期刊
CHEMICAL ENGINEERING JOURNAL
卷 290, 期 -, 页码 125-135出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2016.01.033
关键词
Rhamnolipid; Waste activated sludge; Short-chain fatty acids; Alkaline anaerobic fermentation; Extracellular polymeric substances; Pseudo-first-order model
资金
- National Science Foundation for Distinguished Young Scholars of China [51225802]
- National Natural Science Foundation of China (NSFC) [51578534]
- Major Science and Technology Program for Water Pollution Control and Treatment of China [2014ZX07204-005]
- Hundred Talents Program of the Chinese Academy of Sciences
- Chinese Academy of Sciences [YSW2013B06]
- International S&T cooperation program [S2015GR1012]
Short-chain fatty acids (SCFAs), preferred carbon source for enhanced biological nutrients removal system, can be produced from anaerobic fermentation of waste activated sludge (WAS). Hydrolysis is known as the rate-limiting step for SCFAs production. This study presents a novel technology using rhamnolipid (RL) pretreatment connected alkaline anaerobic fermentation to enhance SCFAs production. Experiment results showed that the integration treatments performed significant enhancement of SCFAs production, and the fermentation time was remarkably shortened. The maximum SCFAs production, 378 mg COD/g VSS (volatile suspended solid), reached at 72-h fermentation time under 0.2 g RL/g TSS (total suspended solid) and initial pH 10 treatment, which was 4.31, 1.32 and 1.24 times higher than that of control, initial pH 10 and 0.2 g RL/g TSS treatment, respectively. The mechanism study showed that integration treatments could enhance the release of constituents from the cells and/or extracellular polymeric substances to suspension, and hydrolysis rate constant was improved greatly in integration treatment, 8.68, 2.14 and 1.55 times higher than that of control, sole RL and initial pH 10 treatments, respectively. The results suggested that positive synergy led to improvement of WAS solubilization and SCFAs production under integration conditions. The pseudo-first-order model was successfully built to present the SCFAs accumulation. Therefore, the integration method in this work was a promising technology for SCFAs production enhancement from WAS. (C) 2016 Elsevier B.V. All rights reserved.
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