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Automated kinetic model identification via cloud services using model-based design of experiments

Agunloye, Emmanuel Gbenga; Petsagkourakis, Panagiotis; Yusuf, Muhammad; Labes, Ricardo; Chamberlain, Thomas W; Muller, Frans L; Bourne, Richard; (2024) Automated kinetic model identification via cloud services using model-based design of experiments. Reaction Chemistry & Engineering 10.1039/d4re00047a. (In press). Green open access

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Abstract

Industry 4.0 has birthed a new era for the chemical manufacturing sector, transforming reactor design and integrating digital twin into process control. To bridge the gap between autonomous chemistry development, on-demand manufacturing and real-time optimization, we developed a cloud-based platform driven by model-based design of experiment (MBDoE) algorithms integrated in a simulation software for model identification (SimBot) to remotely coordinate a smart flow reactor, also known as the LabBot, sited in a different location. With real-time data and setpoints synchronization, MBDoE was able to identify kinetic models using a limited number of experimental runs. Within this platform, two pharmaceutically relevant syntheses were investigated as case studies: amide formation and nucleophilic aromatic substitution. A new kinetic model providing statistically adequate data description within the whole investigated experimental design space was identified for the amide formation reaction. The model for the nucleophilic aromatic substitution with a well-known but complex mechanism was accurately identified ensuring a statistically precise estimation of kinetic parameters.

Type: Article
Title: Automated kinetic model identification via cloud services using model-based design of experiments
Open access status: An open access version is available from UCL Discovery
DOI: 10.1039/d4re00047a
Publisher version: http://dx.doi.org/10.1039/d4re00047a
Language: English
Additional information: This article is licensed under a Creative Commons Attribution 3.0 Unported Licence, https://creativecommons.org/licenses/by/3.0/.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10190137
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