five

Global Insights into Extracellular Polymeric Substances from Activated Sludge Yield, Composition, and Microbial Communities

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP581273
下载链接
链接失效反馈
官方服务:
资源简介:
Activated sludge (AS) wastewater treatment generates substantial excess sludge which needs to be discarded and thereby increasing operational costs. Extracellular polymeric substances (EPS) within activated sludge (AS) present a potential resource for recovery, reducing sludge volume and mass while adding value. To achieve this, EPS must be better characterized, and the link between EPS composition and its producers, namely the microbial community, remains poorly understood. Here, we analysed extracted EPS from 16 wastewater treatment plants across 13 countries and 5 continents and found alkaline extractable EPS yields varied widely. The microbial community composition of abundant species varied across plants and particularly across continents but did not correlate to the EPS yield. Only sludge retention time had a significant correlation (p = 0.027). Traditional colorimetric assays failed to detect compositional trends of the EPS, but Fourier Transform Infrared (FTIR) analysis indicated that extracted EPS from biological phosphorus removal systems had higher lipid and polysaccharide content, while chemical phosphorus removal systems had higher relative protein content. Thus, FTIR proved effective for distinguishing extracted EPS composition, demonstrating its potential as a high-throughput characterization tool. These findings highlight that the wastewater treatment design and operation may shape the functional groups in EPS when using the alkaline method. More investigations are needed to find possible correlations between the composition of extracted EPS and the microbial community structure. Overall, the study presents a baseline for the amount and overall composition of biopolymers that can be extracted from global AS plants for recovery.
创建时间:
2025-08-08
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作