Literature DB >> 23751505

Volatile fatty acids productivity by anaerobic co-digesting waste activated sludge and corn straw: effect of feedstock proportion.

Aijuan Zhou1, Zechong Guo, Chunxue Yang, Fanying Kong, Wenzong Liu, Aijie Wang.   

Abstract

Volatile fatty acids (VFAs) are the most suitable and biodegradable carbon substrates for many bioprocesses. This study explored a new approach to improve the VFAs production from anaerobic co-digesting waste activated sludge (WAS) with corn straw (CS). The effect of feedstock proportion on the acidification efficiency was investigated. The maximum VFAs yield (corresponding fermentation time) was substantially increased 69% (96 h), 45% (72 h), 13% (120 h) and 12% (120 h) with 50%, 35%, 25% and 20% CS proportion of feedstock, respectively. HAc (acetic acid) was consistently the most abundant, followed by HPr (propionic acid) and n-HBu (butyric acid) in the co-digesting tests. The increase of CS in feedstock led to more production of HAc and HPr. Moreover, the consumption of protein and carbohydrate were also improved remarkably from 2955 and 249 mg COD/L (individual WAS fermentation) to 6575 and 815 mg COD/L (50%WAS:50%CS co-digestion) from 120 onward, respectively. The highest contribution of CS to additional VFAs production was1113 mg VFAs (as COD)/g CS/L in the 65%WAS:35%CS co-digesting test. Our study indicated a valuable method to improve VFAs production from anaerobic co-digesting WAS and CS. Crown
Copyright © 2013. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Co-digestion; Corn stover (CS); Feedstock proportion; Volatile fatty acids (VFAs); Waste activated sludge (WAS)

Mesh:

Substances:

Year:  2013        PMID: 23751505     DOI: 10.1016/j.jbiotec.2013.05.015

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  7 in total

1.  What could the entire cornstover contribute to the enhancement of waste activated sludge acidification? Performance assessment and microbial community analysis.

Authors:  Aijuan Zhou; Jiaguang Zhang; Kaili Wen; Zhihong Liu; Guoying Wang; Wenzong Liu; Aijie Wang; Xiuping Yue
Journal:  Biotechnol Biofuels       Date:  2016-11-09       Impact factor: 6.040

2.  Electrochemical Sensors Based on Screen-Printed Electrodes: The Use of Phthalocyanine Derivatives for Application in VFA Detection.

Authors:  Amadou L Ndiaye; Sébastien Delile; Jérôme Brunet; Christelle Varenne; Alain Pauly
Journal:  Biosensors (Basel)       Date:  2016-09-01

3.  Novel insight into the relationship between organic substrate composition and volatile fatty acids distribution in acidogenic co-fermentation.

Authors:  Huijun Ma; He Liu; Lihui Zhang; Meng Yang; Bo Fu; Hongbo Liu
Journal:  Biotechnol Biofuels       Date:  2017-05-26       Impact factor: 6.040

4.  Characterization of biocarbon-source recovery and microbial community shifts from waste activated sludge by conditioning with cornstover: Assessment of cellulosic compositions.

Authors:  Kaili Wen; Aijuan Zhou; Jiaguang Zhang; Zhihong Liu; Guoying Wang; Wenzong Liu; Aijie Wang; Xiuping Yue
Journal:  Sci Rep       Date:  2017-02-17       Impact factor: 4.379

Review 5.  Volatile Fatty Acids as Carbon Sources for Polyhydroxyalkanoates Production.

Authors:  Karolina Szacherska; Piotr Oleskowicz-Popiel; Slawomir Ciesielski; Justyna Mozejko-Ciesielska
Journal:  Polymers (Basel)       Date:  2021-01-20       Impact factor: 4.329

6.  Enhanced short chain fatty acids production from waste activated sludge conditioning with typical agricultural residues: carbon source composition regulates community functions.

Authors:  Zechong Guo; Aijuan Zhou; Chunxue Yang; Bin Liang; Thangavel Sangeetha; Zhangwei He; Ling Wang; Weiwei Cai; Aijie Wang; Wenzong Liu
Journal:  Biotechnol Biofuels       Date:  2015-11-25       Impact factor: 6.040

7.  Overall process of using a valerate-dominant sludge hydrolysate to produce high-quality polyhydroxyalkanoates (PHA) in a mixed culture.

Authors:  Jiuxiao Hao; Xiujin Wang; Hui Wang
Journal:  Sci Rep       Date:  2017-07-31       Impact factor: 4.379

  7 in total

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