title: Predicting criteria continuous concentrations of 34 metals or metalloids by use of quantitative ion character-activity relationships-species sensitivity distributions (QICAR-SSD) model.
abstract: Criteria continuous concentrations (CCCs) are useful for describing chronic exposure to pollutants and setting water quality standards to protect aquatic life. However, because of financial, practical, or ethical restrictions on toxicity testing, few data are available to derive CCCs. In this study, CCCs for 34 metals or metalloids were derived using quantitative ion character-activity relationships-species sensitivity distributions (QICAR-SSD) and the final acute-chronic ratio (FACR) method. The results showed that chronic toxic potencies were correlated with several physico-chemical properties among eight species chosen, where the softness index was the most predictive characteristic. Predicted CCCs for most of the metals, except for Lead and Iron, were within a range of 10-fold of values recommended by the U.S. EPA. The QICAR-SSD model was superior to the FACR method for prediction of data-poor metals. This would have significance for predicting toxic potencies and criteria thresholds of more metals or metalloids.
authors.affiliation: State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
authors.forename: Yunsong
authors.initials: Y
authors.lastname: Mu
authors.affiliation: State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. Electronic address: wufengchang@vip.skleg.cn.
authors.forename: Fengchang
authors.initials: F
authors.lastname: Wu
authors.affiliation: State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
authors.forename: Cheng
authors.initials: C
authors.lastname: Chen
authors.affiliation: State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
authors.forename: Yuedan
authors.initials: Y
authors.lastname: Liu
authors.affiliation: State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
authors.forename: Xiaoli
authors.initials: X
authors.lastname: Zhao
authors.affiliation: State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
authors.lastname: Haiqing Liao
authors.affiliation: Department of Veterinary Biomedical Sciences and Toxicology Centre, University of Saskatchewan, Saskatoon, Saskatchewan, Canada; Zoology Department and Center for Integrative Toxicology, Michigan State University, East Lansing, MI 48824, United States.
authors.forename: John P
authors.initials: JP
authors.lastname: Giesy
mesh_terms: D058955:Metalloids / Q000032:analysis* / Q000633:toxicity; D008670:Metals / Q000032:analysis* / Q000633:toxicity; D008954:Models, Biological; D008956:Models, Chemical; D013045:Species Specificity; D018675:Toxicity Tests; D014874:Water Pollutants, Chemical / Q000032:analysis* / Q000633:toxicity; D060753:Water Quality
chemical_list: D058955:Metalloids; D008670:Metals; D014874:Water Pollutants, Chemical
keywords: Aquatic life; Chronic toxicity; Multispecies; Predictive model; Species sensitivity distributions; Water quality criteria