Optimization of co-culture inoculated microbial fuel cell performance using response surface methodology

Microbial fuel cells (MFCs) are considered as promising technology to achieve simultaneous wastewater treatment and electricity generation. However, operational and technological developments are still required to make it as a sustainable technology. In the present study, response surface methodolog...

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Main Authors:	M. Amirul, Islam, Ong, Huei Ruey, Ethiraj, Baranitharan, Cheng, C. K., Khan, Maksudur R.
Format:	Article
Language:	English English
Published:	Elsevier B.V. 2018
Subjects:	TP Chemical technology
Online Access:	http://umpir.ump.edu.my/id/eprint/22296/ http://umpir.ump.edu.my/id/eprint/22296/ http://umpir.ump.edu.my/id/eprint/22296/ http://umpir.ump.edu.my/id/eprint/22296/1/Optimization%20of%20co-culture%20inoculated%20microbial%20fuel%20cell%20performance%20using%20response%20surface%20methodology.pdf http://umpir.ump.edu.my/id/eprint/22296/7/Optimization%20of%20co-culture%20inoculated%20microbial%20fuel%20cell%20performance%20using%20response%20surface%20methodology.pdf

id	ump-22296
recordtype	eprints
spelling	ump-222962018-11-15T02:27:33Z http://umpir.ump.edu.my/id/eprint/22296/ Optimization of co-culture inoculated microbial fuel cell performance using response surface methodology M. Amirul, Islam Ong, Huei Ruey Ethiraj, Baranitharan Cheng, C. K. Khan, Maksudur R. TP Chemical technology Microbial fuel cells (MFCs) are considered as promising technology to achieve simultaneous wastewater treatment and electricity generation. However, operational and technological developments are still required to make it as a sustainable technology. In the present study, response surface methodology (RSM) was used to evaluate the effects of substrate concentration, co-culture composition, pH and time on the performance of co-culture (Klebsiella variicola and Pseudomonas aeruginosa) inoculated double chamber MFC. From the statistical analysis, it can be seen that the performance of MFC was not influenced by the interaction between the initial COD and time, pH and time, pH and initial COD, time and initial COD. However, the interaction between the inoculum composition and time, pH and the inoculum composition, initial COD and inoculum composition significantly influenced the performance of MFC. Based on the RSM results, best performance (power density and COD removal efficiency) was obtained when the inoculum composition, initial COD, pH and time were about 1:1, 26.690 mg/L, 7.21 and 15.50 days, respectively. The predictions from the model were in close agreement with the experimental results suggesting that the proposed model could adequately represent the actual relationships between the independent variables generating electricity and the COD removal efficiency. Elsevier B.V. 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22296/1/Optimization%20of%20co-culture%20inoculated%20microbial%20fuel%20cell%20performance%20using%20response%20surface%20methodology.pdf pdf en http://umpir.ump.edu.my/id/eprint/22296/7/Optimization%20of%20co-culture%20inoculated%20microbial%20fuel%20cell%20performance%20using%20response%20surface%20methodology.pdf M. Amirul, Islam and Ong, Huei Ruey and Ethiraj, Baranitharan and Cheng, C. K. and Khan, Maksudur R. (2018) Optimization of co-culture inoculated microbial fuel cell performance using response surface methodology. Journal of Environmental Management, 225. pp. 242-251. ISSN 0301-4797 https://doi.org/10.1016/j.jenvman.2018.08.002 10.1016/j.jenvman.2018.08.002
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TP Chemical technology
spellingShingle	TP Chemical technology M. Amirul, Islam Ong, Huei Ruey Ethiraj, Baranitharan Cheng, C. K. Khan, Maksudur R. Optimization of co-culture inoculated microbial fuel cell performance using response surface methodology
description	Microbial fuel cells (MFCs) are considered as promising technology to achieve simultaneous wastewater treatment and electricity generation. However, operational and technological developments are still required to make it as a sustainable technology. In the present study, response surface methodology (RSM) was used to evaluate the effects of substrate concentration, co-culture composition, pH and time on the performance of co-culture (Klebsiella variicola and Pseudomonas aeruginosa) inoculated double chamber MFC. From the statistical analysis, it can be seen that the performance of MFC was not influenced by the interaction between the initial COD and time, pH and time, pH and initial COD, time and initial COD. However, the interaction between the inoculum composition and time, pH and the inoculum composition, initial COD and inoculum composition significantly influenced the performance of MFC. Based on the RSM results, best performance (power density and COD removal efficiency) was obtained when the inoculum composition, initial COD, pH and time were about 1:1, 26.690 mg/L, 7.21 and 15.50 days, respectively. The predictions from the model were in close agreement with the experimental results suggesting that the proposed model could adequately represent the actual relationships between the independent variables generating electricity and the COD removal efficiency.
format	Article
author	M. Amirul, Islam Ong, Huei Ruey Ethiraj, Baranitharan Cheng, C. K. Khan, Maksudur R.
author_facet	M. Amirul, Islam Ong, Huei Ruey Ethiraj, Baranitharan Cheng, C. K. Khan, Maksudur R.
author_sort	M. Amirul, Islam
title	Optimization of co-culture inoculated microbial fuel cell performance using response surface methodology
title_short	Optimization of co-culture inoculated microbial fuel cell performance using response surface methodology
title_full	Optimization of co-culture inoculated microbial fuel cell performance using response surface methodology
title_fullStr	Optimization of co-culture inoculated microbial fuel cell performance using response surface methodology
title_full_unstemmed	Optimization of co-culture inoculated microbial fuel cell performance using response surface methodology
title_sort	optimization of co-culture inoculated microbial fuel cell performance using response surface methodology
publisher	Elsevier B.V.
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/22296/ http://umpir.ump.edu.my/id/eprint/22296/ http://umpir.ump.edu.my/id/eprint/22296/ http://umpir.ump.edu.my/id/eprint/22296/1/Optimization%20of%20co-culture%20inoculated%20microbial%20fuel%20cell%20performance%20using%20response%20surface%20methodology.pdf http://umpir.ump.edu.my/id/eprint/22296/7/Optimization%20of%20co-culture%20inoculated%20microbial%20fuel%20cell%20performance%20using%20response%20surface%20methodology.pdf
first_indexed	2023-09-18T22:33:07Z
last_indexed	2023-09-18T22:33:07Z
_version_	1777416417682915328

Optimization of co-culture inoculated microbial fuel cell performance using response surface methodology

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