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Raman-based PAT for VLP precipitation: systematic data diversification and preprocessing pipeline identification

Dietrich, Annabelle 1; Schiemer, Robin 2; Kurmann, Jasper 1; Zhang, Shiqi 1; Hubbuch, Jürgen ORCID iD icon 2
1 Karlsruher Institut für Technologie (KIT)
2 Institut für Bio- und Lebensmitteltechnik (BLT), Karlsruher Institut für Technologie (KIT)

Abstract:

Virus-like particles (VLPs) are a promising class of biopharmaceuticals for vaccines and targeted delivery. Starting from clarified lysate, VLPs are typically captured by selective precipitation. While VLP precipitation is induced by stepwise or continuous precipitant addition, current monitoring approaches do not
support the direct product quantification, and analytical methods usually require various, time-consuming processing and sample preparation steps. Here, the application of Raman spectroscopy combined with chemometric methods may allow the simultaneous quantification of the precipitated VLPs and precipitant
owing to its demonstrated advantages in analyzing crude, complex mixtures. In this study, we present a Raman spectroscopy-based Process Analytical Technology (PAT) tool developed on batch and fed-batch precipitation
experiments of Hepatitis B core Antigen VLPs. We conducted small-scale precipitation experiments providing a diversified data set with varying precipitation dynamics and backgrounds induced by initial dilution or spiking
of clarified Escherichia coli-derived lysates. For the Raman spectroscopy data, various preprocessing operations were systematically combined allowing the identification of a preprocessing pipeline, which proved to effectively eliminate initial lysate composition variations as well as most interferences attributed to precipitates and the precipitant present in solution. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000171932
Veröffentlicht am 24.06.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Bio- und Lebensmitteltechnik (BLT)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 31.05.2024
Sprache Englisch
Identifikator ISSN: 2296-4185
KITopen-ID: 1000171932
Erschienen in Frontiers in Bioengineering and Biotechnology
Verlag Frontiers Media SA
Band 12
Seiten Art.-Nr.: 1399938
Nachgewiesen in Scopus
Dimensions
Web of Science
Globale Ziele für nachhaltige Entwicklung Ziel 3 – Gesundheit und Wohlergehen
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