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