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Biodegradation kinetics of benzene, toluene and xylene compounds: microbial growth and evaluation of models

机译:苯,甲苯和二甲苯化合物的生物降解动力学:微生物生长和模型评估

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摘要

The biodegradation kinetics of BTX compounds (benzene, toluene, and xylene) individually and as mixtures was studied using models with different levels of sophistication. To compare the performance of the unstructured models applied in this work we used experimental data obtained here and some results published in the literature. The system description was based on the material balances of key components for batch operations, where the Monod and Andrews models were applied to predict the biodegradation of individual substrates. To simulate the biodegradation kinetics of substrate mixtures, models of substrate inhibition were applied along with the Sum Kinetics with Interaction Parameters (SKIP) models, where for two-component association toluene-xylene SKIP model presented better performance and for tri-component association benzene-toluene-xylene, the uncompetitive inhibition model was better. The kinetic parameters were estimated via a global search method known as Particle Swarm Optimization (PSO). The main result of this study is that the sophisticated biodegradation kinetics of BTX mixtures can be successfully described by applying the SKIP model, with the main advantage being the consideration of the substrate interactions.
机译:使用具有不同复杂程度的模型研究了BTX化合物(苯,甲苯和二甲苯)单独和作为混合物的生物降解动力学。为了比较在这项工作中应用的非结构化模型的性能,我们使用了这里获得的实验数据以及一些发表在文献中的结果。系统描述基于批生产中关键组件的物料平衡,在此将Monod和Andrews模型应用于预测单个底物的生物降解。为了模拟底物混合物的生物降解动力学,将底物抑制模型与相互作用参数和动力学模型(SKIP)结合使用,其中对于二组分缔合甲苯-二甲苯SKIP模型表现出更好的性能,对于三组分缔合苯-甲苯二甲苯的非竞争性抑制模型较好。动力学参数是通过称为粒子群优化(PSO)的全局搜索方法估算的。这项研究的主要结果是,通过应用SKIP模型,可以成功地描述BTX混合物的复杂生物降解动力学,其主要优点是考虑了底物的相互作用。

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