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Effect doses for protection of human health predicted from physicochemical properties of metals/metalloids.
Wang, Ying; Wu, Fengchang; Liu, Yuedan; Mu, Yunsong; Giesy, John P; Meng, Wei; Hu, Qing; Liu, Jing; Dang, Zhi.
Affiliation
  • Wang Y; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
  • Wu F; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. Electronic address: wufengchang@vip.skleg.cn.
  • Liu Y; The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, MEP, Guangzhou 510065, China.
  • Mu Y; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
  • Giesy JP; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Department of Veterinary Biomedical Sciences and Toxicology Centre, University of Saskatchewan, Saskatoon S7N 5B3, Canada.
  • Meng W; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
  • Hu Q; Engineering Technology Innovation Center (Beijing), South University of Science and Technology, Shenzhen 518055, China.
  • Liu J; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Environmental Science Department, Baylor University, 76798, USA.
  • Dang Z; School of Environmental Science and Engineering, South China University of Technology, University Town, Guangzhou 510640, China.
Environ Pollut ; 232: 458-466, 2018 Jan.
Article in En | MEDLINE | ID: mdl-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-ßn, ΔE0 and Xm2r, respectively (R2 = 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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Environmental Exposure / Environmental Pollutants / Metalloids / Metals Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Environ Pollut Journal subject: SAUDE AMBIENTAL Year: 2018 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Environmental Exposure / Environmental Pollutants / Metalloids / Metals Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Environ Pollut Journal subject: SAUDE AMBIENTAL Year: 2018 Document type: Article Affiliation country: China