Twelve different types of data normalization for the proposition of classification, univariate and multivariate regression models for the direct analyses of alloys by laser-induced breakdown spectroscopy (LIBS)-Reference-Cited by-同舟云学术

Twelve different types of data normalization for the proposition of classification, univariate and multivariate regression models for the direct analyses of alloys by laser-induced breakdown spectroscopy (LIBS)

Published:2016 Issue:10 Volume:31 Page:2005-2014
ISSN:0267-9477
Container-title:Journal of Analytical Atomic Spectrometry
language:en
Short-container-title:J. Anal. At. Spectrom.

Author:

Castro Jeyne Pricylla¹²³⁴⁵^ORCID,Pereira-Filho Edenir Rodrigues¹²³⁴⁵

Affiliation:

1. Group of Applied Instrumental Analysis

2. Chemistry Department

3. Federal University of São Carlos

4. São Carlos

5. Brazil

Abstract

Emission signal normalization in LIBS for the direct analysis of metal samples aiming at the determination of 10 analytes (Al, Cr, Cu, Fe, Mn, Mo, Ni, Ti, V and Zn).

Funder

São Paulo Research Foundation

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Royal Society of Chemistry (RSC)

Subject

Spectroscopy,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2016/JA/C6JA00224B

Reference36 articles.

1. Laser Induced Breakdown Spectroscopy

2. D. A. Cremers and L. J.Radziemski, Handbook of Laser-Induced Breakdown Spectroscopy, John Wiley & Sons, Chichester, 2013