pet foods, a study-specific methodological and analytical quality assessment was developed. The instrument was designed to characterise study features relevant to sampling procedures, diet characterisation, sample preparation, analytical methodology, analytical quality control, and reporting completeness. It was not intended to provide a formal estimate of risk of bias. The criteria were jointly defined by two authors (B.L. and M.L-A.) with expertise in mineral analysis. The studies were independently evaluated by these authors, and assessments were reached by consensus. The complete assessment tool is presented in Table 1.

    Table 1. Methodological and analytical quality assessment tool for studies evaluating mineral concentrations in dog and cat diets. Each item was scored as 1 when the criterion was met and 0 when absent or insufficiently reported. AF: as fed; CRM: certified reference material; DM: dry matter.

    Table 1 Methodological and analytical quality assessment tool for studies evaluating mineral concentrations in dog and cat diets. Each item was scored as 1 when the criterion was met and 0 when absent or insufficiently reported. AF: as fed; CRM: certified reference material; DM: dry matter.
    DomainItem
    Sample representativenessc1. Sampling strategy adequately described (source of products and selection process reported)
    Diet characterizationc2. Diet type, format, species, and relevant characteristics clearly described
    Sample preparation and matrix handlingc3. Homogenization described
    c4. Digestion method described
    c5. Composite sampling from multiple packages described
    Analytical techniquec6. Analytical method for mineral quantification clearly described and appropriate for the analytes measured
    Analytical quality controlc7. Analytical accuracy assessed using CRM, recovery studies, or equivalent validation procedures
    c8. Analysis of duplicates/triplicates (analytical precision)
    c9. Limits of detection and/or quantification reported
    Reporting completenessc10. Results reported with appropriate quantitative detail (individual values or a measure of variability)
    c11. Basis of expression of mineral concentrations clearly described (e.g., DM, AF, or energy basis)

    The assessment was applied exclusively to studies reporting analytically measured mineral concentrations in complete diets. Studies based on estimated mineral composition were not evaluated using this tool because estimated values reflect formulated or declared nutrient composition rather than the actual mineral concentrations in the final product. Therefore, the analytical quality domains included in the assessment were not applicable to these studies.

    The assessment comprised 11 binary items (c1–c11; Table 1), each scored as 1 when the criterion was fulfilled and 0 when the criterion was not reported or not fulfilled. Total scores were calculated as the number of criteria fulfilled. For analytical methods that did not require sample digestion, the digestion criterion was considered not applicable and was excluded from the denominator. Scores were used as descriptive indicators of methodological and analytical quality rather than as formal estimates of risk of bias.

    2.6. Reference Standards and Assessment of Adequacy of Mineral Levels

    Analytically measured mineral concentrations were interpreted in relation to established nutritional guidelines (Tables S3 and S4), including those proposed by the European Pet Food Industry Federation (FEDIAF) [12] and the Association of American Feed Control Officials (AAFCO) [11]. For the comparative assessment performed specifically in this review, FEDIAF 2024 [12] recommendations were selected as the common reference framework because they provide a single, current set of nutritional recommendations for complete dog and cat foods and allow consistent comparison across the dietary categories included in the review. When individual diet concentrations were available, they were therefore classified as below, within, or above the corresponding FEDIAF recommended range. These classifications formed the basis of a heatmap. AAFCO recommendations were retained only when reporting or discussing adequacy assessments made by the original studies; in such cases, the reference framework is explicitly identified in the text and these classifications were not combined with the FEDIAF-based heatmap assessment.

    2.7. Data Synthesis and Presentation

    Analytically derived mineral composition data were summarised in separate tables for dog (Table 2 and Table 3) and cat (Table 4 and Table 5) diets, and for macrominerals and trace elements, organised on the basis of the main dietary factors evaluated in the studies (diet type, dietary format, formulation characteristics, and physiological context). Information on potentially toxic elements was summarised separately due to the limited number of studies available and the high heterogeneity in the elements evaluated, analytical scope, and reporting approaches. Direct quantitative comparisons of absolute mineral concentrations across studies were restricted to data expressed on the same basis.

    Table 2. Macromineral composition of commercial and alternative dog diets reported in the literature. Unless otherwise indicated, weight-based values are expressed as g/100 g dry matter. Values expressed per 1000 kcal of metabolizable energy are underlined. Data are presented as mean ± standard deviation (SD) where available, median (range), or range, either as reported in the original studies or calculated from individual diet values as described in the Methods. Mean values are presented without SD when SD was not reported and could not be validly derived. Values reported on a different basis are specifically identified. Ref.: reference.

    Table 2 Macromineral composition of commercial and alternative dog diets reported in the literature. Unless otherwise indicated, weight-based values are expressed as g/100 g dry matter. Values expressed per 1000 kcal of metabolizable energy are underlined. Data are presented as mean ± standard deviation (SD) where available, median (range), or range, either as reported in the original studies or calculated from individual diet values as described in the Methods. Mean values are presented without SD when SD was not reported and could not be validly derived. Values reported on a different basis are specifically identified. Ref.: reference.
    Ref.Type of DietCaPCa:PMgNaKCl
    Conventional diets
    [ 18 ]Adult dry1.46 ± 0.3260.875 ± 0.2301.69 ± 0.1560.198 ± 0.0741 0.502 ± 0.151
    [ 21 ]Growth dry1.57 ± 0.4701.04 ± 0.1701.40 ± 0.3400.160 ± 0.08000.370 ± 0.1000.550 ± 0.1200.680 ± 0.210
    [ 26 ]Wet 3.13 ± 1.03 3.36 ± 0.890
    [ 28 ] ‡Wet 3.70 2.80 1.40 0.300 1.90 2.40
    [ 29 ] †Commercial 1.25 ± 0.2900.900 ± 0.180 0.570 ± 0.5300.770 ± 0.140
    [ 30 ] †Dry0.210 ± 0.1000.140 ± 0.0400 0.0170 ± 0.0100 0.0840 ± 0.0100
    [ 38 ]Dry 0.490–2.59 0.318–0.7050.529–1.05
    [ 54 ]Weight-loss 3.04 ± 0.518 2.99 ± 0.799 1.03 ± 0.0960 0.332 ± 0.152 1.20 ± 0.380 2.59 ± 0.680
    Alternative diets
    [ 28 ]Commercial homemade-style/RMBD 2.18 ± 1.39 1.89 ± 0.689 1.12 ± 0.678 0.320 ± 0.103 0.870 ± 0.604 2.24 ± 0.920
    [ 33 ] *Commercial plant-based: adult1.07 (0.380–1.90)0.800 (0.500–1.50)1.30 (0.800–2.50)0.150 (0.100–0.230)0.340 (0.0200–1.27)1.11 (0.730–1.72)0.930 (0.0900–2.47)
    Commercial plant-based: growth1.12 (0.480–1.45)0.880 (0.580–1.12)1.30 (0.800–1.40)0.180 (0.100–0.670)0.360 (0.290–0.690)1.21 (0.730–1.72)1.12 (0.230–1.41)
    [ 57 ]Home-prepared, not supplemented 0.310 ± 0.310 1.16 ± 0.770 0.260 ± 0.220 0.250 ± 0.110 0.350 ± 0.290 0.770 ± 0.330
    Home-prepared, supplemented 1.77 ± 1.52 1.09 ± 0.610 1.78 ± 1.46 0.190 ± 0.110 0.510 ± 0.490 0.850 ± 0.460
    [ 57 ]Home-prepared, with meat 0.810 ± 1.04 1.13 ± 0.450 0.840 ± 1.22 0.210 ± 0.110 0.420 ± 0.370 0.800 ± 0.410
    Home-prepared, vegetarian 1.38 ± 1.85 1.14 ± 0.410 1.09 ± 1.16 0.280 ± 0.110 0.440 ± 0.480 0.830 ± 0.250
    [ 60 ] *Commercial insect-based1.30 (0.910–2.81)0.930 (0.690–1.70)1.59 (0.580–2.95)0.210 (0.120–0.310)
    [ 69 ] ‡Home-prepared (growth)0.09000.3700.2500.09000.1100.760
    [ 70 ] ‡Home-prepared RMBD with commercial premix (growth)0.08000.4400.1820.1300.1050.590
    [ 71 ]Commercial RMBD: adult 3.70 ± 2.80 2.30 ± 1.30 1.50 ± 0.600
    Commercial RMBD: growth 2.70 ± 0.800 1.80 ± 0.200 1.50 ± 0.500
    Commercial RMBD: all life stages 4.50 ± 3.00 2.20 ± 0.900 1.90 ± 0.700
    [ 73 ]Commercial vegan0.800 ± 0.2201.00 ± 0.06000.800 ± 0.1800.170 ± 0.06000.270 ± 0.1800.770 ± 0.450
    Comparative studies: conventional vs. alternative diets
    [ 25 ]Commercial meat-based 4.68 ± 2.93 3.16 ± 1.19 1.41 ± 0.380 0.320 ± 0.0500 1.05 ± 0.470 1.76 ± 0.390 1.80 ± 1.00
    Commercial plant-based 2.81 ± 1.13 2.24 ± 0.530 1.33 ± 0.630 0.500 ± 0.160 0.910 ± 0.250 2.54 ± 0.470 1.60 ± 0.850
    Commercial renal 1.06 ± 0.240 0.770 ± 0.0800 1.40 ± 0.250 0.220 ± 0.0200 0.560 ± 0.110 1.62 ± 0.100 1.60 ± 0.340
    Comparisons within conventional diets
    [ 27 ] †Adult1.02 ± 0.2400.840 ± 0.290 0.130 ± 0.03000.390 ± 0.07000.670 ± 0.110
    Puppy1.62 ± 0.5201.15 ± 0.320 0.120 ± 0.07000.510 ± 0.1400.680 ± 0.150
    [ 31 ] *Wet1.981.57 0.1351.021.49
    Dry1.290.956 0.1210.4090.625
    [ 45 ]Cereal-containing dry1.09 ± 0.3080.750 ± 0.1361.47 ± 0.3870.144 ± 0.03170.428 ± 0.07760.713 ± 0.127
    Cereal-free dry1.08 ± 0.4030.771 ± 0.1941.46 ± 0.5400.145 ± 0.03330.527 ± 0.1560.964 ± 0.161
    [ 48 ]Fish dry0.455 ± 0.07201.34 ± 0.3000.351 ± 0.08600.211 ± 0.08700.588 ± 0.1900.935 ± 0.149
    Poultry dry0.449 ± 0.09701.31 ± 0.1300.344 ± 0.06300.153 ± 0.04100.422 ± 0.07000.768 ± 0.137
    [ 48 ]Lamb dry0.620 ± 0.1221.36 ± 0.2500.472 ± 0.1470.228 ± 0.1020.443 ± 0.05500.739 ± 0.197
    Beef dry0.441 ± 0.04001.06 ± 0.2700.443 ± 0.1440.133 ± 0.03300.425 ± 0.09600.852 ± 0.124
    Mixture dry0.425 ± 0.2071.27 ± 0.2400.323 ± 0.1410.159 ± 0.04900.458 ± 0.1180.871 ± 0.221
    Other dry0.450 ± 0.07001.26 ± 0.3400.373 ± 0.1140.154 ± 0.1300.683 ± 0.4140.970 ± 0.142
    [ 55 ]Non-prescription dry1.07 ± 0.1850.553 ± 0.107
    Hepatic dry0.478 ± 0.2260.246 ± 0.167
    Renal dry0.384 ± 0.1020.263 ± 0.169
    Gastrointestinal dry0.594 ± 0.1410.345 ± 0.106
    Hypoallergenic dry0.658 ± 0.1360.390 ± 0.124
    [ 56 ] †Dry1.41 ± 0.1201.58 ± 0.510 0.160 ± 0.0130
    Wet0.680 ± 0.2901.39 ± 0.290 0.0680 ± 0.0110
    [ 43 ]Super-premium dry1.020.880
    Premium dry1.411.20
    White brand 1 dry2.021.51
    White brand 2 dry1.400.960
    [ 58 ]Low-price dry2.821.481.920.1970.7240.621
    Medium dry1.751.151.520.1310.8020.740
    Premium dry1.851.121.710.1630.6340.618
    Super-premium dry1.260.9041.410.1240.5911.00
    [ 61 ]Dry1.08 ± 0.3401.00 ± 0.4001.10 ± 0.3000.100 ± 0.03000.320 ± 0.1900.460 ± 0.140
    Wet2.11 ± 1.191.78 ± 0.9101.20 ± 0.3000.0900 ± 0.02001.14 ± 0.4901.07 ± 0.470
    [ 72 ] †Adult1.28–1.571.07–1.161.10–1.46
    Puppies, medium/large breeds1.33–1.450.920–1.041.32–1.44
    [ 72 ] †Puppies + reproduction1.38–1.420.940–1.021.35–1.51
    Adults, medium/large breeds0.960–1.350.960–1.110.910–1.33

    Table 3. Trace element composition of commercial and alternative dog diets reported in the literature. Unless otherwise indicated, weight-based values are expressed as mg/100 g dry matter, with selenium expressed as µg/100 g dry matter. Values expressed per 1000 kcal of metabolizable energy are underlined. Data are presented as mean ± standard deviation (SD) where available, median (range), or range, either as reported in the original studies or calculated from individual diet values as described in the Methods. Mean values are presented without SD when SD was not reported and could not be validly derived. Values reported on a different basis are specifically identified. Ref.: reference.

    Table 3 Trace element composition of commercial and alternative dog diets reported in the literature. Unless otherwise indicated, weight-based values are expressed as mg/100 g dry matter, with selenium expressed as µg/100 g dry matter. Values expressed per 1000 kcal of metabolizable energy are underlined. Data are presented as mean ± standard deviation (SD) where available, median (range), or range, either as reported in the original studies or calculated from individual diet values as described in the Methods. Mean values are presented without SD when SD was not reported and could not be validly derived. Values reported on a different basis are specifically identified. Ref.: reference.
    Ref.Type of DietCoCuFeIMnMoSeZn
    Conventional diets
    [ 18 ]Adult dry 0.981 ± 0.15528.0 ± 18.5 3.78 ± 4.25 45.0 ± 25.99.86 ± 5.36
    [ 21 ]Growth dry 3.23 ± 1.0936.8 ± 12.20.415 ± 0.6135.93 ± 3.20 57.0 ± 27.017.9 ± 5.76
    [ 30 ] †Dry 1.42 ± 0.70023.0 ± 6.60 3.70 ± 2.60 20.0 ± 11.4
    [ 38 ]Dry 0.00800–0.0590 18.8–64.6 24.0–2144.40–63.3
    [ 40 ] *Dry 4.40 (2.30–9.00) 62.0 (25.5–278) 11.7 (2.30–26.5) 180 (90–490) 53.0 (33.0–82.2)
    [ 41 ]Wet 0.0700–5.04
    [ 42 ]Dry & wet0.0419 ± 0.06782.18 ± 1.28 0.0979 ± 0.0449 25.4 ± 15.5
    [ 44 ]Dry 0.401 ± 0.1333.56 ± 1.6053.0 ± 30.9 2.52 ± 6.82
    [ 46 ] *Dry 0.250 (0.0400–0.650)
    [ 54 ]Weight-loss dry 19.5 ± 6.54 99.8 ± 36.0 23.3 ± 11.4 56.2 ± 147 65.9 ± 11.2
    [ 63 ]Dry & wet 40.0
    [ 74 ]Dry & wet0.165 ± 0.236 33.9 ± 21.3
    [ 28 ] ‡Wet 5.00 55.8 4.90 0 5.40
    Alternative diets
    [ 28 ]Commercial homemade-style/RMBD 2.20 ± 1.50 28.2 ± 17.5 4.64 ± 2.62 30.0 ± 94.9 32.8 ± 33.3
    [ 33 ] *Commercial plant-based: adult 2.34 (0.890–5.47)22.7 (10.7–75.0) 4.13 (1.39–7.39) 15.5 (4.46–35.9)
    Commercial plant-based: growth 3.25 (1.43–3.49)41.5 (12.7–61.6) 4.83 (1.39–8.26) 15.6 (9.32–35.9)
    [ 57 ]Home-prepared, not supplemented 7.30 ± 6.23 9.59 ± 5.02 3.23 ± 2.69 1.53 ± 7.02 11.1 ± 6.93
    [ 57 ]Home-prepared, supplemented 11.6 ± 12.4 15.3 ± 12.2 3.96 ± 4.09 0.00 ± 0.00 15.0 ± 10.9
    Home-prepared, with meat 8.98 ± 9.75 12.1 ± 9.90 3.31 ± 3.45 0.580 ± 4.51 13.9 ± 9.43
    Home-prepared, vegetarian/vegan 9.57 ± 8.29 11.1 ± 4.58 4.62 ± 2.62 2.42 ± 8.39 7.27 ± 2.92
    [ 60 ] *Commercial insect-based 1.90 (0.641–2.98)50.8 (7.98–88.9) 25.5 (4.25–51.2)
    [ 70 ] ‡Home-prepared RMBD with commercial premix (growth) 0.5006.20 3.10 4.80
    [ 71 ]Commercial RMBD: adult 1.70 ± 0.900 32.6 ± 28.1
    Commercial RMBD: growth 1.60 ± 0.300 37.7 ± 24.8
    Commercial RMBD: all life stages 2.70 ± 2.90 14.9 ± 5.70
    [ 73 ]Commercial vegan 4.80 ± 1.6151.3 ± 20.5 7.37 ± 2.15 21.0 ± 3.00
    Comparative studies: conventional vs. alternative diets
    [ 25 ]Commercial meat-based 4.55 ± 2.25 84.3 ± 57.3 0.280 ± 0.170 12.4 ± 4.50 101 ± 33.0 35.8 ± 11.6
    Commercial plant-based 5.17 ± 1.47 117 ± 99.0 0.140 ± 0.100 17.1 ± 8.20 77.3 ± 25.1 34.3 ± 12.8
    Commercial renal 3.62 ± 1.01 34.1 ± 9.30 0.300 ± 0.0900 13.4 ± 4.20 60.8 ± 25.3 37.2 ± 10.7
    Comparisons within conventional diets
    [ 22 ] †Dry0.0316 ± 0.0266 0.0847 ± 0.0399
    Wet0.00929 ± 0.0108 0.0246 ± 0.0147
    [ 27 ] †Adult 1.14 ± 0.16222.1 ± 4.9070.5 ± 19.43.22 ± 1.80 20.1 ± 4.60
    Puppy 3.01 ± 3.6037.8 ± 10.494.2 ± 48.54.33 ± 1.50 47.6 ± 55.7
    [ 31 ] *Wet0.0000100 0.00233<0.0000640 (LOQ) 0.0170
    Dry0.00000800 0.00579<0.0000640 (LOQ) 0.0180
    [ 32 ] †Adult0.00800–0.08200.900–6.0017.7–86.20.0900–1.400.600–11.1 4.40–55.4
    Puppy0.00800–0.07501.50–6.4019.8–67.50.0700–1.401.60–14.9 4.60–61.4
    [ 36 ]Dry 0.540 ± 0.2103.84 ± 1.29 0.720 ± 0.370
    Wet 0.790 ± 0.2706.52 ± 0.550 1.16 ± 0.620
    [ 45 ]Cereal-containing dry 1.68 ± 0.28039.9 ± 16.7 4.27 ± 2.63 17.4 ± 4.86
    Cereal-free dry 2.16 ± 0.44046.9 ± 22.9 5.78 ± 5.66 19.9 ± 8.47
    [ 48 ]Fish dry 1.34 ± 0.59017.7 ± 8.40 2.98 ± 1.500.113 ± 0.0250 8.63 ± 3.18
    Poultry dry 1.13 ± 0.14016.8 ± 5.82 1.80 ± 0.7400.0980 ± 0.00800 9.51 ± 1.90
    Lamb dry 1.49 ± 0.31020.9 ± 4.69 3.57 ± 0.4500.110 ± 0.0140 9.06 ± 3.56
    Beef dry 1.84 ± 0.74017.4 ± 6.06 3.52 ± 1.530.105 ± 0.00800 7.92 ± 2.18
    Mixture dry 1.14 ± 0.28023.7 ± 12.9 2.43 ± 1.030.101 ± 0.0310 10.6 ± 7.36
    Other dry 0.878 ± 0.78211.9 ± 3.01 2.99 ± 3.090.110 ± 0.0170 5.52 ± 3.38
    [ 51 ] †Premium dry 1.34 ± 0.23012.2 ± 2.24 4.59 ± 1.910.0406 ± 0.0086966.0 ± 29.917.5 ± 2.52
    Low-cost dry 1.49 ± 0.16017.7 ± 6.47 4.66 ± 1.400.0455 ± 0.014371.0 ± 20.614.6 ± 2.36
    [ 52 ]Junior dry 2.30 ± 0.63867.8 ± 27.1 31.4 ± 10.8
    Adult dry 4.29 ± 0.87439.3 ± 12.8 33.2 ± 5.77
    [ 55 ]Non-prescription dry 0.944 ± 0.59849.5 ± 24.7 2.18 ± 1.01 201 ± 2108.94 ± 6.02
    Hepatic dry 0.868 ± 0.71520.2 ± 21.0 4.55 ± 6.58 229 ± 3689.98 ± 3.44
    Renal dry 0.903 ± 0.63347.9 ± 108 2.25 ± 1.08 101 ± 99.511.2 ± 7.03
    Gastrointestinal dry 1.24 ± 0.56049.9 ± 53.0 3.17 ± 1.21 189 ± 16812.6 ± 4.93
    Hypoallergenic dry 1.33 ± 0.53547.1 ± 80.0 3.50 ± 1.87 184 ± 20216.8 ± 5.95
    [ 56 ] †Dry0.0140 ± 0.002001.58 ± 0.12036.2 ± 4.26 3.78 ± 0.7860.0870 ± 0.0060056.0 ± 5.0013.3 ± 0.879
    Wet0.0120 ± 0.008002.57 ± 1.5491.0 ± 54.4 2.32 ± 1.280.110 ± 0.0250150 ± 19.023.5 ± 6.60
    [ 58 ]Low-price dry 2.1333.2 7.48 43.227.9
    Medium dry 1.9815.2 8.29 52.730.6
    Premium dry 1.8020.8 6.53 10230.1
    [ 58 ]Super-premium dry 2.9433.6 8.93 95.439.8
    [ 61 ]Dry0.140 ± 0.1301.50 ± 0.74016.5 ± 10.7 5.35 ± 1.71 6.22 ± 4.0523.1 ± 15.7
    Wet0.0400 ± 0.03000.850 ± 0.58017.0 ± 11.6 4.94 ± 4.95 10.6 ± 9.3011.1 ± 5.95

    Table 4. Macromineral composition of commercial and alternative cat diets reported in the literature. Unless otherwise indicated, weight-based values are expressed as g/100 g dry matter. Values expressed per 1000 kcal of metabolizable energy are underlined. Data are presented as mean ± standard deviation (SD) where available, median (range), or range, either as reported in the original studies or calculated from individual diet values as described in the Methods. Mean values are presented without SD when SD was not reported and could not be validly derived. Values reported on a different basis are specifically identified. Ref.: reference.

    Table 4 Macromineral composition of commercial and alternative cat diets reported in the literature. Unless otherwise indicated, weight-based values are expressed as g/100 g dry matter. Values expressed per 1000 kcal of metabolizable energy are underlined. Data are presented as mean ± standard deviation (SD) where available, median (range), or range, either as reported in the original studies or calculated from individual diet values as described in the Methods. Mean values are presented without SD when SD was not reported and could not be validly derived. Values reported on a different basis are specifically identified. Ref.: reference.
    Ref.Type of DietCaPCa:PMgNaKCl
    Conventional diets
    [ 26 ]Wet 3.09 ± 1.28 2.76 ± 1.48
    [ 29 ] †Commercial1.64 ± 0.5001.18 ± 0.250 0.680 ± 0.7800.820 ± 0.130
    [ 30 ] †Dry0.170 ± 0.06600.140 ± 0.0290 0.0170 ± 0.00670 0.0880 ± 0.0180
    [ 72 ] †Adult1.45 ± 0.4001.07 ± 0.1101.33 ± 0.250
    Alternative diets
    [ 33 ] *Commercial plant-based: adult0.840 (0.480–1.42)0.790 (0.560–1.07)1.10 (0.800–1.40)0.170 (0.0900–0.190)0.330 (0.170–0.730)1.06 (0.680–1.72)0.950 (0.380–1.46)
    Commercial plant-based: growth0.960 (0.480–1.39)0.760 (0.560–1.07)1.24 (0.830–1.39)0.180 (0.0900–0.190)0.330 (0.290–0.730)1.44 (0.680–1.72)1.03 (0.790–1.46)
    [ 57 ]Home-prepared, not supplemented 0.700 ± 0.700 1.29 ± 0.390 0.500 ± 0.380 0.270 ± 0.110 0.460 ± 0.360 1.00 ± 0.520
    Home-prepared, supplemented 2.26 ± 1.22 1.33 ± 0.510 2.26 ± 2.19 0.230 ± 0.0700 0.780 ± 0.410 1.07 ± 0.360
    Home-prepared, with meat 1.76 ± 1.33 1.34 ± 0.470 1.69 ± 2.01 0.230 ± 0.0600 0.700 ± 0.420 1.01 ± 0.370
    Home-prepared, vegetarian 0.700 ± 0.320 1.13 ± 0.350 0.600 ± 0.0800 0.340 ± 0.190 0.300 ± 0.200 1.30 ± 0.670
    [ 71 ]Commercial RMBD 4.80 ± 2.40 2.90 ± 1.10 1.60 ± 0.300
    [ 73 ] ‡Commercial vegan0.7201.070.6700.1700.2000.540
    Comparative studies: conventional vs. alternative diets
    [ 67 ] *Dry 3.90 (1.80–7.40) 3.10 (1.80–4.90) 1.30 (0.800–1.60) 0.300 (0.100–0.500)
    Wet 3.30 (0.300–8.70) 2.80 (0.600–5.80) 1.30 (0.500–1.70) 0.200 (0.0500–0.490)
    Commercial raw 4.60 (1.00–8.20) 3.10 (1.20–5.20) 1.40 (0.800–1.60) 0.300 (0.100–0.500)
    Comparisons within conventional diets
    [ 23 ]Renal dry0.6150.3861.590.0710
    Urinary dry0.5690.4361.310.0710
    Obesity dry0.5720.3701.55 0.0570
    Non-prescription dry1.130.6061.860.0920
    Gastrointestinal dry0.8390.6031.390.0930
    [ 27 ] †Adult1.32 ± 0.3700.880 ± 0.130 0.140 ± 0.03000.530 ± 0.1400.680 ± 0.180
    Kitten1.51 ± 0.3101.00 ± 0.250 0.140 ± 0.03000.500 ± 0.07000.580 ± 0.150
    [ 31 ] *Wet1.741.57 0.1051.191.34
    Dry1.411.24 0.1110.5690.769
    [ 56 ] †Dry1.56 ± 0.7501.89 ± 0.720 0.150 ± 0.0570
    Wet0.700 ± 0.2401.36 ± 0.310 0.0740 ± 0.0200
    [ 66 ] *Senior-labelled 3.70 (1.90–5.70) 3.20 (1.50–4.40) 1.30 (0.900–1.60) 0.280 (0.120–0.560) 1.10 (0.700–2.70) 2.30 (1.70–3.60)
    Adult-labelled 3.90 (0.800–8.70) 3.10 (0.900–5.80) 1.30 (0.800–1.70) 0.270 (0.0600–0.540) 1.10 (0.500–3.90) 2.20 (1.20–3.90)

    Table 5. Trace element composition of commercial and alternative cat diets reported in the literature. Unless otherwise indicated, weight-based values are expressed as mg/100 g dry matter, with selenium expressed as µg/100 g dry matter. Values expressed per 1000 kcal of metabolizable energy are underlined. Data are presented as mean ± standard deviation (SD) where available, median (range), or range, either as reported in the original studies or calculated from individual diet values as described in the Methods. Mean values are presented without SD when SD was not reported and could not be validly derived. Values reported on a different basis are specifically identified. Ref.: reference.

    Table 5 Trace element composition of commercial and alternative cat diets reported in the literature. Unless otherwise indicated, weight-based values are expressed as mg/100 g dry matter, with selenium expressed as µg/100 g dry matter. Values expressed per 1000 kcal of metabolizable energy are underlined. Data are presented as mean ± standard deviation (SD) where available, median (range), or range, either as reported in the original studies or calculated from individual diet values as described in the Methods. Mean values are presented without SD when SD was not reported and could not be validly derived. Values reported on a different basis are specifically identified. Ref.: reference.
    Ref.Type of DietCoCuFeIMnMoSeZn
    Conventional diets
    [ 30 ] †Dry 1.50 ± 0.60027.2 ± 12.3 3.77 ± 2.50 15.5 ± 9.40
    [ 42 ]Dry & wet0.0258 ± 0.04081.32 ± 1.34 0.0766 ± 0.0593 13.7 ± 15.7
    [ 44 ]Dry 0.244 ± 0.05603.81 ± 1.3838.9 ± 8.85 19.5 ± 5.46
    [ 63 ]Dry & wet 114
    [ 74 ]Dry & wet 0.0660 ± 0.0690 38.3 ± 34.5
    Alternative diets
    [ 33 ] *Commercial plant-based: adult 2.49 (1.43–3.44)26.5 (10.5–42.2) 4.11 (1.31–6.72) 18.7 (8.90–35.9)
    Commercial plant-based: growth 2.65 (1.43–3.44)24.6 (10.5–41.4) 4.10 (1.31–5.55) 21.5 (8.90–35.9)
    [ 57 ]Home-prepared, not supplemented 7.23 ± 8.21 10.2 ± 3.47 3.63 ± 4.98 20.7 ± 62.1 10.3 ± 5.52
    Home-prepared, supplemented 15.5 ± 12.9 15.5 ± 5.55 1.65 ± 3.14 0.00 16.5 ± 8.19
    Home-prepared, with meat 12.3 ± 11.9 13.5 ± 5.61 1.58 ± 2.69 0.00 16.5 ± 8.67
    Home-prepared, vegetarian 11.5 ± 12.4 12.7 ± 4.43 8.77 ± 6.41 69.0 ± 97.6 10.9 ± 5.32
    [ 71 ]Commercial RMBD: adult 2.60 ± 1.20 27.1 ± 10.7
    [ 73 ] ‡Commercial vegan 7.6039.0 7.00 24.0
    Comparative studies: conventional vs. alternative diets
    [ 68 ] *Dry 6.00 (3.20–10.5) 61.4 (29.8–104) 57.0 (17.2–122)
    Wet 5.20 (1.40–13.3) 59.3 (24.5–379) 43.8 (21.3–128)
    Raw 3.60 (0.800–8.10) 34.5 (15.7–74.4) 18.7 (7.60–43.2)
    Adult-labelled 5.60 (0.800–13.3) 54.8 (15.7–135) 43.6 (7.60–106)
    Senior-labelled 5.70 (3.10–10.5) 64.9 (29.8–379) 57.2 (35.6–128)
    Comparisons within conventional diets
    [ 19 ] *Wet 0.440 (0.0700–1.94)
    Dry 0.300 (0.0900–0.910)
    [ 20 ] #Salmon-based wet 0.218 ± 0.12310.6 ± 7.82 0.246 ± 0.0633 2.08 ± 0.443
    Tuna-based wet 0.295 ± 0.19313.2 ± 9.57 0.280 ± 0.123 2.02 ± 0.642
    Liver-based wet 0.204 ± 0.1687.14 ± 5.39 0.364 ± 0.0980 2.14 ± 0.231
    Aquatic-product wet, kitten 0.266 ± 0.23312.1 ± 12.3 0.264 ± 0.139 2.11 ± 0.635
    [ 22 ] †Dry0.0292 ± 0.0248 0.0968 ± 0.0539
    Wet0.00843 ± 0.00953 0.0182 ± 0.0145
    [ 23 ]Renal dry 1.1868.6 2.41 13512.3
    Urinary dry 1.5359.4 3.43 30414.2
    Obesity dry 1.5431.2 3.22 17613.6
    Non-prescription dry 1.0649.6 1.77 2287.26
    Gastrointestinal dry 1.5135.9 2.80 21715.6
    [ 27 ] †Adult 1.07 ± 0.23826.9 ± 12.730.8 ± 9.704.81 ± 2.80 18.5 ± 5.80
    Kitten 1.38 ± 0.38880.9 ± 4.8829.5 ± 16.54.43 ± 1.96 20.9 ± 9.97
    [ 31 ] *Wet0.00000800 0.001970.0000750 0.0154
    Dry0.00000800 0.00596<0.0000640 (LOQ) 0.0176
    [ 36 ]Dry 1.18 ± 0.5104.26 ± 1.84 1.61 ± 1.13
    Wet 1.24 ± 0.4506.88 ± 0.230 1.45 ± 0.820
    [ 37 ] *Dry & wet 0.350 (0.0200–15.5)
    Kitten dry & wet 0.501 (0.294–0.728)
    Adult non-therapeutic dry & wet 0.364 (0.0200–15.5)
    Therapeutic dry & wet 0.261 (0.0840–0.500)
    [ 51 ] †Premium dry 1.34 ± 0.32013.1 ± 2.42 4.51 ± 2.440.0462 ± 0.030876.1 ± 15.417.7 ± 3.01
    Low-cost dry 1.49 ± 0.39019.0 ± 4.34 4.22 ± 1.570.0427 ± 0.017777.5 ± 18.716.1 ± 4.38
    [ 56 ] †Dry0.0130 ± 0.006001.65 ± 0.38038.4 ± 10.2 2.59 ± 1.250.0880 ± 0.038074.0 ± 36.016.7 ± 6.40
    Wet0.0100 ± 0.005002.01 ± 1.2089.6 ± 61.8 3.73 ± 1.610.0800 ± 0.0300120 ± 43.015.8 ± 6.70

    To provide a relative measure of between-product variability, coefficients of variation (CVs) were calculated as (SD/mean) × 100 for mineral concentrations reported as mean ± SD or for which mean and SD could be directly derived as described above. CVs were calculated within each study or dietary subgroup and were not estimated when SD was unavailable. The resulting CVs are presented in Table 6.

    Table 6. Coefficients of variation (CV, %) for mineral concentrations in dog and cat diets included in the analytical synthesis.

    Table 6 Coefficients of variation (CV, %) for mineral concentrations in dog and cat diets included in the analytical synthesis.
    Ref.Type of DietCaPCa:PMgNaKClCoCuFeIMnMoSeZn
    Conventional diets
    [ 18 ]Adult dry dog2226937 30 1666 112 5854
    [ 21 ]Growth dry dog30162450272231 343314854 4732
    [ 26 ]Wet dog 33 26
    [ 29 ]Commercial dog2320 9318
    [ 30 ]Dry dog4829 59 12 4929 70 57
    [ 42 ]Dry & wet dog 16259 46 61
    [ 44 ]Dry dog 334558 271
    [ 54 ]Weight-loss dry dog17279463226 3436 49 26217
    [ 74 ]Dry & wet dog 143 63
    [ 26 ]Wet cat 41 54
    [ 29 ]Commercial cat3021 11516
    [ 30 ]Dry cat3921 39 20 4045 66 61
    [ 42 ]Dry & wet cat 158102 77 115
    [ 44 ]Dry cat 233623 28
    [ 72 ]Adult cat281019
    [ 74 ]Dry & wet cat 105 90
    Alternative diets
    [ 28 ]Commercial homemade-style/RMBD643661326941 6862 56 316102
    [ 57 ]Home-prepared, not supplemented dog1006685448343 8552 83 45962
    Home-prepared, supplemented dog865682589654 10780 103 73
    Home-prepared, with meat dog12840145528851 10982 104 77868
    Home-prepared, vegetarian dog134361063910930 8741 57 34740
    [ 71 ]Commercial RMBD: adult dog765740 53 86
    Commercial RMBD: growth dog301133 19 66
    Commercial RMBD: all life stages dog674137 107 38
    [ 73 ]Commercial vegan dog27622356758 3440 29 14
    [ 57 ]Home-prepared, not supplemented cat1003076417852 11434 137 30054
    Home-prepared, supplemented cat543897305334 8336 190 50
    Home-prepared, with meat cat7635119266037 9742 170 53
    Home-prepared, vegetarian cat463113566752 10835 73 14149
    [ 71 ]Commercial RMBD cat503819
    Commercial RMBD: adult cat 46 39
    Comparative studies: conventional vs. alternative diets
    [ 25 ]Commercial meat-based dog63382716452256 49686136 3332
    Commercial plant-based dog40244732271953 28857148 3237
    Commercial renal dog231018920621 28273031 4229
    Comparisons within conventional diets
    [ 22 ]Dry dog 84 47
    Wet dog 116 60
    [ 27 ]Adult dry dog2435 231816 14222856 23
    Puppy dry dog3228 582722 120285135 117
    [ 36 ]Dry dog 3934 51
    Wet dog 348 53
    [ 45 ]Cereal-containing dry dog281826221818 1742 62 28
    Cereal-free dry dog372537233017 2049 98 43
    [ 48 ]Fish dry dog162225413216 4447 5022 37
    Poultry dry dog221018271718 1235 418 20
    Lamb dry dog201831451227 2122 1313 39
    Beef dry dog92533252315 4035 438 28
    Mixture dry dog491944312625 2554 4231 69
    Other dry dog162731846115 8925 10315 61
    [ 51 ]Premium dry dog 1718 42214514
    Low-cost dry dog 1137 30312916
    [ 52 ]Junior dry dog 2840 34
    Adult dry dog 2033 17
    [ 55 ]Non-prescription dry dog1719 6350 46 10467
    Hepatic dry dog4768 82104 145 16134
    Renal dry dog2764 70225 48 9963
    Gastrointestinal dry dog2431 45106 38 8939
    Hypoallergenic dry dog2132 40170 53 11035
    [ 56 ]Dry dog932 8 14812 21797
    Wet dog4321 16 676060 55231328
    [ 61 ]Dry dog314027305930 934965 32 6568
    Wet dog565125224344 756868 100 8854
    [ 20 ]Salmon-based wet cat 5674 26 21
    Tuna-based wet cat 6573 44 32
    Liver-based wet cat 8275 27 11
    Aquatic-product, wet kitten 88102 53 30
    [ 22 ]Dry cat 85 56
    Wet cat 113 80
    [ 27 ]Adult dry cat2815 212626 22473158 31
    Kitten dry cat2125 211426 2865644 48
    [ 36 ]Dry cat 4343 70
    Wet cat 363 57
    [ 51 ]Premium dry cat 2418 54672017
    Low-cost dry cat 2623 37412427
    [ 56 ]Dry cat4838 38 462327 48434938
    Wet cat3423 27 506069 43383642

    To provide an integrative visual summary of mineral imbalances across diet types and species, a heatmap was constructed using analytically measured mineral composition data reported at the level of individual complete diets. Only analytically based studies providing mineral concentrations for individual diets and allowing comparison with FEDIAF 2024 reference values were included. For each mineral and dietary category, individual values were classified as being below, within or above the recommended range, and the heatmap represents the percentage of diets outside the recommended range. Each row of the heatmap represents one study or one dietary subgroup within a study; therefore, each cell is derived from a single study. The number of individual diets contributing to each row is reported as n in the figure. No AAFCO-based classifications were incorporated into the heatmap. Single-diet clinical case reports were excluded from the heatmap.

    Because data on potentially toxic elements could not be summarised using the same approach as for essential minerals—owing to differences in study design, analytical coverage, reporting criteria and toxicological reference values—a separate semi-quantitative heatmap was generated. Only studies evaluating commercially available pet foods were included in the synthesis. For each study and element, evidence was classified on the basis of the reported level of regulatory non-compliance or toxicological concern. When available, the proportion of samples exceeding the corresponding reference thresholds was included in the visual classification by using a graded colour scale. Consequently, the heatmap should be interpreted as a comparative representation of reported toxicological concern rather than a direct comparison of regulatory compliance across studies.

    For the purposes of the descriptive synthesis, dietary categories were operationally defined according to their formulation and mode of preparation. Conventional commercial diets comprised commercially manufactured complete foods, including dry and wet products; cereal-free or grain-free commercial formulations were considered formulation variants within this category rather than alternative diets. The term “alternative diets” was retained only as a broad organisational label encompassing RMBDs, home-prepared diets, and plant-based diets, which depart from conventional commercial feeding patterns in their formulation and/or preparation. Because these dietary approaches differ substantially in composition and formulation strategy, they were analysed and discussed as separate subtypes and were not quantitatively pooled as a single dietary category. RMBDs were defined as diets based predominantly on uncooked animal-derived ingredients, including meat, edible bone and/or organs, whether commercially manufactured or owner-formulated. Home-prepared diets were defined as non-commercial recipes prepared from individual ingredients; when reported by the original studies, professionally formulated or veterinary-prescribed diets were distinguished from owner-formulated or internet-sourced recipes. Commercial products described as “homemade-style” were identified separately and were not classified as home-prepared diets. Plant-based diets comprised commercial formulations based predominantly or exclusively on plant-derived ingredients; vegetarian or vegan home-prepared recipes were retained within the home-prepared category and identified as such.

    3. Results and Discussion

    The research strategy identified 7943 records, of which 3499 were duplicates. Following screening and eligibility assessment, 76 studies were included in the review: 58 analytical studies evaluating mineral composition and 18 studies assessing estimated mineral intake or adequacy of mineral levels. The complete study selection process is presented in Figure 1.

    [图:PRISMA [ 16 ] flow diagram outlining the multi-database systematic literature search, screening process, and eligibility]

    论文配图

    The analytical mineral composition data extracted from the reviewed studies are summarised in Table 2, Table 3, Table 4 and Table 5. Weight-based values are expressed using harmonised units, predominantly on a dry-matter basis, whereas values expressed per 1000 kcal ME are underlined in the tables. Specifically, data on dog diets are presented in Table 2 (macrominerals) and Table 3 (trace elements), and data on cat diets are presented in Table 4 (macrominerals) and Table 5 (trace elements). To facilitate interpretation of the adequacy of mineral levels across dietary categories, the analytical results were included in the visual synthesis presented in Figure 2.

    3.1. Overview of Analytical Studies on Mineral Composition of Dog and Cat Diets

    This section synthesises evidence from studies that have directly quantified the mineral composition of complete diets formulated for dogs and cats, forming the empirical basis of the present analysis. The available literature comprised studies analysing dog diets exclusively (n = 22), studies including both dogs and cats (n = 26), and a smaller number of studies focused solely on cat diets (n = 10). Overall, dogs were represented in a greater number of studies than cats (48 and 36 studies, respectively), and dog diets were also represented across a broader range of diet types, formats, and formulation strategies.

    A broad spectrum of dietary categories was evaluated across the studies, including conventional commercial diets, alternative dietary approaches (namely RMBDs, home-prepared, and plant-based diets), and selected veterinary therapeutic diets. Commercial cereal-free or grain-free formulations were considered variants of conventional commercial diets rather than a separate alternative dietary category. Most studies adopted a descriptive design focused on a single dietary category, while comparatively few directly compared different diet types, dietary formats or formulation approaches within the same experimental framework. A high degree of heterogeneity was also observed in dietary format (dry extruded versus moist canned products), ingredient composition, and life stage or physiological context, reflecting the diversity of feeding practices addressed in the available literature.

    Regarding mineral coverage and data structure, calcium and phosphorus were the most frequently reported macrominerals, whereas iron, zinc, copper, iodine, and selenium were the most commonly analysed trace elements. Limited data were available for other trace elements, and the spectrum of minerals analysed varied substantially across studies. Reporting resolution also differed, with some studies providing mineral concentrations at the level of individual diets and others reporting only aggregated values, contributing to additional heterogeneity in the available evidence.

    Beyond differences in reporting resolution and mineral coverage, the methodological quality of the studies also varied widely. The methodological and analytical quality assessment (Table S5) showed substantial variation among studies. Overall, analytical methods, sample description, and result reporting were generally well documented, whereas important weaknesses were identified in analytical quality-control procedures and sample representativeness.

    The limited use of certified reference materials or recovery studies to evaluate analytical accuracy (24/58 studies) was a particularly important finding. While several studies reported duplicate or triplicate analyses (36/58 studies), which provide information on analytical precision, fewer studies demonstrated analytical accuracy through validation procedures. This distinction is especially important because many studies aimed to determine compliance with nutritional recommendations. The absence of analytical accuracy validation thus reduces confidence in the absolute accuracy of some reported concentrations.

    Substantial variation in the procedures used to ensure sample representativeness was also observed. Most studies analysed only a single package of each product, whereas a minority combined multiple packages into composite samples (11/58 studies). Among the latter, some studies sampled packages from the same production batch, whereas others deliberately included different batches. Similarly, homogenisation procedures ranged from detailed protocols involving subsampling, grinding, pooling, and homogenisation (29/58 studies) to brief statements indicating only that samples were ground or milled (14/58 studies). Several studies did not provide any information about homogenisation. Because the representativeness of analytical results depends on both the original sample and the homogeneity of the analytical subsample, insufficient reporting of either sampling or homogenisation procedures reduces confidence that measured mineral concentrations accurately reflect the composition of the final product.

    Finally, the limits of detection or quantification were infrequently reported (19/58 studies). This limitation is unlikely to be important for the major minerals typically present at concentrations greatly exceeding analytical detection limits. However, it may be more important for trace minerals and potentially toxic elements, for which the analytical sensitivity directly influences the interpretation of non-detection and compliance assessments.

    Altogether, these methodological limitations should be considered when interpreting reported mineral concentrations and evaluating compliance with nutritional recommendations, as some of the variability observed across studies may reflect methodological differences rather than true differences between diets. Nevertheless, analytical studies provide a valuable but heterogeneous, unevenly distributed overview of mineral composition in dog and cat diets. While the available data enable identification of broad patterns and ranges of mineral variability, differences in study design, analytical quality-control procedures, sampling strategies, reporting resolution, and coverage across species and diet types limit direct comparability across dietary categories. These aspects are explored in the following sections, which examine dietary and physiological factors influencing mineral variability and adequacy.

    [图:Heatmap representation of mineral imbalances in dog and cat diets relative to FEDIAF 2024 guidelines. Each row represent]

    论文配图

    3.2. Macrominerals

    Regarding macromineral composition, differences in average concentrations between conventional and alternative diets were not consistent across studies and did not follow a uniform directional pattern. Both diet categories encompassed wide ranges of calcium and phosphorus values, with a substantial overlap. There was a similar lack of consistent differences between diet types for other macrominerals, including magnesium, sodium, and potassium, although the patterns were generally less pronounced than for calcium and phosphorus. By contrast, available information on chloride was scarce and insufficient to allow robust comparisons between diet categories.

    In this context, between-product variability, expressed as coefficients of variation (CVs), provided an additional measure for comparing mineral composition across dietary categories (Table 6). CVs varied among studies and minerals, although particularly high values for calcium and the calcium-to-phosphorus (Ca:P) ratio were observed in several alternative diet datasets. For example, CVs for calcium exceeded 60% in several RMBD datasets and were even higher in some home-prepared diet groups, reaching 128–134% in dog diets. Similarly, variability in the Ca:P ratio was also particularly pronounced in home-prepared diets, with CVs exceeding 100% in several subgroups. Nevertheless, this pattern was not uniform across all alternative diets, and conventional commercial diets also showed substantial variability for selected minerals. However, high variability was less consistently reproduced across independent conventional-diet studies. Overall, the pronounced variability observed in several alternative diet categories, together with the occurrence of both below- and above-recommended concentrations at the individual product level (Figure 2), indicates a greater potential for mineral imbalance.

    The heatmap analysis broadly supported this pattern, although the visual prominence of some deviations in conventional diets should be interpreted cautiously because several rows represent subgroups from the same study. In particular, the marked calcium and Ca:P deficiencies across protein-source categories were largely derived from a single study [48]. Other independent surveys of conventional commercial diets reported no calcium or phosphorus concentrations below recommended minimum values [40] or concentrations within permitted ranges [72], although specific problems, such as high phosphorus concentrations and low Ca:P ratios, were identified in subsets of commercial cat foods [67]. Given the critical role of Ca:P balance in skeletal development and bone metabolism, this variability represents one of the most nutritionally relevant differences between diet categories [72].

    Beyond analytical determinations, evaluations based on calculated nutrient intake from owner-formulated recipes further support this interpretation, showing that high variability in macromineral concentrations in alternative diets is not limited to isolated products but represents a recurrent feature across a large number of formulations, particularly for calcium, phosphorus, and the Ca:P ratio. In 95 owner-prepared bone and raw food rations, Dillitzer et al. [77] found that 60% contained at least one relevant nutritional imbalance; 10% supplied less than 25% of the recommended calcium allowance and had markedly low Ca:P ratios. Similarly, ration-based assessment by Hajek et al. [81] identified significantly more nutritional imbalances among dogs receiving RMBDs than among commercially fed controls. Together, these findings indicate that macromineral imbalance in alternative diets is not restricted to isolated analytical surveys but recurs across independent datasets and assessment approaches.

    Within the group of alternative diets, differences in macromineral concentrations were observed between specific subtypes. The calcium and phosphorus contents of raw meat-based diets were highly variable, with frequent imbalances in the Ca:P ratio, which may partly reflect the proportion and type of bone included in the formulation (Table 2 and Table 4). Consistent with this pattern, analytical studies reported substantial variability in calcium supply and disturbances of the Ca:P ratio in RMBDs [28,71]. Estimated-intake studies provide complementary evidence, showing that mineral imbalances also occur frequently in owner-formulated raw diets, including diets based on information obtained from non-specialist sources and diets incorporating commercial or natural supplements [77,81]. Importantly, RMBDs were not characterised by a uniform calcium deficiency: both deficient and excessive calcium supply and deviations of the Ca:P ratio in both directions were reported. Thus, the principal concern appears to be the unpredictability of calcium supply and Ca:P balance rather than a single directional deviation.

    Home-prepared diets showed one of the clearest patterns of macromineral inadequacy. While recommended levels of macrominerals were almost reached in some formulations, large deviations from these levels were observed in others, resulting in wide dispersion and high coefficients of variation [57]. As observed for RMBDs, large-scale assessments of home-prepared diet recipes based on estimated intakes further indicate that inadequate levels of macrominerals, particularly calcium and phosphorus, are highly prevalent and may be related to imprecise ingredient quantification and inadequate supplementation strategies [89,92].

    Plant-based diets require a more nuanced interpretation. Commercial plant-based formulations did not uniformly show poor macromineral adequacy, and their performance differed among studies and products. Nevertheless, deficiencies of calcium and phosphorus and disturbances of the Ca:P ratio were documented in several independent datasets, particularly in products formulated for growth or all life stages [25,33,73]. For example, in Dodd et al. [33], only two of seven plant-based dog foods intended for growth or all life stages met all FEDIAF minimum mineral recommendations, with calcium and phosphorus insufficiencies particularly evident among the wet products. In the Brazilian series evaluated by Zafalon et al. [73], all three vegan dog foods had Ca:P ratios below FEDIAF recommendations, while the single vegan cat food had a low Ca:P ratio; however, the small number of products limits generalisation from that study. These findings indicate that the nutritional adequacy of plant-based diets depends strongly on formulation and supplementation rather than on the absence of animal-derived ingredients per se.

    3.3. Microminerals

    Micromineral composition showed marked variability across studies and dietary categories, with differences between diet types in both mean values and variation (Table 3 and Table 5). The mean concentrations of microminerals in conventional maintenance diets were often within or close to recommended ranges, although substantial variability and both below- and above-recommended concentrations were reported for specific minerals and dietary subcategories. Thus, conventional diets did not show a uniform pattern of either deficiency or excess, and deviations appeared to be largely study-, mineral-, or product-specific (Figure 2).

    The micromineral profiles of alternative diets were highly heterogeneous, with wide ranges of mean values across studies and frequent deviations from recommended ranges (Figure 2). However, these deviations did not follow a consistent directional pattern. Deficiencies were prominent in several independent datasets, particularly for copper, iron, manganese, selenium, and zinc, whereas other studies reported excesses or a combination of concentrations below and above recommended levels. As observed for macrominerals, the mean values often masked substantial dispersion at the individual product level [28,57,71,73]. Consequently, differences between conventional and alternative diets were better characterised by the heterogeneity and recurrence of mineral imbalances across formulations than by consistently higher or lower mean micromineral concentrations. Assessment of the variability further emphasized these differences. Coefficients of variation for micromineral contents varied widely in both conventional and alternative diets. Very high CVs were also observed in individual conventional datasets, including Mn in [18], Zn in [44], and Se in [54], indicating that high variability was not exclusive to alternative feeding strategies (Table 6). Nevertheless, several alternative-diet datasets—particularly home-prepared and commercial homemade-style/RMBD formulations—showed high CVs simultaneously across multiple microminerals, suggesting less consistent mineral provision across products within these groups (Table 6). The heatmap analysis similarly showed both deficiencies and excesses in the two broad dietary categories, but deficiencies affecting several microminerals recurred across multiple independent alternative-diet studies (Figure 2). Thus, the principal distinction was not a simple conventional-versus-alternative difference in the direction of mineral concentrations, but rather the recurrence of broader, multielement imbalances in some alternative diet categories.

    Distinct micromineral patterns were also evident among alternative diet subtypes. Commercial home-made style/RMBDs formulations showed highly heterogeneous profiles, with both deficient and excessive concentrations reported for several trace elements, particularly copper and zinc, rather than a consistent directional pattern [28,71]. Home-prepared diets showed pronounced variability together with frequent deficiencies affecting multiple microminerals, especially iron, zinc, manganese, and copper [57]. This pattern was also supported by estimated-intake studies, in which multiple mineral inadequacies were common in owner-formulated diets for both dogs and cats [89,92]. Plant-based and vegan diets also showed considerable between-product variability, with adequacy depending strongly on formulation and supplementation rather than following a uniform pattern across products [33,73].

    3.4. Dietary Format and Processing: Dry Versus Moist Diets

    One of the features of conventional commercial diets most frequently examined in the reviewed studies is the influence of physical form, particularly the comparison between dry and wet formulations, which differ in composition and technological processing. This comparison has attracted attention due to concerns regarding differences in mineral concentrations and between-product variability. Several analytical studies included both dry and wet or canned foods within the same study [19,22,31,36,56,61,63,66,67,68]. Within-study comparisons are particularly informative because they reduce, although do not eliminate, heterogeneity related to analytical methods, geographical origin, and study design. Importantly, these studies differed in the method of expressing mineral concentrations, with values reported either on a dry matter or an as-fed basis. This aspect must be considered when interpreting apparent discrepancies between studies, as the moisture content affects both macro- and micromineral concentrations due to a dilution effect.

    When macrominerals were considered, some within-study comparisons showed higher concentrations of several elements in wet foods. Davies et al. [31] reported higher dry-matter concentrations of calcium, phosphorus, sodium, and potassium in wet than in dry foods for both dogs and cats. Similarly, Sgorlon et al. [61] found significantly higher calcium, phosphorus, sodium and potassium in moist canned than in dry extruded dog foods. However, this pattern was not consistent across all studies. Paulelli et al. [56] reported higher calcium, phosphorus, and magnesium in dry than in canned foods, although the unclear basis of expression limits direct interpretation of this contrast. Furthermore, in energy-normalised comparisons of commercial cat foods, Summers et al. [67] found no significant effect of food format on phosphorus or the Ca:P ratio, while canned foods contained significantly less magnesium than dry foods. A related study of senior cat foods similarly found no significant dry–canned differences in phosphorus, calcium, or Ca:P ratio, although magnesium was lower in canned foods [66]. Thus, dietary format was associated with differences in macromineral composition, but there was no uniform direction of effect across minerals or studies.

    The concentrations of microminerals were also highly element-specific. Paulelli et al. [56] reported significantly higher iron and selenium concentrations in canned foods for both dogs and cats, as well as higher copper and zinc concentrations in canned dog foods. In contrast, Sgorlon et al. [61] found significantly higher copper and zinc concentrations in dry extruded dog foods, whereas iron, manganese, and selenium did not differ significantly between formats. In cats, Summers et al. [68], using an energy-normalised basis, found no significant difference in copper between dry and canned foods, whereas zinc concentrations were significantly higher in dry foods; iron did not differ significantly between the two formats. Iodine showed a different pattern: Alborough et al. [19] found higher mean iodine concentrations and a wider range in wet than in dry cat foods. For selenium, Simcock et al. [63] found that wet cat foods had both higher and substantially more variable concentrations than dry cat foods and dog foods, whereas wet and dry dog foods showed similar selenium concentrations. The authors related the higher selenium concentrations in wet cat foods to the greater representation of seafood-based products, illustrating that an apparent association with dietary format may partly reflect ingredient composition. Overall, the available evidence does not support a general distinction in which wet foods are consistently richer or poorer in trace minerals than dry foods; rather, the direction and magnitude of the differences depend on the mineral, species, and formulation.

    Beyond differences in mean concentrations, variability also differed according to mineral and study, without a consistent pattern indicating greater dispersion in one feeding format (Table 6). Although wet foods showed higher coefficients of variation for several minerals in some datasets, the opposite occurred for others. For example, in Sgorlon et al. [61], wet dog foods showed higher CVs for calcium, phosphorus, potassium, copper, iron, manganese, and selenium, whereas dry foods were more variable for magnesium, sodium, cobalt, and zinc, and variability in the Ca:P ratio was similar between formats. Paulelli et al. [56] also showed marked differences in variability between dry and canned foods, but their direction depended on the mineral and species, while Duran et al. [36] reported substantially lower variability for iron in wet than in dry foods. Other studies likewise reported broad ranges of mineral concentrations in both formats [36,63]. Overall, substantial between-product variability occurs in both dry and wet foods, and the available evidence does not support interpreting either format as systematically more standardised than the other. The available evidence further illustrates the element-specific nature of deviations from mineral recommendations in dry and wet commercial diets. Within the studies represented, dry and wet foods showed different patterns of deviation from FEDIAF recommendations rather than a uniform advantage of one format over the other. For macrominerals, deviations in calcium and phosphorus occurred in both formats, with some wet-diet groups showing more frequent values above recommended levels, whereas below-range values were also observed in dry foods. Deviations in the Ca:P ratio similarly varied among species and dietary groups. Among microminerals, selenium showed some of the most marked format-related differences, with excess values occurring particularly in wet cat foods, while below-recommended concentrations were also observed in dry foods. In the heatmap, iodine showed a different pattern, with below-minimum concentrations occurring more frequently in dry cat foods in Alborough et al. [19], whereas wet foods included both below- and above-range values. Copper, iron, and zinc also showed heterogeneous patterns depending on species and study.

    Overall, the available data indicate that dry and wet commercial diets can differ substantially in mineral composition, but dietary format alone is not a reliable predictor of mineral concentration, variability, or nutritional adequacy. The observed differences are likely to reflect the combined influence of ingredient composition, formulation and supplementation practices, and the technological requirements associated with each format. Because the available studies did not experimentally separate these factors, specific effects of extrusion versus canning cannot be distinguished from the compositional differences between the products subjected to these processes.

    3.5. Ingredient Composition, Formulation Quality and Market Positioning

    Beyond diet category and format, ingredient composition and market positioning were also associated with differences in mineral composition. Several comparative studies addressed these factors, but their designs and classification criteria were heterogeneous, with some interpretations necessarily based on a limited number of studies, and the conclusions must therefore be interpreted with caution.

    Kępińska-Pacelik et al. [48] specifically evaluated the influence of the main animal-derived ingredient on mineral composition in conventional dry dog foods, classified according to fish, poultry, lamb, beef, mixed, and other sources. No clear clustering of diets according to ingredient type was observed when the overall mineral profile was considered. Indeed, principal component analysis indicated that the main animal source did not clearly explain the overall mineral profile and did not significantly affect mineral ratios, despite significant differences between ingredient groups for individual elements [48]. The absence of a clear ingredient-defined pattern is also evident in the heatmap (Figure 2), although the different ingredient categories represented there derive from the same study and should therefore not be regarded as independent evidence. Within this dataset, calcium concentrations were frequently below recommended levels across ingredient groups, whereas phosphorus was generally adequate or elevated, resulting in frequent disturbances of the Ca:P ratio. Thus, the main animal ingredient did not provide a reliable predictor of overall mineral adequacy.

    Brociek et al. [25] found broadly comparable mineral profiles between plant- and meat-based dog foods for most elements, although plant-based products contained more potassium and less iodine. Flavour- or ingredient-associated effects were also reported in other datasets, but again differed by element. Altınok-Yipel et al. [20] identified differences among wet cat foods labelled as salmon, tuna, liver, or other aquatic products, although no consistent pattern extended across all elements and interpretation was complicated by differences in life-stage designation. Seafood-flavoured foods had the highest selenium concentrations in Simcock et al. [63], whereas the presence of fish ingredients was not significantly associated with iodine concentration in Edinboro et al. [37], and Alborough et al. [19] similarly found no significant association between fish flavour and iodine concentration. Overall, these findings indicate that ingredient composition can influence individual minerals, but broad ingredient or flavour categories do not reliably predict the overall mineral profile or nutritional adequacy. Market price category has also been explored as a potential proxy for formulation strategy. From a consumer perspective, lower-priced products are often perceived as being of inferior quality, whereas premium and super-premium diets are commonly associated with superior nutritional value. However, evidence from three independent studies does not support a simple relationship between price or commercial tier and mineral adequacy [43,51,58]. Ivars et al. [43] compared super-premium, premium, and white-brand dog foods and found that all products met the minimum requirements for the nutrients assessed on an energy basis, despite a 66.9% difference in estimated daily feeding cost between the most expensive and cheapest products. Notably, one white-brand food had the highest calcium and phosphorus concentrations. Macías-Montes et al. [51] similarly found no consistent advantage of premium over low-cost foods: in dogs, iron and copper were higher in low-cost products whereas zinc was higher in premium products, with no significant differences for selenium or manganese; in cats, only iron differed significantly and was higher in low-cost products. Pereira et al. [58], using low- (≤€1.20/kg), medium- (>€1.20 to ≤€4.07/kg), premium- (>€4.07 to ≤€5.30/kg), and super-premium (>€5.30/kg) categories, likewise observed differences in mineral concentrations without a monotonic improvement with increasing price; low-priced diets had the highest mean calcium and phosphorus concentrations, whereas super-premium diets had the lowest mean values for both minerals. Commercial positioning may therefore be associated with different formulation strategies, but higher price does not ensure closer alignment with mineral recommendations. Taken together, these studies indicate that price or commercial tier is a poor proxy for mineral composition or nutritional adequacy and that the observed differences more likely reflect product-specific formulation and supplementation practices [43,51,58].

    Formulation practices and supplementation were also important determinants of the final mineral profile. In Kazimierska et al. [45], declared trace-element additives accounted for approximately 3–86% of the total analytically measured concentrations, indicating that both intrinsic mineral content of raw materials and added mineral sources contributed substantially to the final profile. This distinction was particularly evident in home-prepared diets. Pedrinelli et al. [57] found lower calcium concentrations and Ca:P ratios in non-supplemented dog and cat recipes, together with lower sodium and iron in non-supplemented feline diets; however, the presence of a supplement alone did not ensure nutritional adequacy, and increasing the number of ingredients likewise did not guarantee a balanced formulation. Estimated-intake evidence supports the same interpretation: feline recipes written by veterinarians, as well as recipes including vitamin–mineral supplements, contained fewer nutrients below NRC recommended allowances than recipes from non-veterinary sources or those without supplements; nevertheless, none of the evaluated recipes met all recommended allowances [92]. Together, these findings indicate that formulation quality depends not simply on the presence of particular ingredients or supplements, but on their quantitative integration within the complete diet.

    However, interpretation of apparent mineral oversupply based on total concentrations alone should also consider bioaccessibility and bioavailability. The fraction of a mineral released from the food matrix and subsequently absorbed may vary according to its chemical form, ingredient matrix, interactions with other dietary components, and source of supplementation [93,94,95]. Consequently, concentrations exceeding recommended levels do not necessarily translate into a proportional increase in biologically available mineral [93,94]. This distinction has been demonstrated directly in pet foods: simulated gastric extraction released substantially lower proportions of several minerals than total acid digestion [93], while selenium accessibility differed according to diet composition and processing [94]. In vivo evidence further indicates that mineral utilization cannot always be predicted from dietary intake alone, as demonstrated for selenium in canned versus kibble diets [96] and for organic versus inorganic zinc sources in dogs [95]. This does not eliminate the potential relevance of chronic oversupply, particularly for elements with established maximum levels or a propensity for tissue accumulation, but highlights the limitations of assessing nutritional adequacy solely from total mineral concentrations. Most studies included in the present review quantified total mineral concentrations rather than directly assessing bioaccessibility or absorption; therefore, the extent to which differences in total concentrations translated into differences in biologically available mineral could generally not be determined.

    Altogether, these studies highlight that ingredient choice, formulation control, and market positioning all contribute to the variability in mineral composition, but none provides a reliable standalone proxy for overall mineral adequacy. Ingredient-related effects were predominantly element-specific rather than reflecting a consistent advantage of any particular ingredient category. Likewise, premium positioning or higher price did not consistently correspond to a more favourable mineral profile. Consistent mineral supply therefore appears to depend on the combined effects of raw-material selection, quantitative formulation, appropriate supplementation, and quality assurance throughout the production process.

    3.6. Physiological Context and Feeding Level

    Physiological status and feeding level represent critical but often underappreciated determinants of mineral adequacy in companion animal diets. Mineral requirements vary substantially across life stages and physiological states, including growth, gestation, lactation, and adult maintenance. They may also be further modified under conditions of energy restriction or disease. Dietary strategies designed to support specific physiological functions or clinical outcomes can therefore alter both mineral intake and long-term exposure. Despite the broad range of physiological contexts that may influence mineral requirements, available analytical evidence in companion animals remains limited, with studies focusing primarily on growth, ageing, energy-restricted feeding, and selected pathological conditions.

    Analytical evidence specifically addressing mineral adequacy across physiological life stages is relatively limited but is not restricted to growth. Alvarado et al. [21] evaluated 26 commercial dry diets formulated for growing dogs and found that 96.2% met recommended concentrations for calcium, phosphorus, and magnesium, whereas adequacy was less frequent for sodium and zinc (80.8%) and particularly potassium (34.6%). Overall, only 23% of the diets fulfilled all evaluated AAFCO nutrient specifications. Precise formulation is important as skeletal development during growth is highly sensitive to the Ca:P ratio. Additional evidence from Mielczarek and Szydłowski [52] showed different mean concentrations of copper, iron, and zinc between junior and adult dog foods, further illustrating that products marketed for different life stages may differ in mineral profile.

    Life-stage classification itself also influences the interpretation of adequacy. In the FEDIAF-based assessment of the insect-based products reported by Ryu et al. [60], foods formulated for adult maintenance showed relatively few macromineral deviations, whereas products labelled for all life stages showed substantially more deviations when assessed against the more demanding growth/reproduction profile, particularly for calcium, phosphorus, and the Ca:P ratio. This illustrates the importance of applying a reference profile that corresponds to the intended life stage rather than interpreting a product against adult-maintenance criteria alone.

    Evidence is also available for diets marketed for older animals. Summers et al. [66] found no significant differences in the concentrations of phosphorus, calcium, magnesium, sodium, or potassium between foods marketed for senior and adult cats; all senior foods met AAFCO adult-maintenance minimum values for the minerals evaluated. However, substantial within-category variability remained. Similarly, manufacturer-reported data for 37 commercial senior dog foods showed a wide sodium range and an approximately three-fold range in phosphorus concentrations [82]. Thus, a “senior” designation does not appear to correspond to a standardized mineral profile. Dietary management of obesity and weight loss may introduce a distinct risk of mineral inadequacy, particularly because reduced feeding levels can decrease absolute mineral intake even when diet composition appears adequate. Studies evaluating commercial weight-loss diets for dogs have demonstrated that, when feed rations are restricted to achieve a caloric deficit, the absolute intake of selected minerals may fall below recommended levels [50,54]. This distinction was particularly evident in Luís et al. [50], whose diets were generally adequate when evaluated on a compositional basis, whereas estimated intake during energy restriction identified shortfalls particularly for magnesium and potassium. Olivindo et al. [54] similarly found that seven of eight veterinary weight-loss diets supplied at least one nutrient below NRC and FEDIAF recommendations under several modelled restriction scenarios, with calcium, magnesium, potassium, selenium, and sodium among the minerals affected.

    Importantly, this apparent discrepancy highlights a fundamental limitation of concentration-based nutritional assessment. Evaluations based on heatmap analysis capture dietary formulation and relative mineral density, whereas intake-based studies account for real feeding levels and physiological context. The same pattern is supported by several intake-based studies [79,80,84,86]. In the theoretical analysis by Linder et al. [86], none of the five diets was inadequate when expressed per 1000 kcal, yet every diet supplied at least one essential nutrient below the NRC recommended allowance when energy intake was reduced to 79 kcal/kg BW^0.75/day, with selenium among the nutrients most frequently affected. German et al. [79] likewise found that selenium, magnesium, and potassium intakes could fall below NRC recommended allowances during long-term canine weight loss, although—with few exceptions—essential nutrients remained above minimum requirements and no clinical signs of mineral deficiency were observed. With more moderate restriction, Keller et al. [84] identified selenium and potassium intakes below NRC recommendations only in a minority of dogs and cats. Cats show a similar distinction between recommended intake and overt deficiency. In German et al. [80], selenium intake was below NRC recommendations in a substantial proportion of cats and below FEDIAF recommendations in 72%, whereas potassium was below recommendations in only a small proportion. Taken together, these studies support describing such findings as potential intake inadequacy rather than established mineral deficiency. The likelihood of an inadequate intake depends on the degree of energy restriction, the nutrient density of the diet, the species, and the duration for which restricted feeding is maintained. Whether similar concerns apply to long-term maintenance at chronically low energy allowances remains insufficiently studied. The strongly context-dependent nature of mineral adequacy in companion animal diets is further illustrated by pathological conditions and therapeutic feeding. In these contexts, diets are intentionally formulated to modify mineral supply in accordance with specific clinical objectives and therefore purposely differ from standard maintenance recommendations. Analytical studies have evaluated renal, hepatic, gastrointestinal, hypoallergenic, urinary, obesity-management, and enteral diets in dogs and cats [23,25,40,55,59], although study designs and clinical indications differ considerably.

    Diets formulated for renal support provide one of the clearest examples of purposeful modification of mineral composition. Brociek et al. [25] found lower calcium, phosphorus, magnesium, iron, and selenium concentrations in renal-support dog foods than in the other dietary groups; importantly, calcium and phosphorus were excluded by the authors from their overall compliance assessment because their reduction was intentional. Gagné et al. [40] similarly found Ca:P ratios above maintenance recommendations in therapeutic renal foods, while Or et al. [55] reported significantly lower calcium and phosphorus concentrations across prescription dog-food groups than in non-prescription controls. In cats, Bilgiç et al. [23] also found significantly lower phosphorus in renal diets than in non-prescription foods, with 20% of renal products falling below the general FEDIAF minimum used for comparison. The authors explicitly noted that low phosphorus was expected in renal formulations.

    Accordingly, deviations shown for prescription diets in Figure 2 should be interpreted as departures from general nutritional reference ranges rather than automatically as evidence of inappropriate therapeutic formulation. When measured against general nutritional guidelines, such diets may appear imbalanced; however, some deviations may reflect purposeful formulation strategies aligned with disease-specific nutritional goals and should not automatically be interpreted as formulation errors. This highlights the limitations of applying uniform adequacy criteria across fundamentally different feeding contexts and underscores the need for condition-specific reference frameworks.

    Importantly, chronic kidney disease is not managed exclusively through commercial prescription diets. Home-prepared diets are also used for dogs and cats with chronic kidney disease, including for individualized nutritional management [85]. However, Larsen et al. [85] found that none of the 67 evaluated recipes met all NRC recommended allowances. Selenium, zinc, and calcium were among the minerals most frequently below recommendations, with substantial differences among recipes. Although these findings are derived from estimated nutrient intakes rather than direct chemical analyses, they provide valuable insight into real-world feeding practices and reinforce the need for careful formulation and professional monitoring of the use of therapeutic home-prepared diets.

    Beyond renal disease, other pathological conditions further highlight the clinical relevance of long-term mineral exposure. Copper restriction provides a clear example of intentional therapeutic modification. Gagné et al. [40] found copper concentrations below maintenance recommendations in two diets formulated for dogs with hepatic disease, consistent with their intended use in copper-storage disorders. Similarly, Poblanno Silva et al. [90] described successful formulation of a complete home-prepared diet with moderately low copper for a dog with suspected copper-associated hepatopathy, while also illustrating that reducing one mineral without appropriate overall formulation may create other nutrient deficiencies.

    Condition-specific differences extend beyond renal and hepatic diets. Or et al. [55] identified distinct mineral profiles among hepatic, renal, gastrointestinal, and hypoallergenic dog foods, with differences involving copper, iron, manganese, calcium, and phosphorus. In cats, Bilgiç et al. [23] likewise found different patterns among gastrointestinal, renal, urinary, and obesity-management diets, including substantial between-group variation in calcium, phosphorus, zinc, and selenium. These findings demonstrate that prescription diets cannot be treated as a nutritionally homogeneous category and that deviations from general maintenance recommendations must be interpreted in relation to their clinical indication.

    The available evidence indicates that assessment of mineral adequacy in therapeutic diets requires a framework that explicitly accounts for clinical indication, intended duration of use and feeding level. Evaluating prescription or therapeutic diets outside their disease-specific context may lead to misleading conclusions regarding nutritional adequacy, while prolonged or inappropriate application—whether of commercial or home-prepared formulations—may increase the risk of secondary mineral imbalances. The potential consequences of using a therapeutic diet outside its intended physiological context are illustrated by McMillan et al. [87], in which feeding a renal diet to a growing puppy was associated with low phosphorus supply, an increased Ca:P ratio, reduced bone mineralization, and clinical rickets. This reinforces the need for integrated assessment approaches that consider physiological status, health condition and real-world feeding practices when evaluating mineral balance and long-term exposure in dogs and cats.

    3.7. Potentially Toxic Elements

    Compared with the extensive literature addressing essential minerals, evidence regarding potentially toxic elements in pet foods remains relatively limited and heterogeneous in design and interpretation. Twenty-seven analytical studies provided relevant information on potentially toxic elements, of which 23 could be represented in the semi-quantitative heatmap (Figure 3). The studies covered a wide geographical range and varied markedly in sample size, food type, analytical scope, and, importantly, in the toxicological or regulatory frameworks used to interpret the measured concentrations. The reference frameworks were not uniform across studies. Depending on the investigation, concentrations were evaluated against European feed legislation, national pet-food standards, FDA- or NRC-derived maximum tolerable levels, human-derived toxicological reference values, or study-specific exposure metrics such as target hazard quotients or acute hazard indices. For chromium and nickel in particular, several studies measured concentrations without having a directly applicable regulatory maximum for complete pet foods. Consequently, the classifications represented in Figure 3 should be interpreted relative to the reference framework applied in each individual study rather than as a harmonised measure of regulatory non-compliance across all studies. Among the elements investigated, analytical coverage was uneven, with cadmium, chromium, lead, and mercury represented in a relatively large number of studies and arsenic, nickel, or individual element combinations assessed less consistently. Because analytical details differed greatly among studies, the occurrence and toxicological relevance of the evaluated elements were assessed using a semi-quantitative heatmap (Figure 3). This approach identifies reported exceedances or toxicological concern and, when available, the proportion of products exceeding the applicable study-specific reference threshold, thereby providing an overview of reported exceedance patterns across the available literature.

    [图:Heatmap summarizing the available quantitative evidence on potentially toxic elements (As, Cd, Cr, Ni, Hg, and Pb) in co]

    论文配图

    Overall, the available evidence suggests that concentrations of potentially toxic elements in commercial pet foods were frequently below the toxicological or regulatory references applied by the individual studies, but this pattern was not universal. Most study–element combinations with interpretable benchmarks showed either no exceedances or relatively low proportions of affected products, whereas a smaller number of studies accounted for the more conspicuous signals in Figure 3. Mercury and lead produced some of the strongest study-specific concerns. For example, Kalicharan et al. [44] reported exceedances of the applied maximum tolerable levels in 38.7% of foods for mercury and 12.9% for lead, while Silva et al. [62] found one of ten wet cat foods above the European mercury limit. Luippold et al. [49] reported that 13.9% of foods exceeded the comparative 100-ng/g mercury advisory benchmark used in that study, although this was not a pet-food regulatory limit.

    The most extreme pattern was reported by Zafalon et al. [74], in which all 100 commercial foods exceeded the FDA-derived maximum tolerable level used for mercury and 67% exceeded the reference applied for lead. This result should not, however, be extrapolated to commercial pet foods as a whole, because similarly high exceedance rates were not consistently reproduced in other datasets and the toxicological benchmarks differed among studies. Zafalon et al. reported mean Hg concentrations well above the MTL they applied and found substantially different patterns between individual toxic elements. Conversely, several surveys reported no relevant benchmark exceedances or toxicological concern for the elements assessed, including studies from Turkey, Poland, Costa Rica, Portugal, and the USA [20,45,53,58,64]. Thus, Figure 3 indicates marked between-study heterogeneity rather than a uniform contamination problem.

    Chromium and nickel also require a cautious interpretation. Both were undetectable or below levels of concern in several studies [45,46,48,58], but this pattern was not universal. Du et al. [34] reported chromium concentrations above the Chinese pet-food standard in 25 of 93 products (26.9%), while Kalicharan et al. [44] reported nickel above the study-specific maximum tolerable level in 2 of 31 products.

    The association between elevated concentrations of potentially toxic elements and the inclusion of specific animal-derived ingredients is a recurring observation across several studies. Diets containing fish or fish-derived ingredients were more frequently associated with increased concentrations of arsenic and mercury, and in some datasets cadmium, particularly in the study by Kim et al. [47], where fish-based dog foods contained significantly higher As, Cd, and Hg concentrations than poultry- or red-meat-based foods. Luippold et al. [49] also found that all foods exceeding 100 ng/g Hg contained fish as a primary ingredient, with the highest concentrations occurring primarily in wet cat foods. Macías-Montes et al. [51], although not represented quantitatively in Figure 3 because their risk assessment was based on group-level exposure metrics, similarly found significantly higher arsenic and mercury concentrations in fish-based foods.

    However, fish ingredients were not a universal predictor of mercury exposure. Sires et al. [64] detected total mercury in only three of 24 canine diets, two of which contained no declared fish ingredients, and concluded that common sources of mercury could not reliably be attributed to seafood. Similarly, Dunham-Cheatham et al. [35] found no single ingredient that consistently explained mercury concentrations when label information and DNA metabarcoding were considered together, although fish DNA was identified in some products with unexpectedly high mercury concentrations. Ingredient source therefore appears to be associated with contaminant exposure, particularly for arsenic and mercury, but labelled flavour or protein source alone is not sufficient to predict the toxic-element profile of an individual food.

    Other raw materials may also contribute. Zafalon et al. [74], who analysed ingredients separately from the complete foods, found that animal by-products generally contained higher concentrations of potentially toxic elements than plant-based protein ingredients, while substantial differences were also observed among carbohydrate and fat sources. These findings support an important role for raw-material selection and provenance rather than a simple distinction between animal- and plant-derived ingredients.

    No consistent directional effect of food format was evident across the full evidence base. Some mercury-focused studies found that several of the highest or benchmark-exceeding concentrations occurred in cat foods, particularly wet cat foods [35,49], whereas other large studies reported the opposite pattern for several elements. Du et al. [34] found higher mean Pb, Cd, Cr, and As concentrations in dry than in canned foods, with Pb and Cr exceedances confined to dry products, while Zafalon et al. [74] reported higher concentrations of most potentially toxic elements in dry foods. Haydous et al. [42] likewise found higher concentrations of several elements, including Pb, in dry foods, although Cd was higher in wet foods. These contrasting findings indicate that food format itself is unlikely to be a sufficient explanation for contaminant concentrations. Differences in raw materials, geographical origin, supplementation, processing, and other formulation characteristics may all contribute, and their effects cannot generally be separated with the available observational data.

    Accordingly, the current evidence does not support describing benchmark exceedances or toxicologically concerning concentrations of potentially toxic elements as a widespread feature of commercial pet foods or an issue confined to a particular diet format. Rather, most datasets showed low or limited concern, alongside a smaller number of studies or products with marked benchmark exceedances. The heterogeneity in analytical methods and toxicological reference values also means that apparently large differences between studies should be interpreted cautiously. Continued surveillance therefore remains warranted, particularly for mercury, lead, arsenic, and chromium, and would benefit from greater harmonisation of pet-specific toxicological reference values and reporting approaches.

    The toxicological relevance of total element concentrations may also depend on chemical speciation and species-specific mineral handling. Alborough et al. [97] reported higher renal and urinary arsenic concentrations in domestic cats than in dogs and wildcats; however, renal arsenic concentrations were not associated with chronic interstitial nephritis. Notably, arsenobetaine, an organic arsenic species of relatively low toxicity, was the predominant arsenic form identified in the pet foods evaluated. A similar issue applies to mercury speciation. Dunham-Cheatham et al. [35] found that, although three commercial foods exceeded the comparative reference used for total mercury, estimated methylmercury exposure remained below the NRC chronic exposure level applied by the authors. Sires et al. [64] likewise found methylmercury in only one of 24 canine diets and estimated that the measured concentrations were unlikely to represent a chronic toxicological risk in healthy adult dogs. Thus, total concentrations provide an important screening measure but do not necessarily define the biological or toxicological significance of exposure without information on chemical form, intake, and species-specific handling. These findings further illustrate the limitations of interpreting potential toxicological risk solely from total elemental concentrations.

    3.8. Limitations and Future Directions

    This review also has several limitations that should be acknowledged. The available evidence was highly heterogeneous with respect to study design, dietary categories, minerals evaluated, units of expression, analytical methods and reporting approaches, limiting direct quantitative comparisons across studies and preventing a formal meta-analytic synthesis. Furthermore, many studies reported only summary statistics rather than individual diet values, which restricted some aspects of the comparative analysis and limited inclusion in components of the synthesis that required diet-level data, such as the heatmap assessment of mineral adequacy. The heatmaps should therefore be interpreted as descriptive visual syntheses rather than pooled estimates of the prevalence of mineral inadequacy or toxic-element benchmark exceedance. In Figure 2, each row represents a study or a subgroup within a study; consequently, several visually prominent rows may originate from the same dataset and should not be interpreted as independent replication of a finding. Differences in sample size among rows were also not used to weight their visual contribution. Similarly, the CV analysis in Table 6 was restricted to studies reporting mean and SD, or for which these statistics could be directly derived, and therefore does not provide a complete assessment of between-product variability across the entire evidence base.

    Beyond these review-level limitations, important limitations were also identified in the available evidence. Despite the increasing number of studies addressing mineral composition in companion animal diets, important limitations continue to constrain the interpretation and generalization of the available evidence. Analytical data remain unevenly distributed across species, diet types, and physiological contexts. While commercial maintenance diets for dogs and cats are comparatively well represented, analytical information for alternative feeding practices, therapeutic formulations, and specific life stages, particularly gestation, lactation, and ageing, remains limited. This imbalance restricts robust cross-diet comparisons and hampers evaluation of long-term mineral adequacy in less standardized feeding scenarios.

    The high degree of methodological heterogeneity among studies poses a major challenge for synthesizing existing evidence. Although numerical units were harmonised across studies, differences in the underlying basis of expression (dry matter, as-fed or energy-normalised) remained when exact conversion was not possible without additional assumptions, limiting direct quantitative comparison across all studies. Furthermore, the representativeness of analysed samples varied widely among studies, with differences in the number of packages evaluated, the inclusion of single or multiple production batches, and the level of detail provided regarding sample preparation and homogenisation. Together, these factors may contribute to part of the variability observed across the literature and affect confidence in reported mineral concentrations. Moreover, mineral concentrations are frequently reported without adequate consideration of feeding level or dietary purpose, increasing the risk of misinterpretation when diets are assessed outside their intended physiological or clinical context.

    In addition, dietary composition is rarely considered along with actual mineral intake, particularly in contexts other than standard maintenance conditions. Most analytical studies assess mineral composition independently of actual food intake. By contrast, intake-based investigations demonstrate that reduced food allowance, such as during weight-loss programmes, can result in absolute mineral intakes below recommended allowances even when the composition of the food itself appears adequate. Therapeutic diets pose a different interpretative challenge because their mineral profiles may be intentionally modified for a specific clinical purpose and may therefore deviate from general maintenance recommendations without representing inappropriate formulation. Intake-based evidence remains less common than compositional analysis, and long-term studies linking altered feeding levels or therapeutic formulation with mineral status and clinical outcomes are particularly limited. This highlights the need for integrated approaches that jointly consider formulation strategy, feeding level and long-term exposure.

    Potentially toxic elements present a different limitation. Although a substantial number of analytical studies have measured arsenic, cadmium, chromium, nickel, mercury, lead, and related elements, the evidence remains difficult to integrate because studies used markedly different regulatory limits, maximum tolerable levels, toxicological reference values, and exposure-based risk metrics (Figure 3). For chromium and nickel in particular, directly applicable pet-food regulatory limits were not available in several of the frameworks used. Moreover, detection of an element, exceedance of a study-specific benchmark, and demonstration of an actual toxicological risk are not equivalent outcomes. Consequently, the available evidence does not yet allow a harmonised quantitative assessment of chronic exposure risk across commercial pet foods. Establishing species-specific toxicological thresholds through controlled dose–response studies in companion animals may be ethically and practically constrained. Future evidence may therefore need to rely more heavily on observational studies, biomonitoring, clinical data, toxicokinetic information, chemical speciation, and cautious extrapolation from other species.

    Beyond total mineral concentrations, current evidence largely overlooks mineral bioaccessibility and bioavailability. Apparently similar total concentrations do not necessarily imply equivalent mineral utilization, and concentrations exceeding recommended levels do not necessarily produce a proportional increase in biologically available mineral. Conversely, this uncertainty should not be interpreted as evidence that chronic oversupply is harmless, particularly for minerals with established maximum levels. Overall, the limited information on mineral speciation, bioaccessibility, and bioavailability remains an important source of uncertainty when nutritional adequacy is inferred solely from total mineral concentrations.

    Finally, greater attention should be directed toward trace elements, such as zinc and selenium, with well-established roles in immune regulation, oxidative balance, and cellular homeostasis. While commercial diets are generally formulated to meet current nutritional recommendations, information on whether sustained variability or marginally inadequate levels of trace elements may influence the progression or management of chronic conditions characterized by low-grade inflammation is limited. Addressing this question will require integrated approaches combining dietary assessment, biomarkers of mineral status, and clinically relevant outcomes, rather than isolated evaluation of dietary concentrations.

    Future research would benefit from a more holistic framework integrating analytical composition, feeding level, physiological status, bioavailability, and long-term exposure. Harmonization of analytical methods, validation procedures, sampling strategies, and reporting standards, together with increased focus on underrepresented diets, life stages, and health conditions, will be essential to advance the understanding of mineral adequacy and safety in companion animal nutrition.

    4. Conclusions

    The findings of this systematic review highlight that mineral composition and adequacy in dog and cat diets vary in relation to diet type, formulation strategy, processing format, and feeding context, whereas the influence of processing format appears to be more element- and study-specific. Differences in average mineral concentrations between conventional and alternative diets did not follow a uniform directional pattern, and substantial variability was observed in both categories. Nevertheless, recurrent multielement imbalances were documented across several independent alternative-diet datasets, especially in home-prepared diets and some RMBD and plant-based formulations, while particularly high variability in calcium, phosphorus, and the Ca:P ratio was observed in several home-prepared and RMBD datasets. In conventional commercial diets, mineral deviations were also observed, but tended to be more study-, product-, or element-specific. Market positioning or price did not consistently predict improved mineral balance. Ingredient composition influenced particular minerals, but broad ingredient or flavour categories likewise did not reliably predict overall mineral adequacy.

    Potentially toxic elements showed a similarly heterogeneous pattern. Most study–element combinations with interpretable benchmarks indicated limited or no toxicological concern, whereas a smaller number of datasets showed substantial exceedances, particularly for mercury and lead. Ingredient composition, especially the use of fish-derived raw materials for some elements, was associated with contaminant concentrations in several studies, but neither ingredient category nor dry versus wet format consistently predicted toxic-element exposure. Importantly, these findings demonstrate that mineral adequacy cannot be reliably assessed solely on the basis of compositional data. Intake-based evidence shows that feeding level and physiological or clinical context can substantially modify nutritional adequacy. Energy restriction during weight-loss programmes may reduce absolute mineral intake despite apparently adequate nutrient concentrations, whereas therapeutic diets may intentionally deviate from general maintenance recommendations to achieve disease-specific nutritional objectives. Altogether, this evidence supports the need for integrated assessment frameworks that account for both dietary concentrations and practical feeding regimes. Interpretation of the available literature should also consider the methodological heterogeneity among studies, particularly regarding analytical validation and sample representativeness, basis of expression, and availability of individual diet-level data.

    Future research should prioritize harmonized analytical approaches, improved reporting standards, and expanded coverage of underrepresented diets, life stages, and pathological conditions, in order to support evidence-based nutritional guidance and enhance long-term health outcomes in companion animals.

    Acknowledgments

    Belén Larrán received an FPU fellowship (Ref. FPU21/01742) from the Spanish Ministry of Education, Culture and Sports. Belén Larrán, Marta López-Alonso, Inmaculada Orjales and Marta Miranda belong to Grupo de Potencial Crecimiento financed by GAIN (Axencia Galega de Innovación; grant number ED431B 2023/008). During the preparation of the manuscript, the authors used ChatGPT (GPT-6, OpenAI) to improve readability and grammar. The authors have reviewed and edited the output and take full responsibility for the content of this publication. All scientific concepts, analyses, conclusions, and interpretations were developed by the authors.

    Abbreviations

    The following abbreviations are used in this manuscript:

    AAFCOAssociation of American Feed Control Officials
    Ca:PCalcium-to-phosphorus ratio
    FEDIAFEuropean Pet Food Industry Federation
    RMBDsRaw meat-based diets
    SDStandard deviation

    Supplementary Materials

    The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/ani16203261/s1, Supplementary File S1: Database search strategies; Table S1: Overview of analysis-based studies assessing mineral intake or adequacy in dog and cat diets; Table S2: Overview of estimated-based assessing intake or adequacy in dogs and cat diets; Table S3: Minimum and maximum recommended macro- and micromineral levels for dogs according to FEDIAF and AAFCO guidelines.; Table S4: Minimum and maximum recommended macro- and micromineral levels for cats according to FEDIAF and AAFCO guidelines; Table S5: Methodological and analytical quality assessment of studies reporting mineral concentrations in complete dog and cat diets.

    [内容请查看原文]

    Author Contributions

    Conceptualization, M.L.-A., B.L. and M.M.; methodology, M.L.-A. and B.L.; investigation, M.L.-A., N.F., B.L., I.O. and M.M.; data curation, M.L.-A., B.L. and N.F.; writing—original draft preparation, M.L.-A., B.L. and N.F.; writing—review and editing, I.O. and M.M.; supervision, M.L.-A. and M.M. All authors have read and agreed to the published version of the manuscript.

    Institutional Review Board Statement

    Not applicable.

    Informed Consent Statement

    Not applicable.

    Data Availability Statement

    The data that support the review findings are available from the corresponding author upon request.

    Conflicts of Interest

    The authors declare no conflicts of interest.

    Funding Statement

    This research was carried out within the IMedA research group of the University of Santiago de Compostela (USC) that belongs to the “Grupo de Potencial Crecimiento” funded by GAIN (Axencia Galega de Innovación; grant number ED431B 2023/008).

    Footnotes

    [内容请查看原文]

    References

    [内容请查看原文]

    Associated Data

    Supplementary Materials

    [内容请查看原文]

    Data Availability Statement

    The data that support the review findings are available from the corresponding author upon request.

    本文为开放获取(Open Access)文章,全文转载自 Europe PMC,遵循原许可协议(cc by); 来源:Animals : an open access journal from MDPI · DOI: 10.3390/ani16203261,版权归原作者及出版方所有;中文为机器翻译,临床术语以英文原文为准。 查看原文 ↗

    跳转原文 ↗ 返回列表

    快捷键 S 一键收藏本文,收藏内容在 我的收藏 查看;PubMed 位于境外,直接访问原文可能需要国际网络环境,站内摘要无需翻墙即可阅读。

    采集时间:2026-10-31 03:00:50 · 中文解读将在编辑审核后另行发布,未经审核的自动标注不构成临床依据。