Harnessing Raman spectroscopy for cell therapy bioprocessing

Biotechnol Adv. 2024 Dec:77:108472. doi: 10.1016/j.biotechadv.2024.108472. Epub 2024 Oct 28.

Abstract

Cell therapy manufacturing requires precise monitoring of critical parameters to ensure product quality, consistency and to facilitate the implementation of cost-effective processes. While conventional analytical methods offer limited real-time insights, integration of process analytical technology tools such as Raman spectroscopy in bioprocessing has the potential to drive efficiency and reliability during the manufacture of cell-based therapies while meeting stringent regulatory requirements. The non-destructive nature of Raman spectroscopy, combined with its ability to be integrated on-line with scalable platforms, allows for continuous data acquisition, enabling real-time correlations between process parameters and critical quality attributes. Herein, we review the role of Raman spectroscopy in cell therapy bioprocessing and discuss how simultaneous measurement of distinct parameters and attributes, such as cell density, viability, metabolites and cell identity biomarkers can streamline on-line monitoring and facilitate adaptive process control. This, in turn, enhances productivity and mitigates process-related risks. We focus on recent advances integrating Raman spectroscopy across various manufacturing stages, from optimizing culture media feeds to monitoring bioprocess dynamics, covering downstream applications such as detection of co-isolated contaminating cells, cryopreservation, and quality control of the drug product. Finally, we discuss the potential of Raman spectroscopy to revolutionize current practices and accelerate the development of advanced therapy medicinal products.

Keywords: Bioprocess control; Bioreactors; Cell therapy manufacturing; Critical process parameters; Critical quality attributes; Process analytical technology.

Publication types

  • Review

MeSH terms

  • Animals
  • Cell- and Tissue-Based Therapy*
  • Humans
  • Spectrum Analysis, Raman* / methods