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根据金属/类金属的物理化学性质预测的保护人体健康的效应剂量。

Effect doses for protection of human health predicted from physicochemical properties of metals/metalloids.

作者信息

Wang Ying, Wu Fengchang, Liu Yuedan, Mu Yunsong, Giesy John P, Meng Wei, Hu Qing, Liu Jing, Dang Zhi

机构信息

State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.

State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.

出版信息

Environ Pollut. 2018 Jan;232:458-466. doi: 10.1016/j.envpol.2017.09.065. Epub 2017 Oct 5.

DOI:10.1016/j.envpol.2017.09.065
PMID:28987569
Abstract

Effect doses (EDs) of metals/metalloids, usually obtained from toxicological experiments are required for developing environmental quality criteria/standards for use in assessment of hazard or risks. However, because in vivo tests are time-consuming, costly and sometimes impossible to conduct, among more than 60 metals/metalloids, there are sufficient data for development of EDs for only approximately 25 metals/metalloids. Hence, it was deemed a challenge to derive EDs for additional metals by use of alternative methods. This study found significant relationships between EDs and physicochemical parameters for twenty-five metals/metalloids. Elements were divided into three classes and then three individual empirical models were developed based on the most relevant parameters for each class. These parameters included log-βn, ΔE and Xr, respectively (R = 0.988, 0.839, 0.871, P < 0.01). Those models can satisfactorily predict EDs for another 25 metals/metalloids. Here, these alternative models for deriving thresholds of toxicity that could be used to perform preliminarily, screen-level health assessments for metals are presented.

摘要

制定用于危害或风险评估的环境质量标准需要金属/类金属的效应剂量(EDs),通常从毒理学实验中获得。然而,由于体内试验耗时、成本高且有时无法进行,在60多种金属/类金属中,仅有约25种金属/类金属有足够的数据来制定效应剂量。因此,利用替代方法推导其他金属的效应剂量被视为一项挑战。本研究发现25种金属/类金属的效应剂量与物理化学参数之间存在显著关系。将元素分为三类,然后根据每类最相关的参数建立了三个单独的经验模型。这些参数分别包括log-βn、ΔE和Xr(R = 0.988、0.839、0.871,P < 0.01)。这些模型可以令人满意地预测另外25种金属/类金属的效应剂量。在此,提出了这些用于推导毒性阈值的替代模型,可用于对金属进行初步的筛选级健康评估。

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