Performance of a microbial fuel cell-based biosensor for online monitoring in an integrated system combining microbial fuel cell and upflow anaerobic sludge bed reactor

Jia, H; Yang, G; Wang, J; Ngo, HH; Guo, W; Zhang, H; Zhang, X

Performance of a microbial fuel cell-based biosensor for online monitoring in an integrated system combining microbial fuel cell and upflow anaerobic sludge bed reactor

Jia, H Yang, G Wang, J Ngo, HH

Guo, W

Zhang, H Zhang, X

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Publication Type:: Journal Article
Citation:: Bioresource Technology, 2016, 218 pp. 286 - 293
Issue Date:: 2016-10-01

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Field	Value	Language
dc.contributor.author	Jia, H	en_US
dc.contributor.author	Yang, G	en_US
dc.contributor.author	Wang, J	en_US
dc.contributor.author	Ngo, HH https://orcid.org/0000-0002-0296-2866	en_US
dc.contributor.author	Guo, W https://orcid.org/0000-0001-5542-2858	en_US
dc.contributor.author	Zhang, H	en_US
dc.contributor.author	Zhang, X	en_US
dc.date.available	2020-05-25T19:11:41Z
dc.date.issued	2016-10-01	en_US
dc.identifier.citation	Bioresource Technology, 2016, 218 pp. 286 - 293	en_US
dc.identifier.issn	0960-8524	en_US
dc.identifier.uri	http://hdl.handle.net/10453/58161
dc.description.abstract	© 2016. A hybrid system integrating a microbial fuel cell (MFC)-based biosensor with upflow anaerobic sludge blanket (UASB) was investigated for real-time online monitoring of the internal operation of the UASB reactor. The features concerned were its rapidity and steadiness with a constant operation condition. In addition, the signal feedback mechanism was examined by the relationship between voltage and time point of changed COD concentration. The sensitivity of different concentrations was explored by comparing the signal feedback time point between the voltage and pH. Results showed that the electrical signal feedback was more sensitive than pH and the thresholds of sensitivity were S = 3 × 10-5 V/(mg/L) and S = 8 × 10-5 V/(mg/L) in different concentration ranges, respectively. Although only 0.94% of the influent COD was translated into electricity and applied for biosensing, this integrated system indicated great potential without additional COD consumption for real-time monitoring.	en_US
dc.relation.ispartof	Bioresource Technology	en_US
dc.relation.isbasedon	10.1016/j.biortech.2016.06.064	en_US
dc.subject.classification	Biotechnology	en_US
dc.subject.mesh	Reproducibility of Results	en_US
dc.subject.mesh	Biosensing Techniques	en_US
dc.subject.mesh	Bioreactors	en_US
dc.subject.mesh	Bioelectric Energy Sources	en_US
dc.subject.mesh	Sewage	en_US
dc.subject.mesh	Water Purification	en_US
dc.subject.mesh	Anaerobiosis	en_US
dc.title	Performance of a microbial fuel cell-based biosensor for online monitoring in an integrated system combining microbial fuel cell and upflow anaerobic sludge bed reactor	en_US
dc.type	Journal Article
utslib.citation.volume	218	en_US
utslib.for	090404 Membrane and Separation Technologies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	218	en_US

Abstract:

© 2016. A hybrid system integrating a microbial fuel cell (MFC)-based biosensor with upflow anaerobic sludge blanket (UASB) was investigated for real-time online monitoring of the internal operation of the UASB reactor. The features concerned were its rapidity and steadiness with a constant operation condition. In addition, the signal feedback mechanism was examined by the relationship between voltage and time point of changed COD concentration. The sensitivity of different concentrations was explored by comparing the signal feedback time point between the voltage and pH. Results showed that the electrical signal feedback was more sensitive than pH and the thresholds of sensitivity were S = 3 × 10-5 V/(mg/L) and S = 8 × 10-5 V/(mg/L) in different concentration ranges, respectively. Although only 0.94% of the influent COD was translated into electricity and applied for biosensing, this integrated system indicated great potential without additional COD consumption for real-time monitoring.

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http://hdl.handle.net/10453/58161