Improving LIBS machine learning bacteria classification performance based on self-absorption correction

Journal of Analytical Atomic Spectrometry 2026

View at publisher
Authors: Fei Chen, Jiahui Liang, Zhihui Tian, Yang Zhao, Lei Zhang, Wangbao Yin, Jiaxuan Li, Liantuan Xiao, Suotang Jia
DOI: 10.1039/d6ja00122j
Cited by: 1
References: 31

Abstract

A doublet intensity-ratio correction strategy reduces self-absorption effects in bacterial LIBS spectra, enabling improved machine-learning-based classification.

Fields of Study & Subjects

Laser-induced spectroscopy and plasma Bacterial Identification and Susceptibility Testing Advanced Proteomics Techniques and Applications

Publication details

Journal / source
Journal of Analytical Atomic Spectrometry
Publisher
Royal Society of Chemistry (RSC)
Volume
41
Issue
7
Pages
2428–2442
Publication date
1 January 2026
Language
EN