Recent advances to accelerate purification process development: A review with a focus on vaccines

Daphne Keulen, Geoffroy Geldhof, Olivier Le Bussy, Martin Pabst, Marcel Ottens*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)
184 Downloads (Pure)

Abstract

The safety requirements for vaccines are extremely high since they are administered to healthy people. For that reason, vaccine development is time-consuming and very expensive. Reducing time-to-market is key for pharmaceutical companies, saving lives and money. Therefore the need is raised for systematic, general and efficient process development strategies to shorten development times and enhance process understanding. High throughput technologies tremendously increased the volume of process-related data available and, combined with statistical and mechanistic modeling, new high throughput process development (HTPD) approaches evolved. The introduction of model-based HTPD enabled faster and broader screening of conditions, and furthermore increased knowledge. Model-based HTPD has particularly been important for chromatography, which is a crucial separation technique to attain high purities. This review provides an overview of downstream process development strategies and tools used within the (bio)pharmaceutical industry, focusing attention on (protein subunit) vaccine purification processes. Subsequently high throughput process development and other combinatorial approaches are discussed and compared according to their experimental effort and understanding. Within a growing sea of information, novel modeling tools and artificial intelligence (AI) gain importance for finding patterns behind the data and thereby acquiring a deeper process understanding.

Original languageEnglish
Article number463195
Number of pages12
JournalJournal of Chromatography A
Volume1676
DOIs
Publication statusPublished - 2022

Keywords

  • Artificial intelligence
  • Chromatography
  • Downstream processing
  • Model-based high throughput process development
  • Vaccine purification processes

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