Heavy metals in Infant Formula

Provisional scaffold. This page was created automatically on 2026-05-28 so that an ingested source could route to it. The HMTc taxonomy row, clean/contaminated pairing, primary metals of concern, and detailed scope have not yet been locked. Content below is minimal until a synthesis pass or taxonomy review consolidates the literature for this product class.

Reason: heal-gaps: routing_unresolved entry from source signes-pastor2018-infants-dietary-arsenic-solid-food declared product/infant-formula, no close-slug match

Triggering source: Infants' dietary arsenic exposure during transition to solid food

Literature scope

Reported measurements from source notes are below. Sections that are still empty have not been synthesized into a population estimate. Certification thresholds for products in this row are developed under the certification program at heavymetalcertified.com, not on this public page.

Who this page is for

Pending. The brand-legal, retailer-compliance, HMTc-internal, and regulator audiences are listed; this section will frame what each is looking for on this page.

Evidence summary

Evidence summary

The table below summarizes what the peer-reviewed and government literature cited on this page reports for heavy-metal concentrations in Infant Formula. Values are pulled directly from cited sources without re-aggregation. This page publishes literature evidence only, not certification thresholds.

Methodology rules for speciation, basis preservation, non-detect handling, and source pooling are stated in the Methodology section above and apply to every row below.

Source Evidence Inventory

Hand-curated section. Populated by the synthesis pass as sources contribute.

Supporting evidence and scope

Pending: regenerated by tools/evidence/apply-product-broad-context.mjs once broad-scope sources route to this page.

Federal/Regulatory Limits vs Field Findings

Pending: regenerated by tools/apply-product-crosswalk-sections.mjs once applicable_regulations are identified and field-finding evidence is pooled.

Controls and mitigation

Pending synthesis. Practical interventions to reduce heavy-metal load — ordered by impact magnitude across sourcing, agronomic, processing, formulation, testing-QC, and packaging-storage levers — will be populated from contributing ingredient pages’ Mitigation options sections and the relevant mitigation/ pages. The Levers section is the brand-legal-actionable surface of this page.

Reported measurements

Höpfner and colleagues report BfR MEAL powdered infant formula, upper bound, µg/kg dry weight unless noted. Inorganic arsenic 4.55 (German food monitoring mean 20.0, all at the limit of quantification). Cadmium 4.00 (monitoring 5.94, range 1.00 to 17.0). Chromium 32.8 (monitoring 78.5, range 3.50 to 200). Lead 4.00 (monitoring 9.99, range 1.00 to 20.0). Manganese 840 (monitoring 1,182, range 50.0 to 3,533). Mercury 3.00, all below the limit of quantification (monitoring 1.57, range 1.00 to 3.14). Nickel 78.8 (monitoring 156, range 8.00 to 600). Selenium 130 (monitoring 211, range 11.8 to 420). Zinc 40.0 mg/kg (monitoring 35.4 mg/kg, range 0.30 to 55.7). The note cites an EU maximum level for cadmium in powdered infant formula from cow’s milk of 10 µg/kg. That maximum is the note’s cited EU comparator. The contribution of infant formula to the food survey-based dietary exposure of nine selected elements

Demir and colleagues report powdered infant formula in the units the note prints. Aluminum overall average about 1.755 +/- 0.708 ug/g, range 0.08 to 7.93 ug/g. Manganese range 0.242 to 20.828 ug/g. Copper detected in all formulas, highest anonymized product-group mean 2.637 ug/g. Zinc range 16.148 to 69.179 ug/g. Total arsenic overall average about 0.529 mg/kg, with the three highest anonymized product-group means 1.325, 1.080, and 0.931 mg/kg. Cadmium was not detected in one sample, was below the source-cited limits in 61 samples (85 percent), and nine samples (12.5 percent) exceeded the cited infant-formula limit. Tin was not detected in 14 of 16 anonymized brand groups. Lead overall average about 0.071 ug/g, range 0.010 to 0.141 ug/g. Total mercury overall average about 0.0086 +/- 0.003 ug/g, range 0.0035 to 0.0155 ug/g. The note’s cited limits include zinc 36 mg/kg and tin 50 mg/kg. Those limits are the authors’ comparators. “About” is the note’s word. Estimated daily intake and health risk assessment of toxic elements in infant formulas

Dehghani and colleagues, two infant dry formula milk samples, dry weight: lead 1.35 to 3.86 ug/g (the note also prints 1,350 to 3,860 ppb) and cadmium 0.02 to 0.03 ug/g (the note also prints 20 to 30 ppb). Black tea, rice, and cow milk in the same note are not infant formula and are not repeated here. Magnetic Multi-Walled Carbon Nanotubes Modified with Polythiophene as a Sorbent for Simultaneous Solid Phase Microextraction of Lead and Cadmium from Water and Food Samples

Meyer and colleagues report hydrolysed rice infant formula, dry powder. Arsenic(V) across 10 batch-level measurements ranged 9 to 20 µg/kg. Dimethylarsinic acid ranged 2 to 19 µg/kg. The sum of arsenic(V) and dimethylarsinic acid ranged 11 to 35 µg/kg. The note prints a limit of detection of 0.0003 mg/kg, which it also states as 0.3 µg/kg. The authors cite a WHO exposure benchmark of 2 µg/kg body weight per day and EFSA-reported background dietary inorganic arsenic of 0.24 to 0.43 µg/kg body weight per day for infants. Those benchmarks are the authors’ comparators. Low inorganic arsenic in hydrolysed-rice formula used for cow's milk protein allergy

Jackson and colleagues report total arsenic in infant formulas (n=15) from 2.2 to 12.6 ng/g. The brand table in the same note prints means from 2.6 ± 0.44 ng/g to 11.89 ± 0.64 ng/g. This page repeats the prose range and the table extremes and does not choose one. Speciation in formulas with total arsenic above 6 ng/g (n=9) showed essentially 100 percent inorganic arsenic. Non-dairy formulas were higher than dairy-based formulas. Fruit purees and mixed meals in the same note are not infant formula and are not repeated here. Arsenic concentration and speciation in infant formulas and first foods

The Canadian Food Inspection Agency 2018-19 survey, infant formula row (n=395), ppm, means from quantifiable results only. Arsenic: 52 percent positive, mean 0.016, range below the limit of detection to 0.040. Cadmium: 9 percent positive, mean 0.011, range below the limit of detection to 0.020. Lead: 13 percent positive, mean 0.012, range below the limit of detection to 0.020. Mercury: 1 percent positive, mean 0.002, range below the limit of detection to 0.003. The note’s limits of detection for the survey are 0.001 to 0.01 ppm. The note states that arsenic and lead results in ready-to-serve infant formula met Canada’s existing tolerances and does not print those tolerance numbers in the infant-formula row. The arsenic column is the table’s arsenic column. The note’s later routing line calls the survey arsenic total arsenic. Toxic Metals in Selected Foods – April 1, 2018 to March 31, 2019: Food chemistry – Targeted surveys – Final report

Garuba and colleagues, Table 3, µg/g of as-sold product, mean (standard deviation). Infant formula A: aluminum 0.085 (0.023), chromium 0.010 (0.003), nickel 0.015 (0.002), zinc 0.063 (0.020), total arsenic 0.008 (0.000), cadmium 0.000 (0.000), and lead 0.000 (0.000). Infant formula B: aluminum 0.271 (0.023), chromium 0.023 (0.008), nickel 0.020 (0.001), zinc 23.694 (1.346), total arsenic 0.009 (0.001), cadmium 0.000 (0.000), and lead 0.001 (0.000). Purees, cereal, syrup, and fruit punch in the same table are not infant formula and are not repeated here. The authors compare some zinc values with an NIH figure of 2 to 3 µg/g/day. That figure is the authors’ comparator. The note states Table 3 places formula B zinc at 23.69 µg/g while the discussion list of zinc exceedances omits it. Evaluation of Heavy Metals in Commercial Baby Foods

Infant formula, colonization, and why hexavalent chromium is omitted

Infant formula feeds the colonization window. The directly relevant papers are infant urinary arsenic, metal availability in formula-fed versus breastfed infants, and a mouse demonstration that gut microbes change inorganic arsenate excretion. The other rows are lead, cadmium, mercury, hair metals, occupational nickel, experimental zinc, and an adult yogurt trial. Hexavalent chromium gavage is omitted so a total-chromium formula cell is not given a hexavalent finding.

Sitarik et al. 2020 measured tooth lead and stool microbiota at 1 month and 6 months in 146 maternal-child pairs in the Detroit-area WHEALS cohort. In utero tooth lead was associated with fungal community composition at 1 month. Lead was not associated with overall bacterial community structure. Taxon-level bacterial shifts were higher Collinsella at 1 month, higher Bilophila at 6 months, and lower Bacteroides. The direction is lead exposure toward microbiota composition. Tooth lead is a biomarker, not a concentration in this product.

Eggers et al. 2023, per WikiBiome source summary, DOI 10.3389/fmicb.2023.1193919, followed 123 children in the Mexico City PROGRESS cohort. Maternal blood lead means were 33.6 µg/L in the second trimester and 34.9 µg/L in the third. Stool metagenomes at ages 9 to 11 showed lower Bacteroides caccae with lead exposure. Weighted quantile sum regression gave a negative overall mixture effect (beta = -0.17) in both trimesters. The direction is prenatal lead toward the childhood gut microbiota. The summary does not support a lead concentration in food.

Liu et al. 2023, per WikiBiome source summary, DOI 10.3389/fvets.2023.1219729, exposed Sprague-Dawley rats to cadmium chloride for 30 days. The note states lower intestinal ZO-1, higher TNF-alpha and IL-6 in intestine and blood, and Muribaculaceae in blood that was absent in the unexposed group. The note does not print the dose or the number of rats. The direction is cadmium toward gut and blood microbiota and barrier markers.

Hoen et al. 2018 related urinary total arsenic at 6 weeks to stool microbiota in 204 infants in the New Hampshire Birth Cohort Study. Urinary total arsenic had median 0.4 µg/L and mean 0.63 µg/L. Feeding-stratified means were 0.5 µg/L in exclusively breastfed infants, 0.9 µg/L in mixed-fed infants, and 1.2 µg/L in formula-only infants. Overall composition was marginally associated with natural-log urinary arsenic after adjustment for feeding and urine specific gravity (pseudo-F 1.85, p = 0.05). The clearest association was in formula-fed males (n = 33, pseudo-F 2.30, p = 0.008). Formula-fed females (n = 23) did not show that association. The direction is an early-life arsenic biomarker toward infant gut microbiota. Urinary arsenic is not a concentration in this product.

Soto-Ocana et al. 2024 report that formula-fed infants had higher gastrointestinal metal levels than breastfed infants, and that the higher-metal pattern tracked with a different early community. In culture, Lactobacillus was highly susceptible to zinc and manganese restriction, while Enterococcus, Enterobacteriaceae, and Bacteroides were resistant. The direction is metal availability toward which taxa colonize. The source page does not print a metal concentration in formula.

Giambo et al. 2021, per WikiBiome source summary, DOI 10.3892/wasj.2021.90, screened 600 articles and included 97. For mercury, the note states that methylation and demethylation are a core process in methylmercury metabolism and that microbiota changes have been linked to neurodevelopmental effects in rat offspring. For manganese, the note states sex-specific effects and that fecal microbiota transplant can lessen manganese neurological toxicity. The note does not assign a new sample size to either summary. The review does not test this product.

Xiong et al. 2025, per WikiBiome source summary, DOI 10.1038/s41467-025-60508-8, followed 146 mother-infant pairs, with maternal hair trace elements measured in 119 mothers. Shannon diversity of the infant gut at 3 months correlated positively with selenium and negatively with copper. Bifidobacterium relative abundance increased under high aluminum and high manganese together, so the note does not separate aluminum from manganese. The note states that high copper and arsenic may enrich antibiotic resistance genes. Hair concentrations are not printed. The direction is prenatal trace-element biomarkers toward the infant gut. Hair is not a food sample.

Yang et al. 2023 compared 109 occupationally nickel-exposed workers with matched controls. Serum nickel in the exposed group was 5.70 ± 3.21 µg/L, serum uric acid was 355.95 ± 67.87 µmol/L, and uric-acid-lowering bacteria, including Lactobacillus and related taxa, were lower. The direction is occupational nickel toward gut microbiota and then toward a host metabolite. Serum nickel is not a concentration in this product.

Chen et al. 2021, per WikiBiome source summary, DOI 10.1128/Spectrum.00483-21, fed C57BL/6 mice diets with 0, 30, 150, or 600 mg/kg zinc for 4 weeks and for 8 weeks. A 4-week diet with no added zinc increased Proteobacteria and Desulfovibrio. An 8-week diet with 150 mg/kg zinc suppressed total short-chain fatty acids, butyric acid, acetic acid, and short-chain-fatty-acid-producing genera. A 600 mg/kg diet decreased Shannon diversity. The mouse count is not in the note. The direction is dietary zinc status toward cecal microbiota. The diets are experimental, not this product.

Feng et al. 2022, per WikiBiome source summary, DOI 10.1038/s41522-022-00326-8, randomized 152 occupationally exposed workers in Pakistan, 76 in each arm, to yogurt with Pediococcus acidilactici GR-1 or to conventional yogurt for 12 weeks. In the probiotic arm, blood copper fell 34.45 percent, from 1,246 ± 20.7 to 817 ± 145.1 µg/L (p < 0.0001), and fecal copper rose. The direction is a microbiota intervention toward copper body burden. The workers were occupationally exposed. The trial is not a test of copper in this product.

Study table

What remains uncertain

Soto-Ocana and colleagues do not print a metal concentration in formula. Hoen and colleagues do not name a formula lot or split cow-milk formula from other formula. Chromium gut studies that use hexavalent salts are omitted here. Occupational nickel and the adult yogurt trial are not infant colonization studies. Liu and colleagues do not print the cadmium dose.

How standards math uses this page

This page reports what the peer-reviewed and government literature says about heavy-metal concentrations in this product category; it publishes no certification thresholds of its own. Certification criteria are set separately under the Heavy Metal Tested & Certified program at heavymetalcertified.com, which reads this page as its literature baseline. The two are kept apart by design, so this page remains an independent record of the evidence rather than a justification for any threshold.

Historical recalls and enforcement

Pending synthesis. Public-record regulatory events for this product category will be summarized here as the synthesis pass identifies them. Recalls are framed as regulatory events, not brand rankings.

Methodology

Pending. This section will state the speciation, basis-preservation, row-fit, and pooling rules that govern downstream sections of this page.

References

Works cited in this page’s text, in first-appearance order. See Sources for this page’s source inventory. Each title links to a source record with bibliographic details, reported findings, and document provenance.

1. Infants’ dietary arsenic exposure during transition to solid foodSignes-Pastor AJ, Cottingham KL, Carey M, Sayarath V, Palys T, Meharg AA, et al. · Scientific Reports 8(1):7114 · 2018 · doi.org/10.1038/s41598-018-25372-1Peer-reviewed
2. The contribution of infant formula to the food survey-based dietary exposure of nine selected elementsTobias Höpfner, Melanie Wollenberg, Anna Jäger, Mandy Stadion, Christian Jung, Anna-Lena Klook, et al. · Journal of Environmental Exposure Assessment · 2025 · doi.org/10.20517/jeea.2024.45Peer-reviewed
3. Estimated daily intake and health risk assessment of toxic elements in infant formulasTugba Demir and Sema Agaoglu · British Journal of Nutrition · 2023 · doi.org/10.1017/S0007114523000971Peer-reviewed
4. Magnetic Multi-Walled Carbon Nanotubes Modified with Polythiophene as a Sorbent for Simultaneous Solid Phase Microextraction of Lead and Cadmium from Water and Food SamplesDehghani Zahra, Dadfarnia Shayessteh, Haji Shabani Ali Mohammad, and Ehrampoush Mohammad Hassan · Analytical and Bioanalytical Chemistry Research · 2020 · doi.org/10.22036/abcr.2020.221731.1465Peer-reviewed
5. Low inorganic arsenic in hydrolysed-rice formula used for cow’s milk protein allergyMeyer R, Carey MP, Turner P, and Meharg AA · Pediatric Allergy and Immunology · 2018 · doi.org/10.1111/pai.12913Peer-reviewed
6. Arsenic concentration and speciation in infant formulas and first foodsBrian P. Jackson, Vivien F. Taylor, Tracy Punshon, and Kathryn L. Cottingham · Pure and Applied Chemistry, Vol. 84, No. 2, pp. 215-223 · 2012 · doi.org/10.1351/PAC-CON-11-09-17Peer-reviewed
7. Toxic Metals in Selected Foods – April 1, 2018 to March 31, 2019: Food chemistry – Targeted surveys – Final reportCanadian Food Inspection Agency · 2020 · inspection.canada.caGovernment
8. Evaluation of Heavy Metals in Commercial Baby FoodsGaruba OD, Anglin JC, Good S, Olufemi SE, Oyawoye OM, and Sodipe A · Archives of Food and Nutritional Science · 2024 · doi.org/10.29328/journal.afns.1001056Peer-reviewed
9. Fetal and early postnatal lead exposure measured in teeth associates with infant gut microbiotaSitarik AR, Arora M, Austin C, Bielak LF, Eggers S, Johnson CC, et al. · Environment International · 2020 · doi.org/10.1016/j.envint.2020.106062Peer-reviewed
10. Prenatal lead exposure is negatively associated with the gut microbiome in childhoodEggers S, Midya V, Bixby M, Gennings C, Torres-Olascoaga LA, Walker RW, et al. · Frontiers in Microbiology · 2023 · doi.org/10.3389/fmicb.2023.1193919Peer-reviewed
11. Environmental cadmium exposure alters the internal microbiota and metabolome of Sprague-Dawley ratsLiu S, Deng X, Li Z, Zhou W, Wang G, Zhan J, et al. · Frontiers in Veterinary Science · 2023 · doi.org/10.3389/fvets.2023.1219729Peer-reviewed
12. Sex-specific associations of infants’ gut microbiome with arsenic exposureAnne G. Hoen, Juliette C. Madan, Zhigang Li, Modupe Coker, Sara N. Lundgren, Hilary G. Morrison, et al. · Scientific Reports · 2018 · doi.org/10.1038/s41598-018-30581-9Peer-reviewed
13. Metal availability shapes early life microbial ecology and community successionJoshua Soto Ocaña, Elliot S. Friedman, Orlaith Keenan, Nile U. Bayard, Eileen Ford, Ceylan Tanes, et al. · mBio 15(7):e00854-24 · 2024 · doi.org/10.1128/mbio.01534-24Peer-reviewed
14. Influence of toxic metal exposure on the gut microbiotaGiambo F, Italia S, Teodoro M, Briguglio G, Furnari N, Catanoso R, et al. · World Academy of Sciences Journal · 2021 · doi.org/10.3892/wasj.2021.90Peer-reviewed
15. Prenatal exposure to trace elements impacts mother-infant gut microbiome, metabolome and resistome during the first year of lifeXiong S, Xie B, Yin N, Zhu H, Gao H, Xu X, et al. · Nature Communications · 2025 · doi.org/10.1038/s41467-025-60508-8Peer-reviewed
16. Nickel exposure induces gut microbiome disorder and serum uric acid elevationJinfeng Yang, Pengya Feng, Zhenmin Ling, Aman Khan, Xing Wang, Yanli Chen, et al. · Environmental Pollution, Vol. 324, 121349 · 2023 · doi.org/10.1016/j.envpol.2023.121349Peer-reviewed
17. Effect of long-term and short-term imbalanced zinc manipulation on gut microbiota and screening for microbial markers sensitive to zinc statusChen L, Wang Z, Wang P, Yu X, Ding H, Wang Z, et al. · Microbiology Spectrum · 2021 · doi.org/10.1128/Spectrum.00483-21Peer-reviewed
18. Human supplementation with Pediococcus acidilactici GR-1 decreases heavy metal levels through modifying the gut microbiota and metabolomeFeng P, Yang J, Zhao S, Ling Z, Han R, Wu Y, et al. · npj Biofilms and Microbiomes · 2022 · doi.org/10.1038/s41522-022-00326-8Peer-reviewed

Sources

Source records associated with this topic. Inclusion does not establish that every finding applies to this product or ingredient. References above identify works cited in the text.

Update history

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