Online quantitative mass spectrometry for the rapid adaptive optimisation of automated flow reactors

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

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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:
  • Published: 1 February 2016
  • Accepted: 25 November 2015
  • Published (online): 1 December 2015
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Chemical & Process Engineering (Leeds) > Institute for Particle Science and Engineering (Leeds)
The University of Leeds > Faculty of Maths and 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: https://doi.org/10.1039/c5re00083a

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