UMP Institutional Repository

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

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

[img]
Preview
Pdf
Optimization of co-culture inoculated microbial fuel cell performance using response surface methodology.pdf

Download (274kB) | Preview
[img] Pdf
Optimization of co-culture inoculated microbial fuel cell performance using response surface methodology.pdf
Restricted to Repository staff only

Download (3MB) | Request a copy

Abstract

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.

Item Type: Article
Additional Information: Index by Scopus
Uncontrolled Keywords: Co-culture inoculum; Design of experiments; Box-behnken design; Mutualistic interactions; Chemical oxygen demand
Subjects: T Technology > TP Chemical technology
Faculty/Division: Centre of Excellence: Centre of Excellence for Advanced Research in Fluid Flow
Faculty of Chemical & Natural Resources Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 15 Nov 2018 02:27
Last Modified: 15 Nov 2018 02:27
URI: http://umpir.ump.edu.my/id/eprint/22296
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item