RENEWABLE ENERGY | 卷:105 |
Process optimization for biodiesel production from waste cooking oil using multi-enzyme systems through response surface methodology | |
Article | |
Babaki, Mohadese1  Yousefi, Maryam2  Habibi, Zohreh1  Mohammadi, Mehdi3  | |
[1] Shahid Beheshti Univ, GC, Fac Chem, Dept Pure Chem, Tehran, Iran | |
[2] ACECR, Avicenna Res Inst, Nanobiotechnol Res Ctr, Tehran, Iran | |
[3] NIGEB, Inst Ind & Environm Biotechnol, Bioproc Engn Dept, Tehran, Iran | |
关键词: Biodiesel; Lipase; Immobilization; Waste cooking oil; Response surface methodology; | |
DOI : 10.1016/j.renene.2016.12.086 | |
来源: Elsevier | |
【 摘 要 】
Lipase from Rhizomucor miehei (RML) and lipase B from Candida antarctica (CALB) were covalently immobilized onto epoxy-functionalized silica. In this study, we developed a multi-enzyme system to produce biodiesel with waste cooking oil and methanol. To increase the biodiesel production yield, a mixture of 1,3-specific lipase (RML) and nonspecific lipase (CALB) was used. Response Surface Methodology (RSM) and a central composite rotatable design (CCRD) was used to study the effects of four factors, CALB:RML ratio, ratio of t-butanol to oil (wt.%), water adsorbent Content (wt.%) and reaction time on the fatty acid methyl esters (FAME) yield. A quadratic polynomial equation was obtained for methanolysis reaction by multiple regression analysis. The optimum combinations for the reaction were CALB:RML ratio (3:1), t-butanol to oil (10 wt%), water adsorbent content (22.5 wt%) at the reaction time of 10 h. FAME yield of 91.5%, which was very close to the predicted value of 95.6%, was obtained. Verification experiment confirmed the validity of the predicted model. (C) 2017 Elsevier Ltd. All rights reserved.
【 授权许可】
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