Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3653
Title: Mixture of Sludge and Chicken Manure in Membrane-Less Microbial Fuel Cell for Simultaneous Waste Treatment and Energy Recovery
Authors: Malik N.N.A. 
Sabri M.N.I.M. 
Tajarudin H.A. 
Tajarudin H.A. 
Shoparwe, N.F. 
Shukor H. 
Makhtar M.M.Z. 
Abbas S.Z. 
Yong Y.-C. 
Rafatullah M. 
Keywords: chicken manure;electricity;membrane-less microbial fuel cell;operating parameters;renewable energy;sludge;solid waste;Sustainable Development Goals
Issue Date: Jul-2022
Publisher: MDPI
Journal: Catalysts 
Abstract: 
In addition to disposal issues, the abundance of sludge and chicken manure has been a rising issue in Malaysia. Membrane-less microbial fuel cell (ML-MFC) technology can be considered as one of the potential solutions to the issues of disposal and electricity generation. However, there is still a lack of information on the performance of an ML-MFC powered by sludge and chicken manure. Hence, with this project, we studied the performance of an ML-MFC supplemented with sludge and chicken manure, and its operating parameters were optimized using response surface methodology (RSM) through central composite design (CCD). The optimum operating parameters were determined to be 35 °C, 75% moisture content, and an electrode distance of 3 cm. Correspondingly, the highest power density, COD removal efficiency, and biomass acquired through this study were 47.2064 mW/m2, 98.0636%, and 19.6730 mg/L, respectively. The obtained COD values for dewatered sludge and chicken manure were 708 mg/L and 571 mg/L, respectively. COD values were utilized as a standard value for the substrate degradation by Bacillus subtilis in the ML-MFC. Through proximate analyses conducted by elemental analysis and atomic absorption spectrometry (AAS), the composition of carbon and magnesium for sludge and chicken manure was23.75% and 34.20% and 78.1575 mg/L and 71.6098 mg/L, respectively. The proposed optimal RSM parameters were assessed and validated to determine the ML-MFC operating parameters to be optimized by RSM (CCD).
Description: 
Web of Science / Scopus
URI: http://hdl.handle.net/123456789/3653
ISSN: 20734344
DOI: 10.3390/catal12070776
Appears in Collections:Faculty of Bioengineering and Technology - Journal (Scopus/WOS)

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