Optical photothermal infrared (OPTIR) spectroscopy assisted by machine learning for lactic acid bacteria identification at strain level
- 20 January 2026
- journal article
- research article
- Published by Royal Society of Chemistry (RSC) in The Analyst
- Vol. 151 (4) , 1172-1181
Abstract
Lactic acid bacteria (LAB) are widely used in food, health, and biotechnology sectors. Optical photothermal infrared (OPTIR) spectroscopy assisted by machine learning is explored for improved strain level identification.Keywords
This publication has 29 references indexed in Scilit:
- Deep learning-assisted Raman spectroscopy for rapid lactic acid bacteria identification at the colony levelSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2025
- Comparative genomics of four lactic acid bacteria identified with Vitek MS (MALDI-TOF) and whole-genome sequencingMolecular Genetics and Genomics, 2024
- Screening of lactic acid bacteria for their potential use as aromatic starters in fermented vegetablesInternational Journal of Food Microbiology, 2021
- A comparative study of different PCR-based DNA fingerprinting techniques for typing of lactic acid bacteriaEuropean Food Research and Technology, 2014
- MALDI TOF MS profiling of bacteria at the strain level: A reviewMass Spectrometry Reviews, 2012
- Comparative evaluation of three molecular typing methods in their applicability to differentiate Lactobacillus strains with human originWorld Journal of Microbiology and Biotechnology, 2007
- Identification of lactic acid bacteria using FTIR spectroscopy and cluster analysisInternational Dairy Journal, 2007
- FT-IR spectroscopy for identification of closely related lactobacilliJournal of Microbiological Methods, 2004
- Discrimination of Bacteria Using Surface-Enhanced Raman SpectroscopyAnalytical Chemistry, 2003
- Identification of medically relevant microorganisms by vibrational spectroscopyJournal of Microbiological Methods, 2002