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- W4307983343 endingPage "159819" @default.
- W4307983343 startingPage "159819" @default.
- W4307983343 abstract "Unintentional ingestion of metal-contaminated soils may pose a great threat to human health. To accurately evaluate the health risks of heavy metal(loid)s in soils, their bioaccessibility has been widely determined by in vitro assays and increasingly employed to optimize the assessment parameters. Given that, using meta-analysis, we analyzed the literature on farmland heavy metal(loid)s (As, Cd, Cr, Cu, Hg, Pb, Ni, and Zn) in Chinese main grain production regions, and collected their total and bioaccessibility data to accurately assess their human health risks. Monte Carlo simulation was used to reduce the uncertainty in metal concentration, intake rate, toxicity coefficient, and body weight. We found that the mean concentration (0.47 mg/kg) and geological accumulation index (Igeo, 0-5.24) of Cd were the priority position of controlling metals. Moreover, children are more vulnerable to carcinogenic risks than adults. Soil mineralogy, physicochemical properties, Fe, and the types of in vitro assays are the influencing factors of bioaccessibility discrepancy. Furthermore, appropriate bioaccessibility determination methods can be adapted according to the differences in ecological receptors for the risk assessment, like developing a personalized assessment scheme for polluted farmland soil management. Collectively, bioaccessibility-based models may provide an accurate and effective approach to human health risk assessment." @default.
- W4307983343 created "2022-11-07" @default.
- W4307983343 creator A5003343221 @default.
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- W4307983343 creator A5088532661 @default.
- W4307983343 date "2023-02-01" @default.
- W4307983343 modified "2023-09-29" @default.
- W4307983343 title "Heavy metal(loid)s in agricultural soil from main grain production regions of China: Bioaccessibility and health risks to humans" @default.
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- W4307983343 doi "https://doi.org/10.1016/j.scitotenv.2022.159819" @default.
- W4307983343 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36334671" @default.
- W4307983343 hasPublicationYear "2023" @default.
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