Jeong Gwi-Taek, Park Don-Hee
School of Biological Sciences and Technology, Engineering Research Institute, Interdisciplinary Program of Graduate School for Bioenergy & Biomaterials, Chonnam National University, Gwangju 500-757, South Korea.
Appl Biochem Biotechnol. 2009 May;156(1-3):1-11. doi: 10.1007/s12010-008-8468-9. Epub 2008 Dec 17.
The short supply of edible vegetable oils is the limiting factor in the progression of biodiesel technology; thus, in this study, we applied response surface methodology in order to optimize the reaction factors for biodiesel synthesis from inedible castor oil. Specifically, we evaluated the effects of multiple parameters and their reciprocal interactions using a five-level three-factor design. In a total of 20 individual experiments, we optimized the reaction temperature, oil-to-methanol molar ratio, and quantity of catalyst. Our model equation predicted that the following conditions would generate the maximum quantity of castor biodiesel (92 wt.%): a 40-min reaction at 35.5 degrees C, with an oil-to-methanol molar ratio of 1:8.24, and a catalyst concentration of 1.45% of KOH by weight of castor oil. Subsequent empirical analyses of the biodiesel generated under the predicted conditions showed that the model equation accurately predicted castor biodiesel yields within the tested ranges. The biodiesel produced from castor oil satisfied the relevant quality standards without regard to viscosity and cold filter plugging point.
食用植物油的短缺是生物柴油技术发展的限制因素；因此，在本研究中，我们应用响应面法来优化以不可食用的蓖麻油合成生物柴油的反应因素。具体而言，我们使用五水平三因素设计评估了多个参数及其相互作用的影响。在总共20个独立实验中，我们优化了反应温度、油与甲醇的摩尔比以及催化剂用量。我们的模型方程预测，以下条件将产生最大量的蓖麻生物柴油（92重量%）：在35.5摄氏度下反应40分钟，油与甲醇的摩尔比为1:8.24，催化剂浓度为蓖麻油重量的1.45%的氢氧化钾。随后对在预测条件下生成的生物柴油进行的实证分析表明，该模型方程在测试范围内准确预测了蓖麻生物柴油的产率。由蓖麻油生产的生物柴油在粘度和冷滤点方面均符合相关质量标准。
