Monitoring multiple components in vinegar fermentation using Raman spectroscopy

Area of Science:

• Analytical Chemistry
• Biotechnology
• Process Monitoring

Background:

• Fermentation processes require real-time monitoring of multiple chemical components for optimal control.
• Traditional analytical methods can be time-consuming and labor-intensive for multi-component analysis.

Purpose of the Study:

• To investigate the effectiveness of Raman spectroscopy (RS) coupled with chemometric methods for quantifying multiple analytes during fermentation.
• To establish RS-PLS as a viable alternative to conventional methods like HPLC for fermentation monitoring.

Main Methods:

• Raman spectroscopy (RS) was employed for spectral data acquisition.
• Partial Least Squares (PLS) chemometric method was utilized for quantitative analysis.
• Calibration was performed using model solutions, and prediction capabilities were validated with model and real samples.
• High-Performance Liquid Chromatography (HPLC) served as the reference method for comparison.

Main Results:

• RS-PLS demonstrated high accuracy in predicting glucose (R(2)=0.973), fructose (R(2)=0.988), ethanol (R(2)=0.996), and acetic acid (R(2)=0.983) concentrations.
• Excellent correlations were observed between RS-PLS predictions and HPLC reference values.
• The method proved effective for monitoring key components throughout the two-stage fermentation process.

Conclusions:

• The combination of Raman spectroscopy and chemometric methods provides a powerful tool for comprehensive fermentation monitoring.
• This integrated approach allows for simultaneous quantification of multiple components with a single, rapid measurement.
• RS-PLS offers a time-efficient and accurate solution for real-time process control in fermentation industries.