Clayton, AD orcid.org/0000-0002-4634-8008, Power, LA, Reynolds, W et al. (6 more authors) (2020) Self-Optimising Reactive Extractions: Towards the Efficient Development of Multi-Step Continuous Flow Processes. Journal of Flow Chemistry, 10. pp. 199-206. ISSN 2062-249X
Abstract
Downstream purification of products and intermediates is essential for the development of continuous flow processes. Described herein, is a study on the use of a modular and reconfigurable continuous flow platform for the self-optimisation of reactive extractions and multi-step reaction-extraction processes. The selective extraction of one amine from a mixture of two similar amines was achieved with an optimum separation of 90%, and in this case, the black-box optimisation approach was superior to global polynomial modelling. Furthermore, this methodology was utilised to simultaneously optimise the continuous flow synthesis and work-up of N-benzyl-α-methylbenzylamine with respect to four variables, resulting in a significantly improved purity.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
Keywords: | Continuous flow; Self-optimisation; Automation; Liquid-liquid extraction; Algorithm; Amines |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemistry (Leeds) > Inorganic Chemistry (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemistry (Leeds) > Organic Chemistry (Leeds) |
Funding Information: | Funder Grant number Royal Academy of Engineering RCSRF1920\9\38 |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Jan 2020 10:10 |
Last Modified: | 25 Jun 2023 22:07 |
Status: | Published |
Publisher: | Akadémiai Kiadó |
Identification Number: | 10.1007/s41981-020-00086-6 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:155776 |
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