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Modern day monitoring and control challenges outlined on an industrial-scale benchmark fermentation process

Goldrick, S; Duran-Villalobos, CA; Jankauskas, K; Lovett, D; Farid, SS; Lennox, B; (2019) Modern day monitoring and control challenges outlined on an industrial-scale benchmark fermentation process. Computers and Chemical Engineering , 130 , Article 106471. 10.1016/j.compchemeng.2019.05.037. Green open access

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Abstract

This paper outlines real-world control challenges faced by modern-day biopharmaceutical facilities through the extension of a previously developed industrial-scale penicillin fermentation simulation (IndPenSim). The extensions include the addition of a simulated Raman spectroscopy device for the purpose of developing, evaluating and implementation of advanced and innovative control solutions applicable to biotechnology facilities. IndPenSim can be operated in fixed or operator controlled mode and generates all the available on-line, off-line and Raman spectra for each batch. The capabilities of IndPenSim were initially demonstrated through the implementation of a QbD methodology utilising the three stages of the PAT framework. Furthermore, IndPenSim evaluated a fault detection algorithm to detect process faults occurring on different batches recorded throughout a yearly campaign. The simulator and all data presented here are available to download at www.industrialpenicillinsimulation.com and acts as a benchmark for researchers to analyse, improve and optimise the current control strategy implemented on this facility. Additionally, a highly valuable data resource containing 100 batches with all available process and Raman spectroscopy measurements is freely available to download. This data is highly suitable for the development of big data analytics, machine learning (ML) or artificial intelligence (AI) algorithms applicable to the biopharmaceutical industry.

Type: Article
Title: Modern day monitoring and control challenges outlined on an industrial-scale benchmark fermentation process
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.compchemeng.2019.05.037
Publisher version: https://doi.org/10.1016/j.compchemeng.2019.05.037
Language: English
Additional information: © 2019 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license. (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Modelling, Control, Process analytic technology (PAT), Quality by Design (QbD), Biopharmaceutical, Raman spectroscopy, Fault detection
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/10082538
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