A New Laser Induced Breakdown Spectroscopy (LIBS) Spectral Data Analysis Method Using No Database Reference or Peak Wavelength Search

Hiromi YOKOTA; katsushige FUJIMOTO; Tomohiko KAWAKAMI; Sakiko NAGAYAMA; Kodai OKAZAKI; Etsuyo MAKUUCHI; Yuta ABE; Masahiko OTAKA

doi:10.3156/jsoft.35.1_561

Short Notes

A New Laser Induced Breakdown Spectroscopy (LIBS) Spectral Data Analysis Method Using No Database Reference or Peak Wavelength Search

Hiromi YOKOTA, katsushige FUJIMOTO, Tomohiko KAWAKAMI, Sakiko NAGAYAMA, Kodai OKAZAKI, Etsuyo MAKUUCHI, Yuta ABE, Masahiko OTAKA

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Keywords: LIBS, regularized asymmetric least squares method, nonnegative matrix factorization, decision tree

JOURNAL FREE ACCESS

2023 Volume 35 Issue 1 Pages 561-566

DOI https://doi.org/10.3156/jsoft.35.1_561

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Abstract

Each element on the periodic table has its own unique peak spectrum in LIBS analysis. Therefore, the chemical composition of a sample can be determined by identifying the wavelength of each peak from the analyzed sample. This has been a common sample identification method. However, due to various measurement conditions and environments, this peak search with database reference is a very tedious task. In this study, we propose a new method of analyzing LIBS spectra using only standard samples and no database reference or peak wavelength search, based on a machine learning method.

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