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中国主要粮食产区农田土壤重金属(类)的赋存形态及其生物有效性和健康风险

Heavy metal(loid)s in agricultural soil from main grain production regions of China: Bioaccessibility and health risks to humans.

机构信息

Yunnan Innovative Research Team of Environmental Pollution, Food Safety, and Human Health, Institute of Environmental Remediation and Human Health, School of Ecology and Environment, Southwest Forestry University, Kunming 650224, China.

Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650500, China.

出版信息

Sci Total Environ. 2023 Feb 1;858(Pt 2):159819. doi: 10.1016/j.scitotenv.2022.159819. Epub 2022 Nov 2.

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 (I, 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.

摘要

无意摄入受金属污染的土壤可能对人类健康构成巨大威胁。为了准确评估土壤中重金属(类金属)的健康风险,人们广泛采用了体外检测法来测定其生物可给性,并逐渐将其应用于优化评估参数。因此,我们运用荟萃分析方法,分析了中国主要粮食产区农田重金属(砷、镉、铬、铜、汞、铅、镍和锌)的文献,并收集了其总量和生物可给性数据,以准确评估其对人类健康的风险。蒙特卡罗模拟法用于降低金属浓度、摄入量、毒性系数和体重的不确定性。我们发现,镉的平均浓度(0.47 毫克/千克)和地质累积指数(I,0-5.24)是优先需要控制的金属。此外,儿童比成年人更容易受到致癌风险的影响。土壤矿物学、理化性质、铁和体外检测方法的类型是生物可给性差异的影响因素。此外,还可以根据生态受体的差异,选择合适的生物可给性测定方法,用于风险评估,例如,为污染农田土壤管理制定“个性化评估”方案。总之,基于生物可给性的模型可能为人类健康风险评估提供一种准确而有效的方法。

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