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Automated calibration and in‐line measurement of product quality during therapeutic monoclonal antibody purification using Raman spectroscopy

Wang, Jiarui; Chen, Jingyi 1; Studts, Joey; Wang, Gang
1 Institut für Bio- und Lebensmitteltechnik (BLT), Karlsruher Institut für Technologie (KIT)

Abstract:

Current manufacturing and development processes for therapeutic monoclonal antibodies demand increasing volumes of analytical testing for both real-time process controls and high-throughput process development. The feasibility of using Raman spectroscopy as an in-line product quality measuring tool has been recently demonstrated and promises to relieve this analytical bottleneck. Here, we resolve time-consuming calibration process that requires fractionation and preparative experiments covering variations of product quality attributes (PQAs) by engineering an automation system capable of collecting Raman spectra on the order of hundreds of calibration points from two to three stock seed solutions differing in protein concentration and aggregate level using controlled mixing. We used this automated system to calibrate multi-PQA models that accurately measured product concentration and aggregation every 9.3 s using an in-line flow-cell. We demonstrate the application of a nonlinear calibration model for monitoring product quality in real-time during a biopharmaceutical purification process intended for clinical and commercial manufacturing. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000161507
Veröffentlicht am 23.08.2023
Originalveröffentlichung
DOI: 10.1002/bit.28514
Scopus
Zitationen: 3
Web of Science
Zitationen: 2
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Bio- und Lebensmitteltechnik (BLT)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 11.2023
Sprache Englisch
Identifikator ISSN: 0006-3592, 1097-0290
KITopen-ID: 1000161507
Erschienen in Biotechnology and Bioengineering
Verlag John Wiley and Sons
Band 120
Heft 11
Seiten 3288–3298
Vorab online veröffentlicht am 03.08.2023
Schlagwörter automation, clinical manufacturing, machine learning, process analytical technology, Raman spectroscopy, therapeutic antibody
Nachgewiesen in Web of Science
Scopus
Dimensions
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