Using Box–Wilson statistical design to optimize biodegradation of phenanthrene and generation of sustainable power in microbial fuel cell simultaneously
Journal Title: IOSR Journal of Pharmacy and Biological Sciences (IOSR-JPBS) - Year 2017, Vol 12, Issue 4
Abstract
Microbial Fuel Cells (MFCs) are increasingly being used as a source of sustainable energy, as this technology can generate bioelectricity from the chemical energy present in organic pollutants. This potential was demonstrated in this study using the toxic and highly resistant polycyclic aromatic hydrocarbon by degrading as substrate in MFC. Optimization of the phenanthrene biodegradation and the resultant power generation in MFC was made by applying the Box-Wilson Statistical Design (BWSD) with the following six as parameters: (1) phenanthrene degradation, (2) voltage, (3) power density, (4) current density, (5) coulombic efficiency, and (6) COD removal. Optimization was achieved by conducting 23 experiments involving five independent operating factors: phenanthrene glucose concentration, temperature, pH value, NaCl concentration, and volume of inoculum. The levels of these factors, which were predicted to be 30-500mg/L, 35ºC, 6, 2% and 35mL respectively, resulted in increased phenanthrene degradation from 87%, to 100%, with improvement 115%. The voltage improved 226.3% from 292mV to 663mV, the power density improved 512% by increasing to 732.62mW/m2 from 143.1mW/m2 , the current density by 231.3% from 0.43mAm2 to 1.11mAm2 , the coulombic efficiency by 223.1% from 13% to 29%, and COD removal by 118.9% from 79% to 94%. The BWSD proved able to be applied efficiently for optimizing the phenanthrene biodegradation and generation of electricity from MFCs with regression coefficients for all factors exceeding 90%.
Authors and Affiliations
*Alshehri A. N. Z
Keywords
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- EP ID EP389989
- DOI 10.9790/3008-1204034359
- Views 85
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