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首页> 外文期刊>Environmental Science & Technology >Evaluating Alternate Biokinetic Models for Trace Pollutant Cometabolism
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Evaluating Alternate Biokinetic Models for Trace Pollutant Cometabolism

机译：评估痕量污染物代谢的替代生物动力学模型

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摘要

Mathematical models of cometabolic biodegradation kinetics can improve our understanding of the relevant microbial reactions and allow us to design in situ or in-reactor applications of cometabolic bioremediation. A variety of models are available, but their ability to describe experimental data has not been systematically evaluated for a variety of operational/ experimental conditions. Here five different models were considered: first-order; Michaelis-Menten; reductant; competition; and combined models. The models were assessed on their ability to fit data from simulated batch experiments covering a realistic range of experimental conditions. The simulated observations were generated by using the most complex model structure and parameters based on the literature, with added experimental error. Three criteria were used to evaluate model fit: ability to fit the simulated experimental data, identifiability of parameters using a colinearity analysis, and suitability of the model size and complexity using the Bayesian and Akaike Information criteria. Results show that no single model fits data well for a range of experimental conditions. The reductant model achieved best results, but required very different parameter sets to simulate each experiment. Parameter nonuniqueness was likely to be due to the parameter correlation. These results suggest that the cometabolic models must be further developed if they are to reliably simulate experimental and operational data.
机译：代谢生物降解动力学的数学模型可以增进我们对相关微生物反应的理解，并允许我们设计代谢生物修复的原位或反应器应用。可以使用多种模型，但是尚未针对各种操作/实验条件对它们描述实验数据的能力进行系统评估。这里考虑了五种不同的模型：一阶模型；二阶模型。 Michaelis-Menten；还原剂竞争;和组合模型。对模型的拟合能力进行了评估，这些模型拟合了涵盖实际条件的模拟批处理实验的数据。模拟观察是根据文献使用最复杂的模型结构和参数生成的，并增加了实验误差。使用三个标准来评估模型拟合：拟合模拟实验数据的能力，使用共线性分析的参数可识别性以及使用贝叶斯和Akaike信息标准对模型大小和复杂性的适用性。结果表明，没有一个模型能够很好地拟合一系列实验条件的数据。还原剂模型获得了最佳结果，但需要非常不同的参数集来模拟每个实验。参数不唯一性可能是由于参数相关性造成的。这些结果表明，如果要可靠地模拟实验和操作数据，必须进一步开发新陈代谢模型。

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  • 来源
    《Environmental Science & Technology》 |2015年第4期|2230-2236|共7页
  • 作者

    Li Liu; Philip J. Binning; Barth F. Smets;

  • 作者单位

    Department of Environmental Engineering, Technical, University of Denmark, Bygningstorvet 115, 2800 Kgs.Lyngby, Denmark;

    Department of Environmental Engineering, Technical, University of Denmark, Bygningstorvet 115, 2800 Kgs.Lyngby, Denmark;

    Department of Environmental Engineering, Technical, University of Denmark, Bygningstorvet 115, 2800 Kgs.Lyngby, Denmark;

  • 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
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