Should we prefer inverse models in quantitative LIBS analysis?-Reference-Cited by-同舟云学术

Should we prefer inverse models in quantitative LIBS analysis?

Published:2020 Issue:4 Volume:35 Page:794-803
ISSN:0267-9477
Container-title:Journal of Analytical Atomic Spectrometry
language:en
Short-container-title:J. Anal. At. Spectrom.

Author:

Duponchel Ludovic¹²³⁴⁵^ORCID,Bousquet Bruno⁶⁷⁸⁹⁵,Pelascini Frédéric¹⁰¹¹⁵,Motto-Ros Vincent¹²¹³¹⁴¹⁵⁵^ORCID

Affiliation:

1. Université de Lille

2. CNRS

3. UMR 8516 – LASIRE – Laboratoire de Spectrochimie Infrarouge et Raman

4. F-59655 Villeneuve d'Ascq

5. France

6. CELIA

7. UMR CNRS 5107

8. Université Bordeaux

9. Talence Cedex

10. Cetim Grand Est

11. Illkirch-Graffenstaden

12. Institut Lumière Matière UMR 5306

13. Université Lyon 1 – CNRS

14. Université de Lyon

15. 69622 Villeurbanne

Abstract

The simple linear regression is one of the oldest statistical tools to predict a concentration from a measured signal. However, do we use the right independent and dependent variables in LIBS?

Publisher

Royal Society of Chemistry (RSC)

Subject

Spectroscopy,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/JA/C9JA00435A

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