Chemometric modelling with two-dimensional fluorescence data for Claviceps purpurea bioprocess characterization

Area of Science:

• Biotechnology
• Bioprocess Engineering
• Analytical Chemistry

Background:

• Modern bioprocess control necessitates rapid data acquisition and timely evaluation of critical process variables.
• Traditional off-line analysis methods are often time-consuming and hinder real-time bioprocess monitoring.
• On-line fluorescence spectroscopy offers a promising alternative for rapid data collection.

Purpose of the Study:

• To demonstrate the replacement of time-consuming off-line analysis with on-line fluorescence spectroscopy for bioprocess monitoring.
• To develop chemometric models for predicting key process variables in Claviceps purpurea cultivations.
• To assess the applicability of fluorescence spectroscopy and chemometrics for real-time bioprocess analysis.

Main Methods:

• Performed on-line fluorescence spectroscopy measurements during cultivations of the fungus Claviceps purpurea.
• Acquired fluorescence spectra for subsequent analysis.
• Developed chemometric models using the spectral data to predict process variables.

Main Results:

• Successfully developed chemometric models capable of predicting biomass, protein, and alkaloid concentrations.
• Demonstrated the potential of fluorescence spectroscopy to provide real-time data for bioprocess control.
• Established a correlation between fluorescence spectra and key metabolic parameters of Claviceps purpurea.

Conclusions:

• On-line fluorescence spectroscopy combined with chemometrics is a viable and efficient approach for modern bioprocess monitoring.
• This methodology allows for in-time evaluation of bioprocess variables, replacing slower traditional methods.
• The developed models show applicability for real-time monitoring and control of Claviceps purpurea cultivations.