Overview
This study combined a structured interview survey of 151 dairy farmers in the Greater Bengaluru metropolitan area with chemical analysis of 92 lake-shore forage samples (alligator weed, Bermuda grass, para grass, water hyacinth, and mixed grasses) and 5 food-leftover samples fed to dairy cattle. The key finding is that 43% of the 97 analysed samples exceeded official threshold concentrations for at least one of four heavy metals (As, Cd, Cr, Pb), with Cr exceedance rates being particularly high: 92% of lake-fodder samples exceeded the WHO threshold of 1.30 mg/kg DM. The paper is primarily a veterinary and animal health study; direct relevance to the human food chain rests on the chain from contaminated fodder to cattle health to milk quality, which the authors explicitly identify as unknown and requiring follow-up. Evidence tier B is assigned because the journal is veterinary/animal science, not a food-safety analytical journal, and the human food-chain link is indirect and unquantified.
Key numbers
Heavy metal concentrations in lake fodder (n=92) and food leftovers (n=5), mg/kg DM:
| Metal | Detection rate (%) | % above EU/WHO threshold | Lake fodder mean ± SD | Lake fodder median | Food leftovers mean ± SD | EU/WHO threshold (mg/kg DM) |
|---|---|---|---|---|---|---|
| As | 55 | 43 | 2.54 ± 1.71 | 1.92 | ND | 2.00 |
| Cd | 97 | 14 | 0.72 ± 1.79 | 0.18 | 0.10 ± 0.02 | 1.00 |
| Cr | 96 | 92 | 11.02 ± 15.71 | 5.79 | 3.47 ± 1.48 | 1.30 (WHO) |
| Pb | 98 | 22 | 3.99 ± 5.47 | 1.82 | 1.35 ± 1.21 | 5.00 |
Ranges: As 0.58–8.69, Cd 0.02–6.25, Cr 0.62–48.47, Pb 0.48–29.99 mg/kg DM.
By lake, Bellandur had notably higher Cd (1.81 mg/kg DM) and Cr (16.32 mg/kg DM) than most other lakes. Narasappanahalli had the highest Pb (13.09 mg/kg DM). No significant differences in As between lakes. Para grass showed consistently higher means across all four metals than other fodder types, though differences were not statistically significant.
Note: concentrations are in mg/kg DM (ppm DM), which equals 1,000 ppb DM. All values are total metals (ICP-OES, not speciated). Cr values are total chromium; Cr-VI data are absent.
Logit model finding: use of lake fodder was the strongest significant negative predictor of perceived cattle health (AME = -0.29, p < 0.01), stronger than insufficient drinking water (AME = -0.18) or high shed temperature (AME = -0.13).
Methods (brief)
Forage samples collected May 2022, microwave-assisted HNO3/HCl digestion; measurement by ICP-OES (Spectrogreen, SPECTRO). LODs: As 0.006, Cd 0.0001, Cr 0.00075, Pb 0.003 mg/L. Three technical replicates. CRM validation: ERM-CD281 rye grass (Cd, Cr, Pb within certified range). Inter-laboratory comparison of 10% of samples with AGROLAB LUFA GmbH; differences insignificant (P < 0.05). Basis: dry matter throughout. Total metals only; no speciation of As or Cr.
Implications
Certification: Indirect relevance. This paper does not measure metals in milk or milk products; it measures contamination in the feed inputs to dairy cattle producing urban milk. If contaminated fodder leads to carry-over into milk, this would affect dairy ingredient risk profiles, but that carry-over is uncharacterised. Not a direct evidence source for milk or dairy product concentration profiles.
Courses: Useful case study for supply-chain contamination pathways: urbanisation creates pressure on animal producers to use contaminated environmental forage, which may enter the human food chain through dairy. Illustrates Cr, Pb, and As co-contamination in urban lake vegetation at concentrations well above animal feed thresholds.
App: Not usable as a food-occurrence data source; the endpoint is cattle feed, not human food matrices.
Microbiome: Not applicable.
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Update history
The five most recent substantive edits to this page, classified major (evidence or structure moved), correction (a published value or statement was wrong and has been fixed), or minor (narrative rewritten without changing the underlying evidence). Each description is derived from what the edit did to this page; the linked commit is the authoritative record, routine regeneration passes are excluded, and 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 | Change | Description |
|---|---|---|---|
| a8052bb | 2026-08-09 | major | 6 sections added; narrative text revised |