IR-spectroscopy and PLS modelling for advanced bio-process monitoring: simultaneous and rapid sensing of various components

Katrin Pontius, Marta Bevilacqua, Helena Junicke, Krist V. Gernaey

Research output: Contribution to conferencePosterResearchpeer-review

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Industry is increasingly focusing on the development of more efficient and less time-consuming methods to monitor and control their fermentation processes at optimal conditions. Here, Infrared (IR) Spectroscopy is among the most promising techniques for on-line or at-line applications. Fitted to the fermenter by fiber optical probes, IR spectroscopy coupled with mathematical models relates the spectra to various components of interest. A measurement is completed within a minute and a variety of nutrients and metabolites can be detected in a single spectrum. Within this approach, PLS-models have been developed to predict the concentration of Glucose, Ethanol, Glycerol, Acetic acid, Ammonium and Phosphate in a yeast fermentation process.The method has been developed on a lab-scale fermentation setup, using YPD medium as a complex nutrient source, adjusting the operating conditions to mimic industrial operation. Our calibration models are built on both several yeast batch-fermentations, representing relevant different process conditions, and synthetic samples serving the need of decoupling the natural correlation dynamics of the target species. Additionally, IR spectra were collected with a classical FTIR instrument and the novel patented upconversion technology NLIR. The NLIR technology is considered for atline application and models built on both spectral datasets were compared regarding their performance.
Original languageEnglish
Publication date2018
Publication statusPublished - 2018
Event12th European Symposium on Biochemical Engineering Sciences - Lisbon, Portugal
Duration: 9 Sept 201812 Sept 2018
Conference number: 12


Conference12th European Symposium on Biochemical Engineering Sciences


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