ArticleBiotechnology progress
Impact of bioreactor process parameters and yeast biomass on Raman spectra.
Article in Biotechnology progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Limits and benefits of unsupervised transfer learning for Raman spectroscopy-based bioprocess monitoring.Bioprocess and biosystems engineering · 2026Article
- Towards Rapid Calibration of Bioprocess Quantification Models Using Single Compound Raman Spectra: A Comparison of Four Approaches.Biotechnology and bioengineering · 2026Article
- Impact of bioreactor process parameters and yeast biomass on Raman spectra.Biotechnology progressArticle
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4 authors.
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Abstract
In-line Raman spectroscopy combined with chemometric modeling is a valuable process analytical technology (PAT) providing real-time quantitative information on cell culture compounds. Considering that compound quantification through chemometric models depends on pre-processing to maintain consistent changes in intensity at certain wavenumbers, all causes of signal distortion should be well understood to prevent quantification inaccuracies. This work investigated spectral distortion caused by the changing bioreactor parameters temperature, bubble quantity, and medium viscosity. In addition, the isolated spectral contribution of Saccharomyces cerevisiae cells in suspension was also determined. A temperature range from 20 to 40°C resulted in peak shifts up to 0.8 cm
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