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The evaluation of benzene and phenol biodegradation kinetics by applying non-structured models

机译:应用非结构化模型评估苯和苯酚的生物降解动力学

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摘要

The biodegradation kinetics of the aromatic hydrocarbons benzene and phenol as single substrates and as a mixture were investigated through non-structured model analysis. The material balance equations involving the models of Monod and Andrews and representing the biodegradation kinetics of individual substrates in batch mode were numerically solved. Further, utilization of a benzene-phenol mixture was described by applying more sophisticated mathematical forms of competitive, noncompetitive and uncompetitive inhibition models as well as the sum kinetic interactions parameters (SKIP) model. In order to improve the performance of the studied models, some modifications were also proposed. The Particle Swarm Global Optimization method, coded in Maple, was applied to the parameter identification procedure of each model, where the least square method was used as a search statistical criterion. The description of the biodegradation kinetics of a benzene-phenol mixture by the competitive inhibition model was based on the information that the compounds could be catabolized via one metabolic pathway of Pseudomonas putida F1. Simulation results were in good agreement with the experimental data and proved the robustness of the applied methods and models. The developed knowledge database could be very useful in the optimization of the biodegradation processes of different bioreactor types and operational conditions.
机译:通过非结构化模型分析研究了芳香烃苯和苯酚作为单一底物和混合物的生物降解动力学。数值求解了涉及Monod和Andrews模型的材料平衡方程,该方程代表了批处理模式下单个基材的生物降解动力学。此外,通过应用竞争性,非竞争性和非竞争性抑制模型以及总动力学相互作用参数(SKIP)模型的更复杂的数学形式,描述了苯酚混合物的利用。为了提高研究模型的性能,还提出了一些修改方案。将以Maple编码的粒子群全局优化方法应用于每个模型的参数识别过程,其中最小二乘法用作搜索统计准则。通过竞争抑制模型对苯酚混合物的生物降解动力学进行描述的依据是,该化合物可以通过恶臭假单胞菌F1的一种代谢途径进行分解代谢。仿真结果与实验数据吻合良好,证明了所采用方法和模型的鲁棒性。开发的知识数据库在优化不同生物反应器类型和操作条件的生物降解过程中可能非常有用。

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