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首页> 外文期刊>Environmental Pollution >Extended biotic ligand model for predicting combined Cu-Zn toxicity to wheat (Triticum aestivum L.): Incorporating the effects of concentration ratio, major cations and pH
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Extended biotic ligand model for predicting combined Cu-Zn toxicity to wheat (Triticum aestivum L.): Incorporating the effects of concentration ratio, major cations and pH

机译:扩展的生物配体模型,用于预测Cu-Zn对小麦的综合毒性:结合浓度比,主要阳离子和pH的影响

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摘要

Current risk assessment models for metals such as the biotic ligand model (BLM) are usually applied to individual metals, yet toxic metals are rarely found singly in the environment. In the present research, the toxicity of Cu and Zn alone and together were studied in wheat (Triticum aestivum L.) using different Ca2+ and Mg2+ concentrations, pH levels and Zn:Cu concentration ratios. The aim of the study was to better understand the toxicity effects of these two metals using BLMs and toxic units (TUs) from single and combined metal toxicity data. The results of single-metal toxicity tests showed that toxicity of Cu and Zn tended to decrease with increasing Ca2+ or Me2+ concentrations, and that the effects of pH on Cu and Zn toxicity were related not only to free Cu2+ and Zn2+ activity, respectively, but also to other inorganic metal complex species. For the metal mixture, Cu Zn interactions based on free ion activities were primarily additive for the different Ca2+ and Mg2+ concentrations and levels of pH. The toxicity data of individual metals derived by the BLM, which incorporated Ca2+ and Mg2+ competition and toxicity of inorganic metal complexes in a single-metal toxicity assessment, could predict the combined toxicity as a function of TU. There was good performance between the predicted and observed effects (root mean square error [RMSE] = 7.15, R-2 = 0.97) compared to that using a TU method with a model based on free ion activity (RMSE = 14.29, R-2 = 0.86). The overall findings indicated that bioavailability models that include those biochemistry processes may accurately predict the toxicity of metal mixtures. (C) 2017 Elsevier Ltd. All rights reserved.
机译:当前金属的风险评估模型(例如生物配体模型(BLM))通常应用于单个金属,但是在环境中很少发现有毒金属。在本研究中,使用不同的Ca2 +和Mg2 +浓度,pH值和Zn:Cu浓度比,研究了Cu和Zn单独以及一起在小麦(Triticum aestivum L.)中的毒性。这项研究的目的是使用BLM和有毒金属单位(TU)从单一和组合金属毒性数据中更好地了解这两种金属的毒性作用。单金属毒性试验的结果表明,铜和锌的毒性随Ca2 +或Me2 +浓度的增加而趋于降低,pH对Cu和Zn毒性的影响不仅与游离Cu2 +和Zn2 +活性有关,而且与也适用于其他无机金属络合物物种。对于金属混合物,基于自由离子活性的Cu Zn相互作用主要是不同Ca2 +和Mg2 +浓度以及pH值的加和作用。 BLM衍生的单个金属的毒性数据将Ca2 +和Mg2 +的竞争以及无机金属配合物的毒性结合到单金属毒性评估中,可以预测组合毒性作为TU的函数。与使用TU方法和基于游离离子活度的模型(RMSE = 14.29,R-2)相比,预测和观察到的效果之间具有良好的性能(均方根误差[RMSE] = 7.15,R-2 = 0.97)。 = 0.86)。总体发现表明,包括那些生物化学过程的生物利用度模型可以准确地预测金属混合物的毒性。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Environmental Pollution》 |2017年第11期|210-217|共8页
  • 作者单位

    Capital Normal Univ, Coll Resource Environm & Tourism, Key Lab Resource Environm & GIS, 105 North Rd Xisanhuan, Beijing 100048, Peoples R China;

    Capital Normal Univ, Coll Resource Environm & Tourism, Key Lab Resource Environm & GIS, 105 North Rd Xisanhuan, Beijing 100048, Peoples R China;

    Capital Normal Univ, Coll Resource Environm & Tourism, Key Lab Resource Environm & GIS, 105 North Rd Xisanhuan, Beijing 100048, Peoples R China;

    Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, 12 Southern St Zhongguancun, Beijing 100081, Peoples R China|Univ Jinan, Sch Resources & Environm, Jinan 250022, Shandong, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Ctr Environm Remediat, Beijing 100101, Peoples R China;

    Capital Normal Univ, Coll Resource Environm & Tourism, Key Lab Resource Environm & GIS, 105 North Rd Xisanhuan, Beijing 100048, Peoples R China;

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

    Combined toxicity; Metal; Plant; Toxic unit; Biotic ligand model;

    机译:组合毒性;金属;植物;毒性单位;生物配体模型;

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