LDH负载的高分散K2CO3超快速制备生物柴油

IF 1.5 4区 化学 Q4 CHEMISTRY, PHYSICAL
Ying Yang, Shuang Tao, Guangtao Li, Aijun Guo, Ying Tang
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引用次数: 0

摘要

采用层状双氢氧化物(LDH)负载的Mg-Al水滑石制备了一种新的非均相K2CO3,并将其用作甲醇、植物油和乙酸甲酯三组分偶联酯交换法制备生物柴油的催化剂。K2CO3/Mg‐Al具有较高的催化活性,在60℃条件下,当K2CO3/Mg‐Al质量分数为6 wt.%,菜籽油、乙酸甲酯和甲醇的摩尔比为1:1:12时,生物柴油的产率可在20 min内达到99.48%。采用傅里叶变换红外光谱、X射线衍射(XRD)、扫描电镜、氮气物理吸附、热重分析和CO2化学吸附等方法对制备的K2CO3/Mg - Al的物理性质进行了表征。采用三组分偶联酯交换法,与以油和甲醇为原料的单组分酯交换法相比,成本从8458元/吨降低到7424元/吨,可降低12.2%的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Super rapid preparation of biodiesel over highly dispersed K2CO3 supported by LDH

A new heterogeneous K2CO3 supported by a layered double hydroxide (LDH), Mg–Al hydrotalcite, was prepared and used as a catalyst for the biodiesel preparation by a tri-component coupling transesterification of methanol, vegetable oil, and methyl acetate. K2CO3/Mg-Al exhibits high catalytic activities, and biodiesel yield can reach 99.48% within 20 min under 60°C, with 6 wt.% of K2CO3/Mg-Al, 1:1:12 molar ratio of rapeseed oil, methyl acetate, and methanol. Fourier-transform infrared spectroscopy, X-ray diffraction (XRD), scanning electron microscopy, nitrogen physical adsorption, thermogravimetry analysis, and CO2-chemical adsorption were used to assess the physical properties of the prepared K2CO3/Mg-Al. Using the tri-component coupling transesterification, 12.2% cost reduce can be get by reducing the cost from 8458 to 7424 ¥/t compared with di-component transesterification containing oil and methanol as resource.

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来源期刊
CiteScore
3.30
自引率
6.70%
发文量
74
审稿时长
3 months
期刊介绍: As the leading archival journal devoted exclusively to chemical kinetics, the International Journal of Chemical Kinetics publishes original research in gas phase, condensed phase, and polymer reaction kinetics, as well as biochemical and surface kinetics. The Journal seeks to be the primary archive for careful experimental measurements of reaction kinetics, in both simple and complex systems. The Journal also presents new developments in applied theoretical kinetics and publishes large kinetic models, and the algorithms and estimates used in these models. These include methods for handling the large reaction networks important in biochemistry, catalysis, and free radical chemistry. In addition, the Journal explores such topics as the quantitative relationships between molecular structure and chemical reactivity, organic/inorganic chemistry and reaction mechanisms, and the reactive chemistry at interfaces.
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