Postgraduate Program of Chemical Engineering, West Paraná State University, Garden La Salle, 85903-000, Toledo, PR, Brazil.
Water Sci Technol. 2010;61(5):1289-98. doi: 10.2166/wst.2010.034.
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.
采用非结构模型分析研究了苯和苯酚作为单一底物以及混合物的芳香烃生物降解动力学。通过数值求解涉及 Monod 和 Andrews 模型的物料平衡方程,对分批模式下各底物生物降解动力学进行了模拟。此外,还应用更为复杂的竞争、非竞争和非竞争性抑制模型以及总和动力学相互作用参数 (SKIP) 模型,描述了苯-苯酚混合物的利用情况。为了提高研究模型的性能,还提出了一些改进措施。采用 Maple 编写的粒子群全局优化方法应用于每个模型的参数识别过程中,其中最小二乘法作为搜索统计标准。基于化合物可以通过假单胞菌 F1 的一条代谢途径进行代谢这一信息,采用竞争抑制模型对苯-苯酚混合物的生物降解动力学进行了描述。模拟结果与实验数据吻合较好,证明了所应用方法和模型的稳健性。开发的知识库对于不同生物反应器类型和操作条件下的生物降解过程优化非常有用。