响应面法优化小桐子油制备生物柴油工艺的研究

生物技术通报 ›› 2013, Vol. 0 ›› Issue (6): 183-187.

响应面法优化小桐子油制备生物柴油工艺的研究

张学林^{1, 5}, 唐湘华^1-5, 李俊俊^1-5, 宋拓^{1, 5}, 慕跃林^1-5, 许波^1-5, 杨云娟^1-5, 黄遵锡^1-5

(1.生物能源持续开发利用教育部工程研究中心, 昆明 650500;2.云南省酶资源开发与应用工程研究中心, 昆明 650500;3.云南省生物质能与环境生物技术重点试验室, 昆明 650500;4.云南师范大学酶工程重点试验室, 昆明 650500;5.云南师范大学生命科学学院, 昆明 650500)

收稿日期:2013-06-20 修回日期:2013-06-20 出版日期:2013-06-20 发布日期:2013-06-20
作者简介:张学林, 男, 硕士研究生, 研究方向: 酶的开发和应用;E-mail: ynzhangxuelin@163.com
基金资助:
国家自然科学基金项目(31160229), 科技部农业科技成果转化资金项目(2010GB2F300436)

Response Surface Methodology to Optimize Biodiesel Production Conditions by Jatropha curcas oil

Zhang Xuelin^{1, 5} Tang Xianghua^1-5 Li Junjun^1-5 Song Tuo^{1, 5} Mu Yuelin^1-5 Xu Bo^1-5 Yang Yunjuan^1-5 Huang Zunxi^1-5

(1. Engineering Research Center of Sustainable Development and Utilization of Biomass Energy, Ministry of Education, Kunming 650500;2. Enzymatic Resources Development and Application Engineering Research Center of Yunnan Province, Kunming 650500;3. Key Laboratory of Yunnan Province for Biomass Energy and Environmental Biotechnology, Kunming 650500;4. Key Laboratory of Enzyme Engineering of Yunnan Normal University, Kunming 650500;5. Life Science School of Yunnan Normal University, Kunming 650500)

Received:2013-06-20 Revised:2013-06-20 Published:2013-06-20 Online:2013-06-20

摘要/Abstract

摘要： 利用响应面分析法对小桐子油制备生物柴油的工艺进行了优化。在单因素的基础上选取试验因素和水平, 首先应用Plackett-Burman试验设计筛选影响脂肪酶催化小桐子油制备生物柴油的重要参数, 采用最陡爬坡试验逼近最大甲酯转化率区域后, 利用Box-Behnken设计确定重要因素的最佳水平。预测值和试验值吻合良好(R²为0.999;R²的调整值为0.998) , 表明利用BBD试验设计对该工艺的优化是成功的, 模型具有较好的适用性。优化结果表明影响甲酯得率的重要参数是: 醇油摩尔比、脂肪酶量和正己烷量, 最佳的酯化条件是醇油摩尔比1.72:1, 脂肪酶量为每克油脂添加112.5 U的量, 正己烷添加量为油重的11.96%, 水添加量为油重的20%, 反应温度为25℃, 反应时间为24 h。优化条件与初始条件相比较, 甲酯得率提高了2%-3%。

关键词: 小桐子油, 脂肪酶, 生物柴油, 响应面分析

Abstract: Response surface methodology(RSM)was used to optimize the conditions for biodiesel production by Jatropha curcas oil. Based on the single factor experiment, we screened the important parameters by Plackeet-burman design, and used the path of steepest ascent to approach to the biggest methyl ester yield production subsequently. Then, we obtained the optimum values of the parameters by Box-Behnken design. Predicted values were found to be in good agreement with experimental values(R-sq=0.999 and Adj R-sq=0.998), which indicated suitability of the model employed and the success of BBD in optimizing the conditions of biodiesel production process. The optimum technical conditions were: alcohol to oil molar ratio 1.72:1, lipase concentration 112.5 U each gram of oil, n-hexane content 11.96%, water content 20 %, reaction temperature at 25 ℃, and reaction time for 24 h. The methyl ester was higher 2%-3% than that under the original condition.

Key words: Jatropha curcas, oil, Lipase, Biodiesel, Response surface methodology

张学林, 唐湘华, 李俊俊, 宋拓, 慕跃林, 许波, 杨云娟, 黄遵锡. 响应面法优化小桐子油制备生物柴油工艺的研究[J]. 生物技术通报, 2013, 0(6): 183-187.

Zhang Xuelin, Tang Xianghua, Li Junjun, Song Tuo, Mu Yuelin, Xu Bo, Yang Yunjuan, Huang Zunxi. Response Surface Methodology to Optimize Biodiesel Production Conditions by Jatropha curcas oil[J]. Biotechnology Bulletin, 2013, 0(6): 183-187.

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