Literature DB >> 22726635

A simple and rapid method for monitoring dissolved oxygen in water with a submersible microbial fuel cell (SBMFC).

Yifeng Zhang1, Irini Angelidaki.   

Abstract

A submersible microbial fuel cell (SBMFC) was developed as a biosensor for in situ and real time monitoring of dissolved oxygen (DO) in environmental waters. Domestic wastewater was utilized as a sole fuel for powering the sensor. The sensor performance was firstly examined with tap water at varying DO levels. With an external resistance of 1000Ω, the current density produced by the sensor (5.6 ± 0.5-462.2 ± 0.5 mA/m(2)) increased linearly with DO level up to 8.8 ± 0.3mg/L (regression coefficient, R(2)=0.9912), while the maximum response time for each measurement was less than 4 min. The current density showed different response to DO levels when different external resistances were applied, but a linear relationship was always observed. Investigation of the sensor performance at different substrate concentrations indicates that the organic matter contained in the domestic wastewater was sufficient to power the sensing activities. The sensor ability was further explored under different environmental conditions (e.g. pH, temperature, conductivity, and alternative electron acceptor), and the results indicated that a calibration would be required before field application. Lastly, the sensor was tested with different environmental waters and the results showed no significant difference (p>0.05) with that measured by DO meter. The simple, compact SBMFC sensor showed promising potential for direct, inexpensive and rapid DO monitoring in various environmental waters.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22726635     DOI: 10.1016/j.bios.2012.05.032

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  10 in total

1.  A laminar flow microfluidic fuel cell for detection of hexavalent chromium concentration.

Authors:  Dingding Ye; Yang Yang; Jun Li; Xun Zhu; Qiang Liao; Biao Zhang
Journal:  Biomicrofluidics       Date:  2015-11-25       Impact factor: 2.800

2.  Applicability of a submersible microbial fuel cell for Cr(VI) detection in water.

Authors:  Hyeonyong Chung; Won Jung Ju; Eun Hea Jho; Kyoungphile Nam
Journal:  Environ Monit Assess       Date:  2016-10-12       Impact factor: 2.513

Review 3.  Microbial fuel cell system: a promising technology for pollutant removal and environmental remediation.

Authors:  Qing Wu; Shipu Jiao; Mengxing Ma; Sen Peng
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-20       Impact factor: 5.190

4.  An MFC-based online monitoring and alert system for activated sludge process.

Authors:  Gui-Hua Xu; Yun-Kun Wang; Guo-Ping Sheng; Yang Mu; Han-Qing Yu
Journal:  Sci Rep       Date:  2014-10-27       Impact factor: 4.379

5.  A portable bioelectronic sensing system (BESSY) for environmental deployment incorporating differential microbial sensing in miniaturized reactors.

Authors:  Alyssa Y Zhou; Moshe Baruch; Caroline M Ajo-Franklin; Michel M Maharbiz
Journal:  PLoS One       Date:  2017-09-15       Impact factor: 3.240

Review 6.  Three-Dimensional Electrodes for High-Performance Bioelectrochemical Systems.

Authors:  Yang-Yang Yu; Dan-Dan Zhai; Rong-Wei Si; Jian-Zhong Sun; Xiang Liu; Yang-Chun Yong
Journal:  Int J Mol Sci       Date:  2017-01-04       Impact factor: 5.923

Review 7.  Microbial Fuel Cell-Based Biosensors.

Authors:  Yang Cui; Bin Lai; Xinhua Tang
Journal:  Biosensors (Basel)       Date:  2019-07-23

Review 8.  Microbial fuel cells for in-field water quality monitoring.

Authors:  Lola Gonzalez Olias; Mirella Di Lorenzo
Journal:  RSC Adv       Date:  2021-05-04       Impact factor: 4.036

9.  A Green Microbial Fuel Cell-Based Biosensor for In Situ Chromium (VI) Measurement in Electroplating Wastewater.

Authors:  Li-Chun Wu; Teh-Hua Tsai; Man-Hai Liu; Jui-Ling Kuo; Yung-Chu Chang; Ying-Chien Chung
Journal:  Sensors (Basel)       Date:  2017-10-27       Impact factor: 3.576

Review 10.  Review of Dissolved Oxygen Detection Technology: From Laboratory Analysis to Online Intelligent Detection.

Authors:  Yaoguang Wei; Yisha Jiao; Dong An; Daoliang Li; Wenshu Li; Qiong Wei
Journal:  Sensors (Basel)       Date:  2019-09-16       Impact factor: 3.576

  10 in total

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