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中国江苏省南部通过食用大米,镉从受污染土壤转移至人体。

Cadmium transfer from contaminated soils to the human body through rice consumption in southern Jiangsu Province, China.

作者信息

Li Tianyuan, Chang Qing, Yuan Xuyin, Li Jizhou, Ayoko Godwin A, Frost Ray L, Chen Hongyan, Zhang Xinjian, Song Yinxian, Song Wenzhi

机构信息

Shandong Provincial Key Laboratory of Applied Microbiology, Ecology Institute, Shandong Academy of Science, Jinan 250014, Shandong Province, P. R. China.

出版信息

Environ Sci Process Impacts. 2017 Jun 21;19(6):843-850. doi: 10.1039/c6em00631k.

DOI:10.1039/c6em00631k
PMID:28516984
Abstract

Consumption of crops grown in cadmium-contaminated soils is an important Cd exposure route to humans. The present study utilizes statistical analysis and in vitro digestion experiments to uncover the transfer processes of Cd from soils to the human body through rice consumption. Here, a model was created to predict the levels of bioaccessible Cd in rice grains using phytoavailable Cd quantities in the soil. During the in vitro digestion, a relatively constant ratio between the total and bioaccessible Cd in rice was observed. About 14.89% of Cd in soils was found to be transferred into rice grains and up to 3.19% could be transferred from rice grains to the human body. This model was able to sufficiently predict rice grain cadmium concentrations based on CaCl extracted zinc and cadmium concentrations in soils (R = 0.862). The bioaccessible Cd concentration in rice grains was also able to be predicted using CaCl extracted cadmium from soil (R = 0.892). The models established in this study demonstrated that CaCl is a suitable indicator of total rice Cd concentrations and bioaccessible rice grain Cd concentrations. The chain model approach proposed in this study can be used for the fast and accurate evaluation of human Cd exposure through rice consumption based on the soil conditions in contaminated regions.

摘要

食用在镉污染土壤中种植的作物是人类接触镉的一条重要途径。本研究利用统计分析和体外消化实验,揭示镉通过食用大米从土壤转移到人体的过程。在此,建立了一个模型,利用土壤中植物可利用的镉含量来预测大米籽粒中生物可利用镉的水平。在体外消化过程中,观察到大米中总镉与生物可利用镉之间存在相对恒定的比例。发现土壤中约14.89%的镉转移到大米籽粒中,高达3.19%的镉可从大米籽粒转移到人体。该模型能够根据土壤中氯化钙提取的锌和镉浓度充分预测大米籽粒中的镉浓度(R = 0.862)。也能够利用土壤中氯化钙提取的镉来预测大米籽粒中生物可利用镉的浓度(R = 0.892)。本研究建立的模型表明,氯化钙是大米总镉浓度和大米籽粒生物可利用镉浓度的合适指标。本研究提出的链式模型方法可用于根据污染地区的土壤条件,快速准确地评估通过食用大米对人体镉暴露情况。

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