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Prediction and risk assessment of five heavy metals in maize and peanut: A case study of Guangxi, China

机译:玉米和花生中五种重金属的预测和风险评估:以广西为例

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摘要

To assess the contamination levels and health risk of cadmium (Cd), copper (Cu), mercury (Hg), lead (Pb), and zinc (Zn) to human beings, the concentrations of these heavy metals in soil were surveyed and the concentrations in maize and peanut grains were estimated by models. The geo-accumulation index (I (geo)) was calculated, and chronic daily intake (CDI), hazard quotient (HQ) and hazard index (HI) were estimated. Results indicated that the concentrations of Cd, Cu, Hg, Pb, and Zn in the soil samples exceeded the limit set by authorities in China. However, the concentrations in maize and peanut grains were rarely higher than the allowable concentrations suggested by the Ministry of Health of China (MHC). In accordance with geo-accumulation, these heavy metals in soil samples were polluted to different extents. Prediction models were developed to effectively assess the health risk of using TOC, Mn, pH, and CaO to human beings. Therefore, the concentrations of these heavy metals in the grains could be decreased by changing their levels in soil. The CDI, HQ, and HI were estimated by estimating concentrations of Cd, Cu, Pb, and Zn in maize grains, indicating that these metals exhibited a slight health risk to adult residents.
机译:为了评估镉(Cd),铜(Cu),汞(Hg),铅(Pb)和锌(Zn)对人类的污染水平和健康风险,对土壤中这些重金属的浓度进行了调查,通过模型估算玉米和花生籽粒中的浓度。计算了地理累积指数(I(geo)),并估计了长期每日摄入量(CDI),危险商(HQ)和危险指数(HI)。结果表明,土壤样品中Cd,Cu,Hg,Pb和Zn的含量超过了中国有关部门规定的限值。但是,玉米和花生籽粒中的浓度很少高于中国卫生部(MHC)建议的允许浓度。根据地理累积,土壤样品中的这些重金属受到不同程度的污染。开发了预测模型,以有效评估使用TOC,Mn,pH和CaO对人类的健康风险。因此,可以通过改变土壤中的重金属含量来降低谷物中这些重金属的浓度。通过估算玉米籽粒中Cd,Cu,Pb和Zn的浓度来估算CDI,HQ和HI,表明这些金属对成年居民的健康危害很小。

著录项

  • 来源
    《Environmental toxicology and pharmacology》 |2019年第8期|103199.1-103199.8|共8页
  • 作者单位

    China Univ Geosci, Sch Earth Sci & Resources, Beijing 100083, Peoples R China;

    China Univ Geosci, Sch Sci, Beijing 100083, Peoples R China;

    China Univ Geosci, Sch Earth Sci & Resources, Beijing 100083, Peoples R China|Minist Nat Resources, Key Lab Ecol Geochem, Beijing 100037, Peoples R China;

    Nanjing Univ, Nanjing 210023, Jiangsu, Peoples R China;

    China Univ Geosci, Sch Earth Sci & Resources, Beijing 100083, Peoples R China;

    Geol Team 4 Guangxi Zhuang Auton Reg, Nanning 530031, Peoples R China;

    Guangxi Geophys Invest Inst, Liuzhou 545005, Peoples R China;

    Guangxi Bur Geol & Mineral Prospecting & Exploita, Nanning 530023, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Heavy metals; Maize and peanut; Prediction models; Risk assessment;

    机译:重金属;玉米和花生;预测模型;风险评估;

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