Advanced Water Management Centre, Gehrmann Building, The University of Queensland, Brisbane, Queensland 4072, Australia; CRC for Water Sensitive Cities, PO Box 8000, Clayton, Victoria, 3800, Australia; Group of Chemical and Environmental Engineering (GIQA), University Rey Juan Carlos, 28933 Mostoles, Madrid, Spain.
Advanced Water Management Centre, Gehrmann Building, The University of Queensland, Brisbane, Queensland 4072, Australia; CRC for Water Sensitive Cities, PO Box 8000, Clayton, Victoria, 3800, Australia.
Water Res. 2017 Jun 1;116:241-253. doi: 10.1016/j.watres.2017.03.022. Epub 2017 Mar 9.
Purple phototrophic bacteria (PPB) have been recently proposed as a key potential mechanism for accumulative biotechnologies for wastewater treatment with total nutrient recovery, low greenhouse gas emissions, and a neutral to positive energy balance. Purple phototrophic bacteria have a complex metabolism which can be regulated for process control and optimization. Since microbial processes governing PPB metabolism differ from traditional processes used for wastewater treatment (e.g., aerobic and anaerobic functional groups in ASM and ADM1), a model basis has to be developed to be used as a framework for further detailed modelling under specific situations. This work presents a mixed population phototrophic model for domestic wastewater treatment in anaerobic conditions. The model includes photoheterotrophy, which is divided into acetate consumption and other organics consumption, chemoheterotrophy (including simplified fermentation and anaerobic oxidation) and photoautotrophy (using hydrogen as an electron donor), as microbial processes, as well as hydrolysis and biomass decay as biochemical processes, and is single-biomass based. The main processes have been evaluated through targeted batch experiments, and the key kinetic and stoichiometric parameters have been determined. The process was assessed by analyzing a continuous reactor simulation scenario within a long-term wastewater treatment system in a photo-anaerobic membrane bioreactor.
近年来，紫光合细菌（PPB）被提议作为一种具有累积处理技术的关键潜在机制，用于处理废水并实现总养分回收、减少温室气体排放，以及达到能量平衡的中性到正性。紫光合细菌具有复杂的代谢途径，可以进行过程控制和优化。由于控制 PPB 代谢的微生物过程与传统的废水处理过程（例如 ASM 和 ADM1 中的好氧和厌氧功能群）不同，因此必须开发一个模型基础，作为在特定情况下进一步详细建模的框架。本工作提出了一种用于厌氧条件下处理生活污水的混合种群光合模型。该模型包括了光异养作用，其可进一步细分为乙酸盐消耗和其他有机物消耗、化能异养作用（包括简化发酵和厌氧氧化）和光自养作用（使用氢气作为电子供体），以及水解和生物量衰减等生物化学过程，且该模型基于单一生物种群。主要过程已经通过针对性的批处理实验进行了评估，并确定了关键的动力学和化学计量参数。该过程通过在光厌氧膜生物反应器中的长期废水处理系统内的连续反应器模拟场景进行了评估。
