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Online Data Condensation for Digitalised Biopharmaceutical Processes

Gangadharan, Nishanthi; Cankorur-Cetinkaya, Ayca; Cheeks, Matthew; Routh, Alexander F; Dikicioglu, Duygu; (2023) Online Data Condensation for Digitalised Biopharmaceutical Processes. Computers & Chemical Engineering , 179 , Article 108402. 10.1016/j.compchemeng.2023.108402. Green open access

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Efficient control of a bioprocess relies on the ability to systematically capture and represent the process dynamics of critical process parameters. Multivariate monitoring techniques in biopharmaceuticals has resulted in the generation of large amounts of data comprising real-time measurements of critical quality and performance attributes. If exploited efficiently, these can provide an opportunity for developing better control action. For this, it is important to have a comprehensive view of the critical process parameter landscape, which can only be achieved by integrating both online and offline data into a single data matrix that can then be subjected to standard data analysis protocols. However, owing to the difference in the number of readings available for variables recorded online and offline, there is a need for new methods to achieve condensation capability. This paper introduces a novel methodology for condensing online data into an offline data matrix, which performed better when compared to traditionally employed averaging and helped increase the number of variables available for representing the design space of the process. The method was also used to understand how error propagates through online data, so as to identify an interval of tolerance in online monitoring of bioprocesses.

Type: Article
Title: Online Data Condensation for Digitalised Biopharmaceutical Processes
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.compchemeng.2023.108402
Publisher version: https://doi.org/10.1016/j.compchemeng.2023.108402
Language: English
Additional information: Copyright © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Bioprocess control, Online monitoring, Data condensation, Interruption in bioprocess monitoring, LpTS norm
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 Biochemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10177163
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