Research GroEnergy, Air and Water Technology, Department of Bioscience Engineering, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium; Department of Biotechnology, Delft University of Technology, Maasweg 9, Delft 2629 HZ, The Netherlands.
Department of Water Management, Delft University of Technology, Mekelweg 5, 2628 CD Delft, The Netherlands; Delft Center for Systems and Control, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands.
Bioresour Technol. 2023 Dec;390:129844. doi: 10.1016/j.biortech.2023.129844. Epub 2023 Oct 10.
Purple phototrophic bacteria (PPB) show an underexplored potential for resource recovery from wastewater. Raceway reactors offer a more affordable full-scale solution on wastewater and enable useful additional aerobic processes. Current mathematical models of PPB systems provide useful mechanistic insights, but do not represent the full metabolic versatility of PPB and thus require further advancement to simulate the process for technology development and control. In this study, a new modelling approach for PPB that integrates the photoheterotrophic, and both anaerobic and aerobic chemoheterotrophic metabolic pathways through an empirical parallel metabolic growth constant was proposed. It aimed the modelling of microbial selection dynamics in competition with aerobic and anaerobic microbial community under different operational scenarios. A sensitivity analysis was carried out to identify the most influential parameters within the model and calibrate them based on experimental data. Process perturbation scenarios were simulated, which showed a good performance of the model.
紫色光能营养菌（PPB）在从废水中回收资源方面具有尚未被充分开发的潜力。跑道式反应器为废水处理提供了更经济实惠的全规模解决方案，并能实现有益的好氧附加处理过程。目前，PPB 系统的数学模型提供了有用的机理见解，但不能代表 PPB 的全部代谢多功能性，因此需要进一步改进，以模拟该过程，从而促进技术开发和控制。在这项研究中，提出了一种新的 PPB 建模方法，该方法通过经验平行代谢生长常数将光异养和厌氧及好氧化能异养代谢途径整合在一起。该方法旨在通过不同操作方案下的好氧和厌氧微生物群落竞争，对微生物选择动态进行建模。进行了敏感性分析，以确定模型中最具影响力的参数，并根据实验数据对其进行校准。模拟了工艺扰动情景，结果表明模型表现良好。
