Hall, BL, Taylor, CJ, Labes, R orcid.org/0000-0003-4001-0775 et al. (4 more authors) (2021) Autonomous optimisation of a nanoparticle catalysed reduction reaction in continuous flow. Chemical Communications. ISSN 1359-7345
Abstract
An automated continuous flow reactor system equipped with inline analysis, was developed and applied in the self-optimisation of a nanoparticle catalysed reaction. The system was used to optimise the experimental conditions of a gold nanoparticle catalysed 4-nitrophenol reduction reaction, towards maximum conversion in under 2.5 hours. The data obtained from this optimisation was then used to generate a kinetic model, allowing us to predict the outcome of the reaction under different conditions. By combining continuous flow nanoparticle synthesis with this approach, the development timeline for these emerging catalysts could be significantly accelerated.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Royal Society of Chemistry 2021. This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. |
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) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/R032807/1 EPSRC (Engineering and Physical Sciences Research Council) EP/T012153/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Apr 2021 14:59 |
Last Modified: | 25 Jun 2023 22:38 |
Status: | Published online |
Publisher: | Royal Society of Chemistry |
Identification Number: | 10.1039/D1CC00859E |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:173056 |