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Response Surface Methodology for Biobutanol Optimization Using Locally Isolated Clostridium acetobutylicum YM1
Journal
International Journal Of Green Energy
Date Issued
2015
Author(s)
DOI
10.1080/15435075.2014.895738
Abstract
In this study, response surface methodology (RSM) was applied to optimize and investigate the ability of yeast extract, CaCO3, MgSO4, and K2HPO4 to maximize biobutanol production by a novel local isolate of Clostridium acetobutylicum YM1. A central composite design was applied as the experimental design, and analysis of variance (ANOVA) was used to analyze the experimental data. A quadratic polynomial equation was obtained for biobutanol production by multiple regression analysis. ANOVA analysis showed that the model was significant (p < 0.0001), and the yeast extract, CaCO3, and MgSO4 concentrations had a significant effect on biobutanol production. However, K2HPO4 did not have a significant effect on biobutanol production. The estimated optimum combinations for biobutanol production using C. acetobutylicum YM1 were 2 g/L yeast extract, 6 g/L CaCO3, 0.1 g/L MgSO4, and 1.1 g/L K2HPO4. Subsequently, the model was validated through use of the estimated optimum conditions, which confirmed the model validity and 13.67 g/L of biobutanol was produced.
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Response Surface Methodology For Biobutanol Optimization Using Locally Isolated Clostridium Acetobutylicum YM1.pdf
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Response Surface Methodology For Biobutanol Optimization Using Locally Isolated Clostridium Acetobutylicum YM1
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