Buurma, Niklaas J. ORCID: https://orcid.org/0000-0003-0260-5057 and Bagley, Scott W.
2023.
A focus on computer vision for non-contact monitoring of catalyst degradation and product formation kinetics.
Chemical Science
14
(40)
, pp. 10994-10996.
10.1039/d3sc90145a
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Available under License Creative Commons Attribution. Download (191kB) |
Official URL: https://doi.org/10.1039/d3sc90145a
Abstract
Chemists know the value of looking at a reaction for clues about reaction progress and success, but what-it-looks-like has never been quantified. Reid and co-workers (C. Yan, M. Cowie, C. Howcutt, K. M. P. Wheelhouse, N. S. Hodnett, M. Kollie, M. Gildea, M. H. Goodfellow and M. Reid, Chem. Sci., 2023, 14, 5323–5331, https://doi.org/10.1039/d2sc05702f) have developed an approach that uses camera footage of reactions to obtain quantitative descriptors of changes in reaction mixtures to support kinetic analysis.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Chemistry |
| Additional Information: | License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by/3.0/, Start Date: 2023-09-27 |
| Publisher: | Royal Society of Chemistry |
| ISSN: | 2041-6520 |
| Date of First Compliant Deposit: | 28 September 2023 |
| Last Modified: | 31 Oct 2023 15:36 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/162804 |
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