Modern day monitoring and control challenges outlined on an industrial-scale benchmark fermentation process. (2nd November 2019)

• Record Type: Journal Article
• Authors: Goldrick, Stephen; Duran-Villalobos, Carlos A.; Jankauskas, Karolis; Lovett, David; Farid, Suzanne S.; Lennox, Barry
• Is Part Of: Computers & chemical engineering. Volume 130(2019)
• Publication Date: 2019-11-02
• Subjects: Modelling -- Control -- Process analytic technology (PAT) -- Quality by Design (QbD) -- Biopharmaceutical -- Raman spectroscopy -- Fault detection; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2019.05.037
• Languages: English
• ISSNs: 0098-1354

Abstract

Highlights: Benchmark simulator for researchers to compare and validate novel controllers. Outline of control challenges applicable to modern day biopharmaceutical facilities. Development of a Raman spectroscopy simulation applicable for advanced controller design. Implementation of a Quality by Design approach enabling process optimisation. Comparison of fault detection algorithms for process fault identification. 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.