Application of a fluorescent dye-based microfluidic sensor for real-time detection of mAb aggregates

Journal Article (2023)
Author(s)

M. Neves Sao Pedro (TU Delft - BT/Bioprocess Engineering)

Michel Eppink (Wageningen University & Research, Byondis B.V., Nijmegen)

M. Ottens (TU Delft - BT/Design and Engineering Education)

Research Group
BT/Design and Engineering Education
Copyright
© 2023 M. Neves Sao Pedro, Michel H.M. Eppink, M. Ottens
DOI related publication
https://doi.org/10.1002/btpr.3355
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 M. Neves Sao Pedro, Michel H.M. Eppink, M. Ottens
Related content
Research Group
BT/Design and Engineering Education
Issue number
5
Volume number
40 (2024)
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Abstract

The lack of process analytical technologies able to provide real-time information and process control over a biopharmaceutical process has long impaired the transition to continuous biomanufacturing. For the monoclonal antibody (mAb) production, aggregate formation is a major critical quality attribute (CQA) with several known process parameters (i.e., protein concentration and agitation) influencing this phenomenon. The development of a real-time tool to monitor aggregate formation is then crucial to gain control and achieve a continuous processing. Due to an inherent short operation time, miniaturized biosensors placed after each step can be a powerful solution. In this work, the development of a fluorescent dye-based microfluidic sensor for fast at-line PAT is described, using fluorescent dyes to examine possible mAb size differences. A zigzag microchannel, which provides 90% of mixing efficiency under 30 s, coupled to an UV–Vis detector, and using four FDs, was studied and validated. With different generated mAb aggregation samples, the FDs Bis-ANS and CCVJ were able to robustly detect from, at least, 2.5% to 10% of aggregation. The proposed FD-based micromixer is then ultimately implemented and validated in a lab-scale purification system, demonstrating the potential of a miniaturized biosensor to speed up CQAs measurement in a continuous process.