Quantitative Analysis of LIBS Reduces the Matrix Effect Methods

Abstract

This paper introduced the principle about the technology of Laser-induced Breakdown Spectroscopy (LIBS) of quantitative analysis. It was reviewed about the quantitative analysis of LIBS reduced method of matrix. The reason of cause matrix effect was not clear, but the matrix effect on the LIBS quantitative analysis of the impact can not be ignored. The LIBS quantitative analysis method was divided into two categories: one was based on the calibration curve with the mathematical matrix correction method; the other was combined with neural network reduction method of matrix. This paper was introduced for the two categories of methods, and gives an example to explain.

A strategy to significantly improve the classification accuracy of LIBS data: application for the determination of heavy metals in Tegillarca granosa

“…Unfortunately, the characteristic lines of the heavy metal pollution elements Pb, Zn and Cd could not be identified in the spectral profiles. The possible reasons are the matrix effect [34] and self-absorption [35], which lead to disturbance, absorption and disappearance of these excitement lines in Tegillarca granosa. Thus, it was difficult to distinguish different groups only by visual observation on the LIBS profile, and suitable machine learning methods should be performed to further utilize the LIBS data.…”

Quantificação multielementar em solos utilizando LIBS: estudo com o primeiro e segundo harmônico de lasers de Nd: Yag

“…Contudo a análise da concentração de um elemento para algumas amostras aindaé um desafio, como no caso do solo, onde os efeitos de matriz dificultam a obtenção de uma boa curva de calibração. (31)(32) A análise da composição elementar do solo com LIBSé vastamente estudada (24) através de análises qualitativas (33)(34), semiquantitativas (35)(36) e quantitativas. (37)(38) Para descrever a concentração elementar do solo são empregados tanto modelos univariados (26) quanto multivariados (39)(40)(41)(42)(43), visto que diversos efeitos podem inviabilizar o uso de modelos univariados, como efeitos de matriz, interferência de picos de outros elementos e autoabsorção.…”