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 γ-alumina catalyst to give 98% and ∼68% yield of pentyl methyl ether respectively. This was accomplished by variation of four reaction parameters; Temperature, Pressure, CO 2 Flow rate, and the Ratio of methylating agent.
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Bourne et al. (2011) studied this question.
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