eprintid: 10082538 rev_number: 21 eprint_status: archive userid: 608 dir: disk0/10/08/25/38 datestamp: 2019-09-30 13:32:13 lastmod: 2021-12-05 00:55:24 status_changed: 2019-09-30 13:32:13 type: article metadata_visibility: show creators_name: Goldrick, S creators_name: Duran-Villalobos, CA creators_name: Jankauskas, K creators_name: Lovett, D creators_name: Farid, SS creators_name: Lennox, B title: Modern day monitoring and control challenges outlined on an industrial-scale benchmark fermentation process ispublished: pub divisions: UCL divisions: B04 divisions: C05 divisions: F47 keywords: Modelling, Control, Process analytic technology (PAT), Quality by Design (QbD), Biopharmaceutical, Raman spectroscopy, Fault detection note: © 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/). 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. date: 2019-11-02 date_type: published official_url: https://doi.org/10.1016/j.compchemeng.2019.05.037 oa_status: green full_text_type: pub language: eng primo: open primo_central: open_green article_type_text: Journal Article verified: verified_manual elements_id: 1693115 doi: 10.1016/j.compchemeng.2019.05.037 language_elements: English lyricists_name: Farid, Suzanne lyricists_name: Goldrick, Stephen lyricists_id: SFARI53 lyricists_id: SGOLD17 actors_name: Goldrick, Stephen actors_id: SGOLD17 actors_role: owner full_text_status: public publication: Computers and Chemical Engineering volume: 130 article_number: 106471 issn: 0098-1354 citation: 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 <https://doi.org/10.1016/j.compchemeng.2019.05.037>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10082538/7/Goldrick_Modern%20day%20monitoring%20and%20control%20challenges%20outlined%20on%20an%20industrial-scale%20benchmark%20fermentation%20process_VoR.pdf