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    赵洪霞

    • 教授     博士生导师   硕士生导师
    • 性别:女
    • 毕业院校:中国科学院大连化学物理研究所
    • 学位:博士
    • 所在单位:环境学院
    • 学科:环境科学. 环境工程
    • 办公地点:环境楼B709
    • 联系方式:hxzhao@dlut.edu.cn
    • 电子邮箱:hxzhao@dlut.edu.cn

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    Measurement and prediction of bioconcentration factors of organophosphate flame retardants in common carp (Cyprinus carpio)

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    论文类型:期刊论文

    第一作者:Bekele, Tadiyose Girma

    通讯作者:Zhao, HX (reprint author), Dalian Univ Technol, Sch Environm Sci & Technol, Key Lab Ind Ecol & Environm Engn MOE, Dalian 116024, Peoples R China.

    合写作者:Zhao, Hongxia,Wang, Yan,Jiang, Jingqiu,Tan, Feng

    发表时间:2018-12-30

    发表刊物:ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

    收录刊物:PubMed、SCIE、Scopus

    卷号:166

    页面范围:270-276

    ISSN号:0147-6513

    关键字:Organophosphate flame retardants; Common carp; Bioconcentration; Tissue distribution; QSAR

    摘要:The increase in the production and usage plus the toxicity nature of organophosphate flame retardants (OPFRs) has become a concern. However, limited information is available about the bioaccumulation potential of OPFRs in fish. In this study, we determined the 96 h LC50 s, and evaluated the bioaccumulation potential of six most frequently reported OPFRs in gill, kidney, liver, and muscle tissues of common carp (Cyprinus carpio) for 48 d, and a quantitative structure-activity relationship (QSAR) model was developed to predict bioconcentration factors (BCFs) for the remaining 16 OPFRs. The BCFs and half-lives (t(1/2)) in the tissues ranged from 6.54 (Tris (2-chloroisopropyl) phosphate, (TCPP)) to 528.15 (Tris (2-ethylhexyl) phosphate (TEHP)), and 2.25-5.78 days, respectively. The tissue-specific concentration and BCFs values followed the order of liver > kidney >= intestine > > muscle. The proposed QSAR model with a high cross-validated value (Q(2) ((cum))) of 0.930 and a correlation coefficient of 0.94 was obtained and was able to predict log BCF from parameters related to molar volume and isotropic average static field polarizability. The results show that the model has a high level of accuracy, making the proposed approach a suitable method for predicting the log BCF.