Good practices in LIBS analysis: Review and advices

被引：265

作者：

El Haddad, J. ^{[1
]}

Canioni, L. ^{[1
]}

Bousquet, B. ^{[1
]}

机构：

[1] Univ Bordeaux, LOMA, CNRS UMR 5798, F-33400 Talence, France

来源：

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY | 2014年 / 101卷

关键词：

Laser-induced breakdown spectroscopy (LIBS); Classification; Concentration measurement; Assessment; Good practices; INDUCED BREAKDOWN SPECTROSCOPY; PARTIAL LEAST-SQUARES; SITE QUANTITATIVE-ANALYSIS; VARIABLE SELECTION; NEURAL-NETWORKS; MULTIVARIATE-ANALYSIS; POLLUTED SOILS; CLASSIFICATION; IDENTIFICATION; SPECTROMETRY;

D O I：

10.1016/j.sab.2014.08.039

中图分类号：

O433 [光谱学];

学科分类号：

0703 ; 070302 ;

摘要：

This paper presents a review on the analytical results obtained by laser-induced breakdown spectroscopy (LIBS). In the first part, results on identification and classification of samples are presented including the risk of misclassification, and in the second part, results on concentration measurement based on calibration are accompanied with significant figures of merit including the concept of accuracy. Both univariate and multivariate approaches are discussed with special emphasis on the methodology, the way of presenting the results and the assessment of the methods. Finally, good practices are proposed for both classification and concentration measurement. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：171 / 182

页数：12

共 110 条

[1] Progress towards an unassisted element identification from Laser Induced Breakdown Spectra with automatic ranking techniques inspired by text retrieval [J].