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Nature and prevalence of non-additive toxic effects in industrially relevant mixtures of organic chemicals

机译:工业相关有机化学品混合物中非累加毒性作用的性质和普遍性

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摘要

The concentration addition (CA) and the independent action (IA) models are widely used for predicting mixture toxicity based on its composition and individual component dose-response profiles. However, the prediction based on these models may be inaccurate due to interaction among mixture components. In this work, the nature and prevalence of non-additive effects were explored for binary, ternary and quaternary mixtures composed of hydrophobic organic compounds (HOCs). The toxicity of each individual component and mixture was determined using the Vibrio fischeri bioluminescence inhibition assay. For each combination of chemicals specified by the 2~n factorial design, the percent deviation of the predicted toxic effect from the measured value was used to characterize mixtures as synergistic (positive deviation) and antagonistic (negative deviation). An arbitrary classification scheme was proposed based on the magnitude of deviation (d) as: additive (≤10%, class-Ⅰ) and moderately (1050%, class-Ⅳ) antagonistic/synergistic. Naphthalene, n-butanol. o-xylene, catechol and p-cresol led to synergism in mixtures while 1, 2, 4-trimethylbenzene and 1, 3-dimethylnaphthalene contributed to antagonism. Most of the mixtures depicted additive or antagonistic effect. Synergism was prominent in some of the mixtures, such as, pulp and paper, textile dyes, and a mixture composed of polynuclear aromatic hydrocarbons. The organic chemical industry mixture depicted the highest abundance of antagonism and least synergism. Mixture toxicity was found to depend on partition coefficient, molecular connectivity index and relative concentration of the components.
机译:浓度增加(CA)和独立作用(IA)模型被广泛用于基于混合物的组成和各个组分的剂量反应曲线预测混合物毒性。但是,由于混合物成分之间的相互作用,基于这些模型的预测可能不准确。在这项工作中,探索了由疏水性有机化合物(HOC)组成的二元,三元和四元混合物的非加性效应的性质和普遍性。使用费氏弧菌生物发光抑制测定法确定每种单独成分和混合物的毒性。对于2〜n因子设计指定的每种化学品组合,使用预测毒性作用与测量值的百分比偏差将混合物表征为协同(正偏差)和拮抗(负偏差)。根据偏差(d)的大小,提出了一个任意的分类方案:添加剂(≤10%,Ⅰ类)和中等(10 50%,Ⅳ类)的拮抗/协同作用。萘,正丁醇。邻二甲苯,邻苯二酚和对甲酚在混合物中产生协同作用,而1,2,4-三甲基苯和1,3-二甲基萘则起到拮抗作用。大多数混合物表现出加和或拮抗作用。在某些混合物中,例如纸浆和纸张,纺织品染料以及由多核芳香烃组成的混合物,增效作用很明显。有机化学工业混合物表现出最高的拮抗作用和最低的协同作用。发现混合物毒性取决于分配系数,分子连接指数和组分的相对浓度。

著录项

  • 来源
    《Chemosphere》 |2009年第11期|1429-1439|共11页
  • 作者单位

    Centre for Environmental Science and Engineering, Indian Institute of Technology, Bombay, Powai, Mumbai 400076, India;

    Department of Chemical Engineering, Indian Institute of Technology, Bombay, Powai, Mumbai 400076, India;

    Centre for Environmental Science and Engineering, Indian Institute of Technology, Bombay, Powai, Mumbai 400076, India;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    concentration addition; independent action; synergism; factorial design; risk assessment;

    机译:浓度增加;独立行动;协同作用析因设计;风险评估;

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