Adaptive Process Optimization for Continuous Methylation of Alcohols in Supercritical Carbon Dioxide

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• 作者：Richard A. Bourne ; Ryan A. Skilton ; Andrew J. Parrott ; Derek J. Irvine ; Martyn Poliakoff
• 刊名：Organic Process Research & Development
• 出版年：2011
• 出版时间：July 15, 2011
• 年：2011
• 卷：15
• 期：4
• 页码：932-938
• 全文大小：876K
• 年卷期：v.15,no.4(July 15, 2011)
• ISSN：1520-586X

文摘

A self-optimizing continuous flow reactor has been developed using the Super-Modified Simplex algorithm. This system, coupled with online gas chromatographic analysis enables automated optimization via a feedback control loop without user intervention. This has been applied to the methylation of 1-pentanol in supercritical carbon dioxide using dimethyl carbonate and methanol with 纬-alumina catalyst to give 98% and 68% yield of pentyl methyl ether respectively. This was accomplished by variation of four reaction parameters; Temperature, Pressure, CO₂ Flow rate, and the Ratio of methylating agent.