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Non-soy Infant Formula

Completeness scorecard

Deterministic gap audit — no score is composite, no cell is LLM-judged. Each chip is re-derivable by re-running tools/evidence/build-ingredient-scorecard.mjs. review: residuals and missing data are worked autonomously via data/evidence/ingredient-scorecard-review-flags.csv and wiki/completeness-gaps.md.

DimensionStatusWhat’s there (auditable counts)What’s missing
D1 Analyte coverage (tier: unset)tier-unset5/10 HMTc analytes, total n=23consumption tier unset; depth bar uncheckable
D2 Regional coverageOK14 jurisdictions, top US 47%
D3 Anthropogenic evidenceGAP1 drinking-water; no supply-chain linklink a supply-chain/ hub page
D4 Background mechanismGAPsection present, 0 drivers, 1 upstream source(s)drivers[] empty
D5 Pooling depthPOOLABLEPb POOLABLE, Cd POOLABLE, iAs POOLABLE, tAs POOLABLE, tHg POOLABLE
D6 SpeciationOKiAs, tAs, tHg declared
D7 Basis declarationGAP0/10 populated cells declare a basis token10 populated cell(s) lack a basis token: Pb, Cd, iAs, tAs, tHg, Ni, Al, Cr, Sn, U
D8 Provenance integrityOK13 claims checked, 13 supported; 4 citations, 0 orphan, 0 foreign
D9 MitigationOK1 cited lever(s), 6 mitigation/ link(s)
D10 Regulatory coverageOK3 rule link(s), 0 metal(s) coveredunmapped analytes: Pb, Cd, iAs, tAs, tHg
D11 Standards-readinessPARTIALpriority: Pb, Cd, iAs, tAs, tHg; pairing 0 paired, 5 single, 0 unpairedbasis: 10 populated cell(s) lack a basis token: Pb, Cd, iAs, tAs, tHg, Ni, Al, Cr, Sn, U; consumption tier unset (depth bar uncheckable)
Principle balanceflagconsumer-protection 0.75, contamination-reduction 1.00, brand-value 0.00, legal-defensibility 0.75, scale 0.75spread 1.00 — starved: brand-value

This is a structural ingredient/profile node for non-soy infant formula routing. Finished formula occurrence values belong on the relevant formula product pages unless a source reports ingredient-only values.

Sources

Auto-generated from source-page frontmatter. The “Used on this page for” column is populated by the orchestrator’s POPULATE-SOURCE-LEGEND action; pending entries appear as *[awaiting synthesis]*.

#CitationYearTypeUsed on this page for
1Largueza et al. 2026. Essential and Potentially Toxic Elements in Commercial Milk Formulas: Health Risk Assessment Through a Systematic Review and Meta-analysis, Biological Trace Element Research2026Peer-reviewedBR/EU/US Al, iAs, tAs, Cd, Co, Cr, Cu, Fe, MeHg, Mn, Ni, Pb, U, Zn occurrence in Systematic review with meta-analysis of 30 observational studies (PRISMA, OSF.IO/2YNKB registered), 18 with pooled meta-analysis data, covering three… (n=30)
2Dobrzyńska et al. 2025. Analysis of the Elemental Composition of Milk Formulae: Impact on the Nutritional Status of Infants From Birth to 1 Year of Age, Biological Trace Element Research2025Peer-reviewedPL/EU tAs, Cd, tHg, Ni, Sn, Cr, Co, Cu, Mn occurrence in All powdered milk formulae available on the Polish market 2019-2023 for infants up to 12 months of age:… (n=149)
3Thoerig et al. 2025. Assessment of arsenic, cadmium, lead, mercury, and per- and polyfluoroalkyl substances concentrations in human milk and infant formula in the United States: a systematic review, American Journal of Clinical Nutrition, Vol. 122, pp. 1006-10262025Peer-reviewedSystematic review of As, Cd, Pb, Hg, and PFAS in US human milk and infant formula; most comprehensive current US synthesis of toxic elements in infant feedings, covering both non-soy and soy formula matrices; shows formula concentrations generally exceed human milk on a per-serving basis
4Pikounis et al. 2024. Urinary biomarkers of exposure to toxic and essential elements: A comparison of infants fed with human milk or formula, Environmental Epidemiology2024Peer-reviewedUrinary biomarkers of iAs, Pb, Cd, Hg, and Mn in US formula-fed versus breastfed infants (Dartmouth/Harvard cohort); formula-fed infants show higher urinary As and Mn than breastfed infants, providing biomarker-validated evidence for feeding-mode-driven differences in infant toxic-element exposure
5Ocaña et al. 2024. Metal availability shapes early life microbial ecology and community succession, mBio 15(7):e00854-242024Peer-reviewedZn, Mn, Fe, and Cu in infant gut comparing formula-fed and breastfed infants (CHOP/Penn/Vanderbilt cohort); formula-fed infants have markedly higher gastrointestinal metal levels driving distinct early microbial community assembly via calprotectin-mediated nutritional immunity
6Demir et al. 2023. Estimated daily intake and health risk assessment of toxic elements in infant formulas, British Journal of Nutrition2023Peer-reviewedTR/EU Al, Mn, Co, Cu, Zn, tAs, Se, Cd, Sn, Pb, tHg occurrence in 72 powdered cow-milk-based infant formula products from 16 anonymized brands in Turkiye, covering 0-6 month infant formula, follow-on… (n=72)
7Frisbie et al. 2019. Manganese levels in infant formula and young child nutritional beverages in the United States and France: Comparison to breast milk and regulations, PLOS ONE2019Peer-reviewedUS/FR/EU Mn occurrence in 44 infant formulas and young-child nutritional beverage products purchased in the United States (n=25) and France (n=19), selected… (n=44)
8BfR 2018. EU maximum levels for cadmium in food for infants and young children sufficient - Exposure to lead should fundamentally be reduced to the achievable minimum, BfR Opinion No. 026/20182018Government reportDE/EU Cd, Pb occurrence in BfR assessment of German Federal Control Plan 2015 and Monitoring 2015 occurrence data for foods for infants and… (n=522)
9Eticha et al. 2018. Infant Exposure to Metals through Consumption of Formula Feeding in Mekelle, Ethiopia, International Journal of Analytical Chemistry, Vol. 2018, Article 29856982018Peer-reviewedPb, Cd, As, and Cr in retail infant formula products from the Mekelle, Ethiopia market (AAS); per-day infant exposure estimates against international reference values; extends the formula occurrence evidence base to sub-Saharan African market context
10Durovic et al. 2017. Determination of Microelements in Human Milk and Infant Formula Without Digestion by ICP-OES, Acta Chimica Slovenica2017Peer-reviewedME/RS Zn, Fe, Cu occurrence in 28 mature human milk samples from lactating mothers and 15 powdered infant formula units representing five formula products… (n=43)
11Unuvar et al. 2017. Determination of Element Concentrations in Commercial Infant Formulas Using Atomic Absorption Spectrometry, Atomic Spectroscopy2017Peer-reviewedTR Al, Pb, Fe, Mg, Zn occurrence in Twenty commercial infant formula samples from five manufacturers, purchased from pharmacies and supermarkets in Malatya, Turkey and grouped… (n=20)
12Carignan et al. 2016. Contribution of breast milk and formula to arsenic exposure during the first year of life in a U.S. prospective cohort, Journal of Exposure Science and Environmental Epidemiology, Vol. 26, No. 5, pp. 452-4572016Peer-reviewediAs and tAs exposure from breast milk and formula across the first year of life in a US prospective cohort (New Hampshire Birth Cohort Study); longitudinal feeding-mode-stratified arsenic exposure trajectory, with formula-fed infants accumulating more arsenic than breastfed infants over the same time window
13Pacquette et al. 2016. Simultaneous Determination of Arsenic, Cadmium, Mercury, and Lead in Raw Ingredients, Nutritional Products, and Infant Formula by Inductively Coupled Plasma Mass Spectrometry: Single-Laboratory Validation, Journal of AOAC International, Vol. 99, No. 3, pp. 766-7792016Peer-reviewedSingle-laboratory ICP-MS method validation for simultaneous determination of As, Cd, Hg, and Pb in raw ingredients (acid casein, maltodextrin, skim milk powder), nutritional products, and infant formula; validated against NIST SRM 1548a, 1577c, and 1568b; analytical method basis for infant formula occurrence surveillance
14Carignan et al. 2015. Estimated Exposure to Arsenic in Breastfed and Formula-Fed Infants in a United States Cohort, Environmental Health Perspectives, Vol. 123, No. 5, pp. 500-5062015Peer-reviewediAs and tAs exposure estimated by urinary biomarker and dietary intake in breastfed versus formula-fed US infants (Dartmouth New Hampshire Birth Cohort); formula-fed infants had higher urinary arsenic biomarkers than breastfed infants, establishing the US cohort evidence base for formula-associated infant As exposure
15Odhiambo et al. 2015. Toxic trace elements in different brands of milk infant formulae in Nairobi market, Kenya, African Journal of Food Science2015Peer-reviewedKE Al, Cd, Pb, Ni occurrence in Seven imported cow-milk infant formula powder products for infants aged 0-6 months, purchased from stores in Nairobi County,… (n=7)
16UK Committee on Toxicity 2013. Statement on the potential risks from aluminium in the infant diet, Committee on Toxicity (COT), Statement 2013/01, June 20132013Government reportUK Al occurrence in Synthesis of UK Drinking Water Inspectorate 2011 tap-water survey (n=42,400 England/Wales, n=1,730 Northern Ireland, n=5,020 Scotland); FSA 2006…
17Jackson et al. 2012. Arsenic concentration and speciation in infant formulas and first foods, Pure and Applied Chemistry, Vol. 84, No. 2, pp. 215-2232012Peer-reviewedtAs and iAs with full speciation (arsenite, arsenate, MMA, DMA) in US infant formulas and first foods by HPLC-ICP-MS; rice-component formulas carry substantially higher iAs than non-rice formulas; primary US speciation dataset for infant formula iAs assessment
18Burrell et al. 2010. There is (still) too much aluminium in infant formulas, BMC Pediatrics2010Peer-reviewedUK Al occurrence in Fifteen commercial infant formula products on the UK market; ready-made liquid and powdered formats; cow-milk-based and soya-based; first-infant,… (n=15)
19Committee on Toxicity of 2003. COT statement on a survey of metals in infant food, Committee on Toxicity statement2003Government reportGB Al, Sb, tAs, Cd, Cr, Cu, Pb, tHg, Ni, Se, Sn, Zn occurrence in Commercial UK baby foods and formulae, including infant formulae, manufactured baby foods, desserts, rusks, and infant drinks, surveyed… (n=189)

Why this commodity accumulates heavy metals

Non-soy infant formula is the default formula format in most markets, using cow-milk protein (intact, partially hydrolyzed, or fully hydrolyzed) or amino acids as the protein base. Heavy-metal load in non-soy formula comes from four primary pathways: the cow-milk ingredient (Pb, Cd at low background levels reflecting forage and water inheritance); the carbohydrate source (lactose, maltodextrin, corn syrup solids — generally low metal loads but trace iAs from corn-derived ingredients); the vitamin-mineral premix (Pb, Cd, Al contamination via mineral salt impurities, particularly calcium phosphate and iron salts); and the manufacturing water and processing infrastructure (Pb from leaded brass fittings in older infrastructure, contributing trace background). When the formula contains a rice-derived ingredient (rice starch, brown rice syrup), iAs from the rice pathway dominates the arsenic profile per Jackson 2012.

Non-soy formula carries a substantially different heavy-metal profile from soy-based formula because the cow-milk protein base does not concentrate Al, Ni, and Cd the way soy protein isolate does. The HMTc Cat 1 Step 0 lock splits non-soy from soy formula into separate product rows (infant-formula-powder-non-soy and infant-formula-rtf-liquid-non-soy) on this basis. The HMTc-panel concerns for non-soy formula are dominantly Pb (vitamin-mineral premix inheritance), iAs when rice-derived ingredients are present, and Cd from background mineral salts. Mercury and aluminum sit at trace levels under most reasonable formulations; the Thoerig 2025 U.S. systematic review documents this consistently.

Heavy metal contamination profile

The body-level analyte snapshot for non-soy formula follows the per-format pages: see infant-formula-powder-non-soy and infant-formula-rtf-liquid-non-soy for the format-specific concentration tables. The non-soy profile is dominated by trace Pb (≈1-10 ppb) and trace iAs (≈3-8 ppb), with Cd and Hg at near-LOQ background.

AnalyteCoverageTypical (ppb)p95 (ppb)ConfidenceKey sources
Pbn=41–10medium1, 4, 6
Cdn=40.5–5medium1, 4, 6
iAsn=53–8medium8, 7, 5
tAsn=73–9medium8, 1, 7
tHgn=30.1–2medium1, 6
Nidata gap
Aldata gap
Crdata gap
Sndata gap
Udata gap

Ranges by source, region, and variety

Variance within non-soy infant formula tracks regional supply infrastructure (U.S./EU/emerging markets reflecting different mineral-premix supplier baselines), the manufacturer’s specification on incoming raw ingredients (testing of vitamin-mineral premix for Pb/Cd ceiling, rice-ingredient screening for iAs), the manufacturing water source quality, and the historical generation of the product line (post-2018 manufacturer responses to FDA’s Closer to Zero infant-rice-cereal action level have tightened iAs in rice-containing formulas). U.S.-market non-soy formula sits at the low end of the global range; the Eticha 2018 Ethiopian market sample documents higher per-analyte concentrations in emerging-market supply, consistent with weaker upstream raw-ingredient quality control.

Per-formulation variance: hydrolyzed cow-milk formula carries similar trace-metal load to intact cow-milk formula because the hydrolysis step does not introduce metals; amino-acid-based formula (elemental nutrition) carries a different mineral-premix profile reflecting the synthetic amino-acid feedstock. Rice-containing formulas (some “gentle” formulations include rice starch or brown rice syrup) carry elevated iAs from the rice pathway per Jackson 2012; these formulations should be flagged distinctly.

Processing effects

Non-soy infant formula manufacturing involves wet-mix preparation of cow-milk protein with carbohydrate, fat, and vitamin-mineral premix, followed by spray-drying for powder formats or sterile fill for RTF/concentrated liquid formats. Each step is a potential metal-introduction point: water-based pre-blending introduces background water-source Pb/Cd; spray-drying concentrates per-mass solids without removing metals; can-lining (for RTF liquid) introduces a Sn migration pathway in lower-quality can stock. The ICP-MS method validated in Pacquette 2016 is the operative analytical platform for routine in-process and finished-product testing.

Format-driven concentration: powder formula on a per-gram basis carries roughly 7× the analyte concentration of RTF liquid formula on a per-mL prepared-for-feeding basis (the 1:7 reconstitution factor). Comparisons across studies must respect this conversion; the EU 2023/915 prepared-for-feeding 10 ppb Pb maximum level translates to roughly 70 ppb on the powder basis.

Ingredient-derivative risk

Non-soy formula derivatives span the three format families: powder (most common), ready-to-feed (RTF) liquid, and concentrated liquid. Each Cat 1 Step 0 row variant (infant-formula-powder-non-soy, infant-formula-rtf-liquid-non-soy) carries similar per-mass-protein metal load on a like-for-like basis; reconstitution shifts the per-volume concentration. Specialty derivatives (lactose-free, anti-reflux, “gentle” formulas with rice-derived ingredients) carry product-specific profile shifts. Rice-containing variants specifically warrant separate iAs screening per Jackson 2012.

Mitigation options

Sourcing levers (supply-chain-screening) are the dominant intervention for non-soy formula and operationally tractable. Brand-side decisions include: vitamin-mineral premix supplier specification (testing of incoming premix for Pb, Cd, and trace Al against per-mass-in-finished-formula compliance targets); rice-ingredient avoidance for non-rice formulations (eliminates the iAs pathway entirely); upstream cow-milk supplier specification (forage-monitoring programs and water-source verification); and manufacturing-water quality specification (RO or equivalent for finished-formula water).

Agronomic levers (agronomic) operate at the cow-milk dairy-feed and dairy-water stage and at the rice-cultivation stage when rice ingredients are used. See milk-and-dairy and rice for upstream interventions.

Processing levers (processing) are limited at the formula-manufacturing stage; the metal load is in the raw ingredients. Water-treatment improvements and processing-equipment metal-leaching audits are the operative interventions.

Formulation levers (formulation) include the non-rice-ingredient substitution for “gentle” formulations (lactose-free with corn-syrup-solid carbohydrate base rather than rice-derived) and the vitamin-mineral premix supplier choice as a primary lever.

Testing and QC levers (testing-and-qc) are mature: lot-level Pb, Cd, iAs testing on finished non-soy formula against the EU 10 ppb Pb prepared-for-feeding ML, the 5 ppb Cd ML, and the 20 ppb iAs ML for infant-and-young-child food. The Pacquette 2016 ICP-MS method is the analytical-platform foundation.

Packaging and storage levers (packaging-and-storage) include can-lining specification (BPA-NI epoxy or food-grade alternative) to minimize Sn migration in RTF liquid formats, and avoidance of aluminum-foil-lined packaging for prepared-formula storage.

Regulatory limits that apply

  • eu-2023-915 — EU Reg. 2023/915 sets binding maximum levels for infant formula: Pb 10 ppb prepared-for-feeding (≈70 ppb powder basis), Cd 5 ppb prepared-for-feeding, iAs 20 ppb prepared-for-feeding, Hg 20 ppb prepared-for-feeding. These apply to non-soy formula directly.
  • fda2020-inorganic-arsenic-infant-rice-cereal — FDA Closer to Zero iAs framework covers rice-containing formula at the 100 ppb iAs action level.
  • Codex Alimentarius CXS 72-1981 (infant formula) and CXS 156-1987 (follow-up formula) establish composition standards.
  • California Prop 65 (california-prop65) Pb MADL applied to infant formula yields stringent serving-based screen.
  • FDA Closer to Zero broader infant-food framework also covers non-rice infant foods; ongoing rulemaking will set quantitative action levels.

Page history

The five most recent substantive edits to this page. The full version history lives in git; when DOI minting comes online (see schema docs), each entry below will also link to a version-pinned DataCite DOI.

CommitDateDescription
b0f3d382026-06-12batch | corpus rescreen b04 old terminal skips