Thesis
Combining spectroscopy with automation in bioprocess development - towards a new tool for industry 4.0
- Creator
- Rights statement
- Awarding institution
- University of Strathclyde
- Date of award
- 2022
- Thesis identifier
- T16173
- Person Identifier (Local)
- 201392677
- Qualification Level
- Qualification Name
- Department, School or Faculty
- Abstract
- The biopharmaceutical industry has long relied on the work of microbiologists to perform labour intensive experiments in bioprocess development. Real time information on the specific dynamics of each experiment would represent a major breakthrough in understanding bioprocesses. This would lead to higher productivity, shortened development cycles, ultimately resulting in cheaper drugs reaching the clinic faster with potentially improved safety and efficacy.The purpose of this thesis is to expedite the biopharmaceutical development by combining automation and near infrared spectroscopy in the early stages of bioprocess development. It develops the first automated spectroscopic system for automated smallvolume bioreactors. After describing the hardware, software, optimization and testing of this new tool, various advantages and challenges that come with such system are discussed.The advantages of automation when put to use into spectroscopy are quickly apparent. The automated approach can collect a - highly replicable - calibration dataset six times faster than the traditional approach, eliminating human error. Multivariate data analysis, including PCA and PLS, proved that valid real time measurements of analytes of interest in the fermentation media can be obtained.The use of the developed models for extrapolation showed limited success. Better results were obtained when an endogenous calibration dataset was prepared through means of automation. This exercise allowed the identification of critical success areas for developing a spectroscopy-based measuring system for small automated bioreactors. In the end, a roadmap for future implementation of an automated NIR system is provided that summarises the key lessons drawn from this thesis.
- Advisor / supervisor
- McNeil, Brian, 1954-
- Stacey, Adrian
- Resource Type
- DOI
Beziehungen
Objekte
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PDF of thesis T16173 | 2022-03-11 | Öffentlich | Herunterladen |