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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
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Elsevier B.V.
2018
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| Online Access: | 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 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:26:41Z |
| format | Article |
| id | UMPir22296 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:26:41Z |
| publishDate | 2018 |
| publisher | Elsevier B.V. |
| record_format | dspace |
| spelling | UMPir222962018-11-15T02:27:33Z 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. (Published) https://doi.org/10.1016/j.jenvman.2018.08.002 10.1016/j.jenvman.2018.08.002 |
| 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 |
| title | 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_short | 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 |
| topic | TP Chemical technology |
| url | 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 |
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