Joint Toxicity of Lead, Chromium, Cobalt and Nickel to Photobacterium phosphoreum at No Observed Effect Concentration

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• 作者：Yaling Zeng ; Lan Wang ; Long Jiang…
• 关键词：Heavy metal ; Joint toxicity ; BP ; artificial neural network ; Michaelis–Menten kinetic model ; Concentration addition
• 刊名：Bulletin of Environmental Contamination and Toxicology
• 出版年：2015
• 出版时间：August 2015
• 年：2015
• 卷：95
• 期：2
• 页码：260-264
• 全文大小：645 KB
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• 作者单位：Yaling Zeng (1) (2)
  Lan Wang (1) (2)
  Long Jiang (1) (2)
  Xiaoyu Cai (1) (2)
  Yu Li (1) (2)
  
  1. Resources and Environmental Research Academy, North China Electric Power University, Beijing, 102206, China
  2. MOE Key Laboratory of Regional Energy Systems Optimization, North China Electric Power University, Beijing, 102206, China
  
• 刊物主题：Pollution, general; Environmental Health; Ecotoxicology; Soil Science & Conservation; Environmental Chemistry; Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution;
• 出版者：Springer US
• ISSN：1432-0800

文摘

Joint toxicity of Pb2+, Cr3+, Co2+ and Ni2+ toward Photobacterium phosphoreum (Ph. phosphoreum) at the no observed effect concentration (NOEC) was determined through a factorial experiment. A neural network model was designed according to experimental results and employed for toxicity prediction of unary, binary, ternary and quaternary combinations. The mechanism and trends of joint toxicity were interpreted by quantitative structure–activity relationship, Michaelis–Menten kinetic model, and concentration addition (CA) theory. Toxicity was directly related to the covalent index (X m 2 r), covalent binding reaction presented a first and zero order reaction at low and high concentration, respectively, and CA accurately predicted toxicity. Additionally, the results showed that low concentrations of heavy metals should be considered when conducting environment risk assessment.