Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China.
Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, PR China.
Bioelectrochemistry. 2018 Oct;123:241-247. doi: 10.1016/j.bioelechem.2018.06.001. Epub 2018 Jun 2.
The Nernst-Monod model is used to describe bio-anode performance with respect to the effect of the electron donor and anode potential. However, electron competition is not considered in the model, limiting its application in wastewater treatment systems. In this work, nitrate was employed to describe the influence of a competitive electron acceptor on bio-anode performance. A new dynamic model of microbial anode respiration and nitrate respiration was developed for the removal of nitrogen oxides. The competitive relationship between microbial anode respiration and nitrate respiration was investigated based on electron transfer as described by the kinetics of Nernst-Monod electron transfer and nitrate reduction. The experimental results showed that nitrate had a significant influence on microbial anode respiration. The model parameters were estimated with the experimental results obtained in a continuous-flow bioelectrochemical system (BES) fed with acetate. The simulated results revealed that nitrate respiration could indirectly affect the microbial anode respiration by altering the available substrate concentration. In addition, bacterial community analysis indicated that there were two dominant functional microorganisms coexisting in the anode chamber. The first microorganism was represented by Geobacter, which has extracellular electron-transfer abilities. The second was denitrifying bacteria, which can use the carbon sources in the anodic chamber and electrons from the electrode for nitrate reduction. This is the first time that mathematical modelling of nitrate reduction has been applied to BESs.
Nernst-Monod 模型用于描述生物阳极性能对电子供体和阳极电位的影响。然而,该模型不考虑电子竞争,限制了其在废水处理系统中的应用。在这项工作中,采用硝酸盐来描述竞争性电子受体对生物阳极性能的影响。针对氮氧化物的去除,开发了一种新的微生物阳极呼吸和硝酸盐呼吸的动态模型。基于 Nernst-Monod 电子转移动力学和硝酸盐还原来描述电子传递,研究了微生物阳极呼吸和硝酸盐呼吸之间的竞争关系。实验结果表明,硝酸盐对微生物阳极呼吸有显著影响。利用连续流动生物电化学系统(BES)中以乙酸盐为底物的实验结果对模型参数进行了估计。模拟结果表明,硝酸盐呼吸可以通过改变可用底物浓度间接影响微生物阳极呼吸。此外,细菌群落分析表明,在阳极室内存在两种共存的优势功能微生物。第一种微生物以具有细胞外电子转移能力的 Geobacter 为代表。第二种是反硝化细菌,可以利用阳极室内的碳源和电极上的电子进行硝酸盐还原。这是首次将硝酸盐还原的数学建模应用于 BES。