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Updated: Sep 6, 2025

Expression and Purification of Virus-like Particles for Vaccination
Published on: June 2, 2016
Recent advances to accelerate purification process development: A review with a focus on vaccines
Daphne Keulen1, Geoffroy Geldhof2, Olivier Le Bussy2
1Department of Biotechnology, Delft University of Technology, Van der Maasweg 9, Delft 2629, the Netherlands.
Developing vaccines is costly and slow. This review explores high throughput process development (HTPD) and AI to accelerate vaccine purification, reduce costs, and improve process understanding.
Area of Science:
- Biopharmaceutical process development
- Vaccine purification technologies
Background:
- Vaccine development requires stringent safety standards, making it time-consuming and expensive.
- Reducing time-to-market for vaccines is crucial for public health and economic reasons.
- Systematic and efficient process development strategies are needed to accelerate vaccine production.
Purpose of the Study:
- To review downstream process development strategies for (bio)pharmaceutical vaccine purification.
- To discuss and compare high throughput process development (HTPD) and combinatorial approaches.
- To highlight the role of novel modeling tools and artificial intelligence (AI) in process understanding.
Main Methods:
- Review of existing literature on downstream process development in the (bio)pharmaceutical industry.
- Focus on strategies applied to (protein subunit) vaccine purification.
- Discussion of high throughput technologies, statistical and mechanistic modeling, and AI.
Main Results:
- High throughput process development (HTPD), especially model-based HTPD, enables faster screening and increased knowledge.
- Chromatography is a key separation technique in achieving high purity for vaccines.
- Novel modeling tools and AI are increasingly important for data analysis and process understanding.
Conclusions:
- Accelerated process development through HTPD and combinatorial approaches can reduce vaccine time-to-market.
- Advanced modeling and AI are essential for extracting deeper insights from complex process data.
- Optimized downstream processing is critical for efficient and cost-effective vaccine manufacturing.
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