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Processes 2014, 2(1), 24-33; doi:10.3390/pr2010024

Rapid Determination of Optimal Conditions in a Continuous Flow Reactor Using Process Analytical Technology

1, 2, 2, 3,4
1 Department of Chemistry, University of Washington, 4000 15th Ave NE, Seattle, WA 98105, USA 2 Applied Physics Laboratory, University of Washington, 1013 NE 40th Street, Seattle, WA 98105, USA 3 Tel-Tek, Kjølnes Ring 30, Porsgrunn 3918, Norway 4 Department of Chemistry, University of Bergen, P.O. Box 7800, Bergen NO-5020, Norway
* Author to whom correspondence should be addressed.
Received: 5 November 2013 / Revised: 13 December 2013 / Accepted: 16 December 2013 / Published: 27 December 2013
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Continuous flow reactors (CFRs) are an emerging technology that offer several advantages over traditional batch synthesis methods, including more efficient mixing schemes, rapid heat transfer, and increased user safety. Of particular interest to the specialty chemical and pharmaceutical manufacturing industries is the significantly improved reliability and product reproducibility over time. CFR reproducibility can be attributed to the reactors achieving and maintaining a steady state once all physical and chemical conditions have stabilized. This work describes the implementation of a smart CFR with univariate physical and multivariate chemical monitoring that allows for rapid determination of steady state, requiring less than one minute. Additionally, the use of process analytical technology further enabled a significant reduction in the time and cost associated with offline validation methods. The technology implemented for this study is chemistry and hardware agnostic, making this approach a viable means of optimizing the conditions of any CFR.
Keywords: continuous flow; Raman spectroscopy; process optimization continuous flow; Raman spectroscopy; process optimization
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Roberto, M.F.; Dearing, T.I.; Branham, C.W.; Bleie, O.; Marquardt, B.J. Rapid Determination of Optimal Conditions in a Continuous Flow Reactor Using Process Analytical Technology. Processes 2014, 2, 24-33.

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