Computer vision for kinetic analysis of lab- and process-scale mixing phenomena

Barrington, Henry and Dickinson, Alan and McGuire, Jake and Yan, Chunhui and Reid, Marc (2022) Computer vision for kinetic analysis of lab- and process-scale mixing phenomena. Organic Process Research and Development, 26 (11). pp. 3073-3088. ISSN 1083-6160 (https://doi.org/10.1021/acs.oprd.2c00216)

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Abstract

A software platform for the computer vision-enabled analysis of mixing phenomena of relevance to process scale-up is described. By bringing new and known time-resolved mixing metrics under one platform, hitherto unavailable comparisons of pixel-derived mixing metrics are exemplified across non-chemical and chemical processes. The analytical methods described are applicable using any camera and across an appreciable range of reactor scales, from development through to process scale-up. A case study in nucleophilic aromatic substitution run on a 5 L scale in a stirred tank reactor shows how camera and offline concentration analyses can be correlated. In some cases, it can be shown that camera data hold the power to predict reaction progress.

  • Item type:Article
    ID code:83278
    Dates:
    Date
    Event
    18 November 2022
    Published
    4 November 2022
    Published Online
    19 October 2022
    Accepted
    Subjects:Science > Chemistry
    Department:Faculty of Science > Pure and Applied Chemistry
    Depositing user: Pure Administrator
    Date deposited:18 Nov 2022 15:44
    Last modified:09 Apr 2024 03:37
    URI:https://strathprints.strath.ac.uk/id/eprint/83278
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