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首页> 外文期刊>Journal of the Chemical Society of Pakistan >Jatropha curcas L.: A Non-food Oil Source for Optimized Biodiesel Production
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Jatropha curcas L.: A Non-food Oil Source for Optimized Biodiesel Production

机译:Joatropha Curcas L .:非食品油源优化生物柴油生产

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Response Surface Methodology (RSM) was applied based on central composite rotatable design (CCRD) to optimize transesterification reaction parameters for obtaining optimal biodiesel yield from Jatropha curcas oil. Transesterification variables such as: catalyst concentration (CC) (0.16-2%), reaction temperature (RT) (40-65 degrees C), molar ratio of oil and methanol (0.95-11.5), and reaction time (30-140 min) were optimized via RSM involving 2(4) full factorial CCRD design. The molar ratio of methanol to oil and RT were the most significant (p< 0.5) factors affecting the yield of Jatropha curcas oil methyl esters (JOMEs). A linear relationship was recorded between the observed and predicted values (R-2 = 0.766). Using multiple regression analysis, a quadratic polynomial equation was constructed to predict JOMEs yield. The quadratic term of molar ratio showed a significant impact on the JOMEs yield. The interaction terms of molar ratio and CC with reaction time exhibited positive impact on ester yield (p< 0.05). The optimum reaction conditions including CH3OH to oil ratio of 6:1, 1.0 % CC, 60 degrees C RT and 60 min reaction time offered the highest yield of JOMEs (99.90%). JOMEs were analytically characterized using GLC and FTIR. The fuel properties of produced JOMEs were in accordance to ASTM D6751 and EN 14214 standards.
机译:基于中央复合可旋转设计(CCRD)施加响应表面方法(RSM),以优化来自麻风树姜铁油的最佳生物柴油产量的酯交换反应参数。酯交换变量,如:催化剂浓度(Cc)(0.16-2%),反应温度(40-65℃),油和甲醇的摩尔比和反应时间(30-140分钟)(30-140分钟) )通过RSM优化,涉及2(4)个完整因子CCRD设计。甲醇与油状物和室温的摩尔比是影响麻风树胶油甲酯(JOMES)产量的最显着(P <0.5)因素。在观察和预测值之间记录线性关系(R-2 = 0.766)。使用多元回归分析,构建了二次多项式方程以预测jomes产量。摩尔比的二次术语显示出对历史率的显着影响。摩尔比和CC与反应时间的相互作用条款表现出对酯产率的阳性影响(P <0.05)。最佳反应条件包括CH3OH与油比为6:1,1.0%CC,60℃,60分钟的反应时间,提供了最高产量的Jomes(99.90%)。 jomes在使用Glc和FTIR的分析表征。产生的Jomes的燃料特性符合ASTM D6751和EN 14214标准。

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