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Heavy Metal Index

Assessment of the Risk of Heavy Metals Accumulation in Vegetable Crops

Bashkin and Galiulina review vegetable-associated metal exposure assessment and microbial/agronomic risk-management approaches.

Bashkin and Galiulina review vegetable-associated metal exposure assessment and microbial/agronomic risk-management approaches. Chinese and Russian case-study values are secondary reports; they remain traceable to the cited studies and are not counted as new independent occurrence samples.

Key numbers

Dabaoshan-region estimated dietary intakes,µg/day (review Table 3):

SiteFoodCuZnPbCd
ZXrice197711693516229
ZXvegetables32723574759
ZXreported total230414050563287
FDrice19619447371406
FDvegetables29033444553
FDreported total225112791416459
LQrice232211172476269
LQvegetables33921043927
LQreported total266113276514296
SBrice172111127425170
SBvegetables35225594957
SBreported total207313685474226

Tomsk Table 4 preserves 31 crop/metal mean, min, max and dose rows in structured context; Table 5 preserves 11 dose/reference-dose/HQ triplets. Reported combined non-cancer hazard index 1.745 is a historical source-model result.

Methods (brief)

Narrative synthesis of hazard identification, exposure, dose-response, risk characterization and management. Dabaoshan Tables 3/Figure 1 derive from refs 27–28; Tomsk Tables 4–5/Figure 2 derive from ref 46. Discusses Monte Carlo uncertainty modeling and rhizosphere bacteria that may immobilize metals or alter uptake. No new sampling or systematic review search protocol is described.

Implications

Supports exposure-method and remediation literature discovery. Bacterial effects can increase as well as decrease uptake depending on organism, metal and plant; the review does not establish a universal inoculant intervention. Secondary model outputs are not contemporary health or certification thresholds.

Evidence Fitness: EF-3 for narrative/secondary evidence and EF-X for internally impossible Table 4 summary combinations until original studies resolve them. Preserve provenance without double-counting source datasets.

Wiki pages this source may touch

Verification notes

Novel literature-exposure-model and secondary-vegetable-summary matrices separate review quotations from independent food data. Table 4 potato Ba mean 0.7 exceeds max 0.2; beet/carrotCu mean 0.3 is below min 1.69 and max 1.4; cabbage Hg mean 8e-5 exceeds max 1.75e-5. These contradictions are source errors, not repaired by inference. Historical reference-dose/limit tables are secondary context, never verified regulations. Table 3 totals occasionally differ from their component sums. Primary contribution is risk-method synthesis with microbial mitigation discussion, not a new metal–microbiome experiment.

Strontium is preserved in the structured context records but has no dedicated metal page; the source and soil-to-plant hub retain that route gap. Historical comparator columns and Figure 2 are explicitly recorded as secondary context dispositions.

The preserved Library PDF is identified by RPHMI_16; SHA-256 8bc79e16d1089e871db38f2f00f3c46cbc619aac569458c47d5407cdc5b7950e. The byline, year and publication were verified in the PDF. DOI provenance and any publication-date differences are described above. Original access location: https://www.risk-journal.com/jour/article/viewFile/509/357. Source-specific numeric observations, context dispositions, row-fit decisions and remaining gaps are preserved in the structured evidence record. No source value was converted across product, soil, water or experimental matrices during ingest.

Update history

No substantive edit history is available in this build. The full commit record is available in git.