利用响应面法优化甜杏仁(Prunusamygdalus Dulcis)和麻疯树(Jatropha Curcas)种子油生产生物柴油

A. O. Mustapha, Ahmed Dare Sarumi, Sheriphdeen Abiodun Adewuyi, Emmanuel Oluwatobi Ayantoyinbo, Blessing Ruth Adebayo, Rhoda Opeyemi Adams, Zainab Jasmie Abdulsalam, Samson Oladapo Bello
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引用次数: 2

摘要

自然资源的枯竭和石油对环境的负面影响引发了人们对生物柴油作为替代能源的兴趣。本土植物油具有作为生物柴油原料的潜力。植物油酯交换反应生产的生物柴油受催化剂用量、温度、速度、时间等多种输入因素调控,而密度和比重是输出。采用响应面法(RSM)对甜杏仁(prunusamygdalus dulcis)和麻疯树(jatropha curcas)种子油的酯交换工艺进行优化。在不同氢氧化钠浓度(0.3 ~ 1.5 wt %)、浓度(500 ~ 1000 rpm)、时间(20 ~ 60 min)、摩尔比和温度条件下,对生物柴油的产率、比重和密度进行优化。方差分析(ANOVA)结果显示,在催化剂(0.554 wt %)下,精制甜杏仁生物柴油(RSAB);
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Response Surface Methodology to Optimize Biodiesel Production from Sweet Almond (Prunusamygdalus Dulcis) and Jatropha (Jatropha Curcas) Seed Oils
The depletion of natural resources and the negative impact of oil on the environment have sparked interest in biodiesel as an alternative source of energy. Indigenous vegetable oils have the potential to be used as biodiesel feedstocks. Transesterification of vegetable oils produces biodiesel, which is regulated by numerous inputs factors, such as catalyst dosage, temperature, speed, and time while the density and specific gravity are outputs. Sweet almond (prunusamygdalus dulcis) and jatropha (jatropha curcas) seed oils were used to optimize conditions for the transesterification processes using the response surface methodology (RSM). The experimental matrix at different sodium hydroxide doses (0.3 – 1.5 wt %), intensity (500 – 1000 rpm), and time (20 – 60 min) in the presence of fixed molar ratio, and temperature were designed to optimize the biodiesel output variables (yield, specific gravity, and density).The analysis of variance (ANOVA) showed results for refined sweet almond biodiesel (RSAB) at catalyst (0.554 wt %),
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