Department of Chemical Engineering, Queen's University, Kingston, Ontario, K7L 3N6, Canada.
J Hazard Mater. 2010 Mar 15;175(1-3):872-82. doi: 10.1016/j.jhazmat.2009.10.091. Epub 2009 Oct 31.
A dynamic mathematical model has been developed to predict the performance of a stirred tank, solid-liquid two-phase partitioning bioreactor (SL-TPPB) for the treatment of benzene, toluene, ethylbenzene and o-xylene (BTEX) contaminated gases. The SL-TPPB system consists of an aqueous phase containing a bacterial consortium and a solid phase of silicone rubber beads (10%; v/v) with a high affinity for BTEX compounds. The silicone rubber beads serve to sequester and release BTEX according to thermodynamic equilibrium, which increases mass transfer from the gas phase and reduces aqueous phase concentrations of these toxic compounds during fluctuating inlet loadings. The model was developed from mass balances on BTEX components in the gas, aqueous and polymer phases, and biomass in the aqueous phase. Dynamic experimental data from this system were used to fit model parameters and to assess the accuracy of the model. A detailed estimability analysis of model parameters and initial conditions was completed to identify uncertain parameters that are most influential for the model predictions and to determine the parameters and initial conditions that should be targeted for estimation using the dynamic data. It was found that the developed model, with estimated parameters and initial conditions, has the ability to predict experimental off-gas BTEX concentrations with reasonable accuracy, which are the outputs of greatest importance.
已经开发出一种动态数学模型来预测用于处理苯、甲苯、乙苯和邻二甲苯（BTEX）污染气体的搅拌罐、固-液两相传质生物反应器（SL-TPPB）的性能。SL-TPPB 系统由含有细菌联合体的水相和硅胶珠（10%，v/v）固相组成，硅胶珠对 BTEX 化合物具有高亲和力。硅胶珠根据热力学平衡来隔离和释放 BTEX，从而增加了从气相中的传质，并减少了这些有毒化合物在波动的入口负荷下在水相中的浓度。该模型是根据气相、水相和聚合物相中的 BTEX 成分以及水相中的生物量的质量平衡开发的。使用该系统的动态实验数据来拟合模型参数并评估模型的准确性。完成了对模型参数和初始条件的详细可估计性分析，以确定对模型预测最有影响的不确定参数，并确定应使用动态数据进行估计的参数和初始条件。结果发现，经过估计参数和初始条件的开发模型，具有以合理的精度预测实验废气 BTEX 浓度的能力，这是最重要的输出。
