School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0512, USA.
Bioresour Technol. 2013 Feb;130:278-87. doi: 10.1016/j.biortech.2012.11.103. Epub 2012 Dec 12.
The fate and effect of the antimicrobial compounds benzalkonium chlorides (BACs) on the biological nitrogen removal (BNR) processes for a continuous-flow, three-stage laboratory-scale BNR system were modeled. Three kinetic sub-models, corresponding to each reactor, were developed and then combined in a comprehensive ASM1-based model. Kinetic parameters for the three sub-models were evaluated using experimental data obtained from independent batch assays. The biodegradation of BACs was modeled with a mixed-substrate Monod equation. The inhibitory effect of BACs on the utilization of degradable COD and denitrification was modeled as competitive inhibition, whereas non-competitive inhibition was used to model the effect of BACs on nitrification and inhibition coefficients were evaluated. The model simulated well the long-term performance of the BNR system treating a poultry processing wastewater with and without BACs. Enhanced BAC degradation by heterotrophs and increased resistance of nitrifiers to BACs, reflecting acclimation/enrichment over time, is a salient feature of the model.
采用连续流三阶段实验室规模生物脱氮（BNR）系统，模拟了季铵盐化合物苯扎氯铵（BACs）的命运和对生物脱氮过程的影响。针对每个反应器开发了三个动力学子模型，然后将其组合在一个基于 ASM1 的综合模型中。使用从独立批处理试验中获得的实验数据评估了三个子模型的动力学参数。采用混合基质 Monod 方程对 BACs 的生物降解进行建模。将 BACs 对可生物降解 COD 的利用和反硝化的抑制作用建模为竞争性抑制，而将 BACs 对硝化的非竞争性抑制作用建模，并评估了抑制系数。该模型很好地模拟了 BNR 系统处理家禽加工废水时有无 BACs 的长期性能。模型的一个显著特点是，异养菌对 BACs 的降解增强，硝化菌对 BACs 的抗性增加，这反映了随着时间的推移适应/富集。
