Butter
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.
| Dimension | Status | What’s there (auditable counts) | What’s missing |
|---|---|---|---|
| D1 Analyte coverage (tier: occasional) | OK | 5/10 HMTc analytes, total n=15 | labeled data-gaps: iAs, Al, Sn |
| D2 Regional coverage | OK | 5 jurisdictions, top PL 33% | — |
| D3 Anthropogenic evidence | GAP | no upstream/attribution sources | link a supply-chain/ hub page |
| D4 Background mechanism | GAP | section present, 0 drivers, 0 upstream source(s) | drivers[] empty; no upstream source to substantiate |
| D5 Pooling depth | THIN | Pb THIN, Cd THIN, tAs THIN, tHg POOLABLE, Ni THIN, Cr THIN, U THIN | Pb: needs 1 more study(ies); Cd: needs 1 more study(ies); tAs: needs 1 more study(ies); Ni: needs 1 more study(ies); Cr: needs 1 more study(ies); U: needs 1 more study(ies) |
| D6 Speciation | OK | iAs, tAs, tHg declared | — |
| D7 Basis declaration | GAP | 0/10 populated cells declare a basis token | 10 populated cell(s) lack a basis token: Pb, Cd, iAs, tAs, tHg, Ni, Al, Cr, Sn, U |
| D8 Provenance integrity | GAP | 2 claims checked, 2 supported; 1 citations, 0 orphan, 1 foreign | 1 foreign citation(s) not naming butter: fda2022-tds-elements-fy2018-fy2020 |
| D9 Mitigation | GAP | 0 cited lever(s), 0 mitigation/ link(s) | section present but no source-cited lever |
| D10 Regulatory coverage | OK | 1 rule link(s), 6 metal(s) covered | unmapped analytes: Ni, Cr, U |
| D11 Standards-readiness | NOT-READY | priority: Pb, Cd, tAs, tHg, Ni, Cr, U; pairing 0 paired, 7 single, 0 unpaired | Pb: THIN, needs 1 more study(ies); Cd: THIN, needs 1 more study(ies); tAs: THIN, needs 1 more study(ies); Ni: THIN, needs 1 more study(ies); Cr: THIN, needs 1 more study(ies); U: THIN, needs 1 more study(ies); basis: 10 populated cell(s) lack a basis token: Pb, Cd, iAs, tAs, tHg, Ni, Al, Cr, Sn, U |
| Principle balance | flag | consumer-protection 1.00, contamination-reduction 0.00, brand-value 0.00, legal-defensibility 0.50, scale 0.25 | spread 1.00 — starved: contamination-reduction |
This ingredient stub was created during the FDA FY2018-FY2020 Total Diet Study element-results ingest so future source ingests have a stable destination for this food matrix. FDA reports this item as TDS Food 164, “Butter, salted.” fda2022-tds-elements-fy2018-fy2020
Why this commodity accumulates heavy metals
Butter accumulates heavy metals at very low levels relative to most food commodities, a consequence of its chemical composition. As a dairy fat product (approximately 80 percent milkfat by weight), butter separates the fat fraction of cream from the aqueous and protein fractions. Heavy metals, being hydrophilic ionic species in biological systems, partition strongly into the aqueous and protein-bound fractions of milk rather than into the lipid fraction. Lead, cadmium, mercury, and most other heavy metals present in raw milk are therefore concentrated in skimmed milk, whey, and milk proteins during dairy processing, while the fat that becomes butter carries minimal residual metal load. This partitioning behavior is well established in dairy processing science and explains why butter shows among the lowest heavy metal concentrations of any commonly studied food matrix. The FDA Total Diet Study FY2018-FY2020 confirms this pattern, reporting all measured metals (Cd, Cr, Ni, Pb, U, tAs, tHg) in salted butter at zero or below the reporting limit FDA 2022. The residual risk in butter is primarily indirect: feed contamination in dairy cattle elevates metals in raw milk, but the subsequent fat-extraction process removes the vast majority of that load before butter reaches the consumer.
Heavy metal contamination profile
Per-analyte snapshot derived from the machine-readable contamination_profile in the frontmatter above. data gap indicates the literature has been reviewed for this commodity-analyte combination and no usable occurrence data was found (a finding, not a placeholder). The Key sources column shows the top 2-3 contributing sources by year and sample size, with numbered wikilink aliases.
| Analyte | Coverage | Typical (ppb) | p95 (ppb) | Confidence | Key sources |
|---|---|---|---|---|---|
| Pb | n=2 | 0 | 0 | low | 1, 2 |
| Cd | n=2 | 0 | 0 | low | 1, 2 |
| iAs | data gap | — | — | — | — |
| tAs | n=2 | 0 | 0 | low | 1, 2 |
| tHg | n=3 | 0 | 0 | medium | 1, 2, 3 |
| Ni | n=2 | 0 | 0 | low | 1 |
| Al | data gap | — | — | — | — |
| Cr | n=2 | 0 | 0 | low | 1 |
| Sn | data gap | — | — | — | — |
| U | n=2 | 0 | 0 | low | — |
FDA TDS FY2018-FY2020 Evidence
The normalized row-level data for this TDS food is stored in data/evidence/fda_tds_fy2018_2020_element_results_samples.csv, with per-food/per-analyte summaries in data/evidence/fda_tds_fy2018_2020_summary_by_food_analyte.csv. Concentrations are retained as FDA reported them, with the reporting-limit column preserved separately; reported zeroes are not rewritten as <LOD unless a source explicitly says to do so. fda2022-tds-elements-fy2018-fy2020
Routing
This node is linked from the ingredient index and the FDA TDS source routing table.
Contamination Profile State
The machine-readable contamination profile is in_progress for analytes measured in the TDS file and pending for profile metals not measured by this source. Ingredient-level values belong here once cross-source synthesis is reviewed; product-category values belong on the relevant product page.
FDA TDS FY2018-FY2020 Occurrence Values
FDA Total Diet Study FY2018-FY2020 reports prepared/composite-food concentration distributions for this ingredient as TDS food “Butter, salted” (fda2022-tds-elements-fy2018-fy2020). Values are in ppb-equivalent on the basis FDA reported. The full sample-level data are stored in data/evidence/fda_tds_fy2018_2020_element_results_samples.csv; per-analyte distributions in data/evidence/fda_tds_fy2018_2020_summary_by_food_analyte.csv. These distributions count as one source under persistent-wiki-ingest-rule synthesis discipline; numerical values stay in body scratch until a second independent source is integrated.
| Metal | n | min | p10 | p50 | p90 | p95 | max | Schema |
|---|---|---|---|---|---|---|---|---|
| Cd | 3 | 0 | 0 | 0 | 0 | 0 | 0 | in profile |
| Cr | 3 | 0 | 0 | 0 | 0 | 0 | 0 | in profile |
| Ni | 3 | 0 | 0 | 0 | 0 | 0 | 0 | in profile |
| Pb | 3 | 0 | 0 | 0 | 0 | 0 | 0 | in profile |
| U | 3 | 0 | 0 | 0 | 0 | 0 | 0 | in profile |
| tAs | 3 | 0 | 0 | 0 | 0 | 0 | 0 | in profile |
| tHg | 3 | 0 | 0 | 0 | 0 | 0 | 0 | in profile |
Ranges by source, region, and variety
The FDA FY2018-FY2020 Total Diet Study found all measured metals (Cd, Cr, Ni, Pb, U, tAs, tHg) at or below the reporting limit in salted butter (n=3 composites) FDA 2022. This finding is consistent with the theoretical expectation from fat-water partitioning. Geographic and seasonal variability is expected to be minimal relative to other food commodities because the partitioning mechanism operates independently of feed or soil contamination levels at the range normally encountered in commercial dairy operations. The corpus currently holds one TDS source for this food; independent European or Asian dairy survey data for butter specifically are not yet represented.
Processing effects
The churning process that produces butter from cream does not introduce or concentrate heavy metals; it segregates the fat fraction from the buttermilk fraction. Any metals present in the incoming cream partition predominantly into the buttermilk, which is removed. Salted butter includes added salt (sodium chloride), which does not introduce metal contamination if food-grade purity specifications are met. Clarified butter (ghee) is produced by further removing water and milk solids, leaving nearly pure butterfat; this additional processing step would be expected to further reduce any residual metal content below the already-low butter baseline. Pasteurization does not affect metal speciation or concentration. No metal-relevant transformation occurs during typical butter processing.
Ingredient-derivative risk
Butter is used as an ingredient across baked goods, confections, sauces, and spreads. Because its metal load is negligible at the raw-butter level, its contribution to the metal load of finished products is likewise negligible in proportion to its mass fraction. Ghee follows the same logic. The heavy-metal risk in butter-containing products originates overwhelmingly from other ingredients (flour, cocoa, spices, fortification mineral premixes) rather than from the butter fraction.
Mitigation options
Sourcing levers
No quantified data on this lever in the current corpus; section will be expanded when relevant evidence is ingested. Feed quality for dairy cattle is the upstream variable most relevant to raw milk metal content, and the fat-partitioning step already removes most of that signal.
Agronomic levers
No quantified data on this lever in the current corpus; section will be expanded when relevant evidence is ingested.
Processing levers
The standard butter-making process (churning, separation, washing) already achieves near-complete metal removal via fat-water partitioning. No additional processing steps are indicated. Ghee production (further removal of water and non-fat solids) may further reduce residual metal load but the baseline is already at or below detection limits.
Formulation levers
No quantified data on this lever in the current corpus; section will be expanded when relevant evidence is ingested.
Testing and QC levers
Given the consistently below-detection results in butter, routine lot-level heavy metal testing for Cd and Pb is low priority for this commodity. Resources are better directed toward testing higher-risk ingredients in the same formulations. If a specific dairy supply chain shows elevated raw-milk contamination (confirmed via milk testing), butter from that supply chain warrants targeted verification.
Packaging and storage levers
Packaging and storage conditions are not a material driver of heavy metal load in butter.
Regulatory limits that apply
The EU eu2023-contaminants-maximum-levels sets a maximum level for Pb in raw milk, heat-treated milk, and milk for manufacture of dairy-based products of 0.020 mg/kg (20 ppb). No specific EU maximum level for Pb in butter as a distinct product is established separate from the milk limit, reflecting the expectation that the fat-extraction process keeps butter values well below any applicable ceiling. Cd limits for dairy products are not separately specified in EU Regulation 2023/915 for most dairy fractions; butter falls within the general “foods for which no maximum levels are set” category for Cd given its consistently low measured values. No FDA action level specific to butter for Cd, Pb, or other heavy metals is currently operative.
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]*.
| # | Citation | Year | Type | Used on this page for |
|---|---|---|---|---|
| 1 | FDA 2022. FY2018-FY2020 TDS Elements Analytical Results, FDA Total Diet Study | 2022 | Government dataset | FDA TDS FY2018–FY2020 Cd, Cr, Ni, Pb, U, tAs, tHg occurrence distributions for Butter, salted (n=3); all analytes reported as zero (BDL) |
| 2 | GMMA et al. 2021. Detection of Trace Elements in Selective Dairy Products to assess Human Health Risk of Bangladeshi People, Oriental Journal of Chemistry | 2021 | Peer-reviewed | BD Pb, Cd, tAs, Cr, Fe, Cu, Mn, Zn occurrence in 128 cheese, 128 ghee, and 128 butter samples purchased from local shops across 64 administrative districts of Bangladesh;… (n=384) |
| 3 | EL et al. 2020. Aluminum exposure from food in the population of Lebanon, Toxicology Reports | 2020 | Peer-reviewed | LB Al occurrence in Ninety-seven food items collected May–September 2018 from the Beirut retail market (105 sampled; 8 discarded for turbidity), comprising… (n=97) |
| 4 | Kazimov et al. 2014. Examination and Hygienic Assessment of Health Risk Depending on Heavy Metals Content in Foods, Kazanskiy Meditsinskiy Zhurnal (Kazan Medical Journal), vol. 95, no. 5, pp. 706–709 | 2014 | Peer-reviewed | AZ Pb, Cd, Cr, Ni, Cu, Zn occurrence in 57 adults (28 men, 29 women, age 19–49) sampled by random selection from Baku, Azerbaijan; 18 food items… (n=57) |
| 5 | Pankiewicz 2012. Monitoring of total mercury level in selected dairy products from the south-east regions of Poland, Ecological Chemistry and Engineering A | 2012 | Peer-reviewed | PL tHg occurrence in 48 dairy products (milk, kefir, natural and flavoured yogurt, cream, cream cheese, cottage cheese, butter, milk powder, buttermilk,… (n=48) |
| 6 | Starska et al. 2011. Noxious Elements in Milk and Milk Products in Poland, Polish Journal of Environmental Studies | 2011 | Peer-reviewed | Polish national monitoring Pb, Cd, tHg, and tAs in butter within a 483-sample dairy survey across all 16 voivodships |
| 7 | Chen et al. 2001. Determination of arsenic in edible fats and oils by focused microwave digestion and atomic fluorescence spectrometer, Journal of Food and Drug Analysis | 2001 | Peer-reviewed | TW tAs occurrence in Twenty-one market samples of edible fats and oils in Taiwan, including peanut oil, sesame oil, olive oil, sunflower… (n=21) |
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.
| Commit | Date | Description |
|---|---|---|
| b0f3d38 | 2026-06-12 | batch | corpus rescreen b04 old terminal skips |