Palm oil mill effluents microbial fuel cells optimisation procedure by using two-level factorial design method and chemical oxygen demand treatment

Yap Andrew Kian Chung, . and Oskandar Hasdinor Hassan, . and Zulkifli Ab. Rahman, . and Khairul Baqir Alkhair, . and Sharifah Aminah Syed Mohamed, . and Mohd Zu Azhan Yahya, . Palm oil mill effluents microbial fuel cells optimisation procedure by using two-level factorial design method and chemical oxygen demand treatment. pp. 503-514. ISSN 1511-2780

Microbial fuel cell (MFC) technologies represent the newest approach for generating electricity (bioelectricity generation) from biomass using bacteria. Bio-electricity generations by MFC have gained considerable attention due to its integration with wastewater treatment. The objectives of the work are to determine the optimisation of MFCs bio-electrochemical process using three different factors and its interaction and to determine the optimal pH value for acidogenic acetogenic and methanogenic by natural mixed culture electroactive bacteria (exoelectrogens) growth in presence and absence of oxygen using MFC. The two-level factorial design is used in order to achieve the main two objectives. The current generation power generation and maximum power have been monitored. Experimental result shows that the best interaction between these three factors is (--) interaction which is the interaction between tryptic soya broth (TSB) sodium hydroxide as pH controller and resistant of 200 and the interaction yield the power density of 57.44 mA/m2. The effects between those interactions also have been analysed. The interaction of all parameters that have been used in this experiment is given out the highest significant effect which is a value of effect of 24.56 with a significant F-value of 29.51. The chemical oxygen demand (COD) reduction by MFC treatment data based on the COD effective deduction concept shows that DMP produced lower percentage of COD effective deduction efficiency compared to nDMP. nDMP was 342 to 441 more efficient to deduct COD compared to DMP. nDMP 6.8 recorded the most effective COD deduction by MFC devices at 29.17.

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Abstract

Microbial fuel cell (MFC) technologies represent the newest approach for generating electricity (bioelectricity generation) from biomass using bacteria. Bio-electricity generations by MFC have gained considerable attention due to its integration with wastewater treatment. The objectives of the work are to determine the optimisation of MFCs bio-electrochemical process using three different factors and its interaction and to determine the optimal pH value for acidogenic acetogenic and methanogenic by natural mixed culture electroactive bacteria (exoelectrogens) growth in presence and absence of oxygen using MFC. The two-level factorial design is used in order to achieve the main two objectives. The current generation power generation and maximum power have been monitored. Experimental result shows that the best interaction between these three factors is (--) interaction which is the interaction between tryptic soya broth (TSB) sodium hydroxide as pH controller and resistant of 200 and the interaction yield the power density of 57.44 mA/m2. The effects between those interactions also have been analysed. The interaction of all parameters that have been used in this experiment is given out the highest significant effect which is a value of effect of 24.56 with a significant F-value of 29.51. The chemical oxygen demand (COD) reduction by MFC treatment data based on the COD effective deduction concept shows that DMP produced lower percentage of COD effective deduction efficiency compared to nDMP. nDMP was 342 to 441 more efficient to deduct COD compared to DMP. nDMP 6.8 recorded the most effective COD deduction by MFC devices at 29.17.

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Item Type:	Article
AGROVOC Term:	Palm oils
AGROVOC Term:	Biomass
AGROVOC Term:	Biomass fuels
AGROVOC Term:	Wastewater
AGROVOC Term:	COD (chemical oxygen demand)
AGROVOC Term:	Experimental design
AGROVOC Term:	Factorial analysis
AGROVOC Term:	Efficiency
AGROVOC Term:	Electricity
AGROVOC Term:	Power generation
Depositing User:	Ms. Suzila Mohamad Kasim
Last Modified:	24 Apr 2025 06:29
URI:	http://webagris.upm.edu.my/id/eprint/24701

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