Civil engineering, York university, 4700 Keele St, Toronto, M3J 1P3, ON, Canada.
J Environ Manage. 2021 Jun 15;288:112362. doi: 10.1016/j.jenvman.2021.112362. Epub 2021 Apr 7.
Enhanced biological phosphorus removal (EBPR) is one of the most promising technologies as an economical and environmentally sustainable technique for removal of phosphorus from wastewater (WW). However, with high capacity of EBPR, insufficient P-removal is a major yet common issue of many full-scale wastewater treatment plants (WWTP), due to misinterpreted environmental and microbial disturbance. By developing a rather extensive understanding on biochemical pathways and metabolic models governing the anaerobic and aerobic/anoxic processes; the optimal operational conditions, environmental changes and microbial population interaction are efficiently predicted. Therefore, this paper critically reviews the current knowledge on biochemical pathways and metabolic models of phosphorus accumulating organisms (PAOs) and glycogen accumulating organisms (GAOs) as the most abundant microbial populations in EBPR process with an insight on the effect of available carbon source types in WW on phosphorus removal performance. Moreover, this paper critically assesses the gaps and potential future research in metabolic modeling area. With all the developments on EBPR process in the past few decades, there is still lack of knowledge in this critical sector. This paper hopes to touch on this problem by gathering the existing knowledge and to provide farther insights on the future work onto chemical transformations and metabolic strategies in different conditions to benefit the quantitative model as well as WWTP designs.
强化生物除磷 (EBPR) 是最有前途的技术之一,是从废水中(WW)去除磷的经济且环境可持续的技术。然而,由于对环境和微生物干扰的误解,具有高 EBPR 能力的许多大型污水处理厂(WWTP)普遍存在除磷不足的主要问题。通过对控制厌氧和好氧/缺氧过程的生化途径和代谢模型有了更广泛的了解;可以有效地预测最佳操作条件、环境变化和微生物种群相互作用。因此,本文批判性地回顾了在 EBPR 过程中最丰富的微生物种群——聚磷菌(PAOs)和糖原积累菌(GAOs)的生化途径和代谢模型的当前知识,深入了解废水中可用碳源类型对除磷性能的影响。此外,本文还批判性地评估了代谢建模领域的差距和潜在的未来研究方向。尽管过去几十年在 EBPR 工艺方面取得了许多进展,但在这一关键领域仍然缺乏知识。本文希望通过收集现有知识来解决这个问题,并为未来的工作提供有关不同条件下化学转化和代谢策略的进一步见解,以有利于定量模型和 WWTP 设计。