Optical Photothermal Infrared (OPTIR) spectroscopy assisted by machine learning for lactic acid bacteria identification at strain level

Key Points

• The aim is to improve the identification of lactic acid bacteria strains using machine learning and optical photothermal infrared spectroscopy.
• Application of optical photothermal infrared spectroscopy for strain identification
• Integration of machine learning algorithms for data analysis
• Comparison with traditional methods such as 16S rRNA sequencing
• Machine learning improved identification accuracy of LAB strains
• OPTIR demonstrated faster processing times compared to traditional methods
• High correlation found between OPTIR results and conventional identification methods