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Godwill et al. 2015 - Soft-drink heavy metals in Nigeria

Godwill and colleagues measured cadmium, lead, and total mercury in 26 Nigerian soft-drink and juice samples purchased from local grocery stores in Enugu, Enugu State. Heavy metals were quantified by atomic absorption spectrophotometry after nitric-acid digestion. The paper reports lead in all samples, mercury in most samples, and cadmium in one sample, with all concentration units preserved as mg/L.

Key numbers

  • Sample frame: 26 soft-drink and juice samples purchased from local grocery stores in Enugu, Enugu State, Nigeria.
  • Cadmium: Table 3 reports cadmium as detectable in 1 of 26 samples at 0.149 mg/L; the remaining 25 samples are reported as ND. Table 3 reports Cd mean 0.0057 mg/L and S.D. 0.029.
  • Lead: Table 3 reports lead in all 26 samples, with values from 0.171 mg/L to 3.392 mg/L; the abstract/results prose summarizes this as 0.17 to 3.39 mg/L with a mean of 0.8, while Table 3 reports mean 0.81 mg/L and S.D. 0.74.
  • Total mercury: Table 3 reports total mercury as ND in 4 of 26 samples and quantified in 22 samples. Table 3 quantified values span 0.069 mg/L to 11.325 mg/L, with mean 2.08 mg/L and S.D. 3.08. The abstract/results prose instead summarizes the range as 0.29 to 11.32 mg/L; the table values are preserved here and the mismatch is flagged in Verification notes.
  • Table 3 comparison values are reported as MCLG/MCL 0.005/0.005 mg/L for cadmium, 0.00/0.015 mg/L for lead, and 0.002/0.002 mg/L for mercury.
  • The paper also reports pH values from 2 to 5 in Table 2, with mean pH 3.62 and S.D. 0.75; acid levels ranged from 3.26 g/L to 13.06 g/L, with mean 10.91 g/L and S.D. 2.36.

Methods (brief)

The authors digested 25 ml of each beverage sample with 10 ml of 69% concentrated nitric acid, evaporated the mixture until brown fumes disappeared, diluted/concentrated the digest, made up the final volume to 50 ml, filtered it, and analyzed the solution by atomic absorption spectrophotometer using a Varian AA240 model. Calibration solutions were prepared from 1000 ppm stock standards, and absorbance was measured at 228.8, 283.3, and 253.7 nm for cadmium, lead, and mercury respectively. The paper reports total cadmium, total lead, and total mercury only; mercury is not speciated into methylmercury or inorganic mercury. It does not report LOD/LOQ values beyond using ND in Table 3.

Implications

Certification (HMTc): This is direct occurrence evidence for Nigerian-market finished beverages, especially the soft-drinks-carbonated-beverages and fruit-juices-non-apple product families. The data are exploratory, small-n, and brand-named in the original table, so this source page keeps the occurrence signal at product-category level and does not reproduce brand-by-brand values.

Courses: The paper is useful for teaching why beverage occurrence values must preserve liquid units (mg/L) and why a source-internal table/prose mismatch should be flagged rather than silently harmonized.

App: The source can contribute Cd, Pb, and tHg occurrence context for beverages, soft-drink-bases, and fruit-juice ingredient profiles in the Nigerian market.

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Verification notes

  • PDF text was extracted with pdftotext -layout to /tmp/mfk_june8_565.txt; the abstract, Materials and methods, Results, Table 2, Table 3, Discussion, and Conclusion were checked against this page.
  • DOI 10.1016/j.toxrep.2015.01.014, raw handle MFK_determination-of-some-soft-drink-constituents, and cite-key path wiki/sources/godwill2015-soft-drinks-metals-nigeria.md were checked before creation; no existing source page was found.
  • Numbers in Key numbers are copied from Table 2, Table 3, the abstract, and Results without unit conversion. The mercury range discrepancy is source-internal: Table 3 includes quantified values below 0.29 mg/L, while the abstract/results prose states 0.29 to 11.32 mg/L.
  • Speciation: the paper reports cadmium, lead, and mercury by AAS with no species separation. Mercury is therefore recorded as tHg, not MeHg.
  • Brand firewall: the original table lists named beverages. This page omits sample names and reports only aggregate/category-level findings.
  • Frontmatter slugs were checked against docs/gpt-collaboration/taxonomy-snapshot.md; beverage and soft-drink are matrix descriptors rather than product or ingredient slugs.

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
4039d202026-06-10scope: broaden ingest to the full upstream+downstream literature (marine, atmospheric, attribution, exposure, toxicology) — inclusion is the default