Holmes, N orcid.org/0000-0002-3846-6493, Akien, GR, Savage, RJD et al. (7 more authors) (2016) Online quantitative mass spectrometry for the rapid adaptive optimisation of automated flow reactors. Reaction Chemistry & Engineering, 1 (1). pp. 96-100. ISSN 2058-9883
Abstract
An automated continuous reactor for the synthesis of organic compounds, which uses online mass spectrometry (MS) for reaction monitoring and product quantification, is presented. Quantitative and rapid MS monitoring was developed and calibrated using HPLC. The amidation of methyl nicotinate with aqueous MeNH2 was optimised using design of experiments and a self-optimisation algorithm approach to produce >93% yield.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Royal Society of Chemistry 2016. This is an author produced version of a paper published in Reaction Chemistry & Engineering. Uploaded in accordance with the publisher's self-archiving policy. |
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) > Institute for Particle Science and Engineering (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemistry (Leeds) > Organic Chemistry (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Jan 2016 17:07 |
Last Modified: | 11 Dec 2016 14:22 |
Published Version: | http://dx.doi.org/10.1039/c5re00083a |
Status: | Published |
Publisher: | Royal Society of Chemistry |
Identification Number: | 10.1039/c5re00083a |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:92903 |