Phosphorus quantification in fertilizers using laser induced breakdown spectroscopy (LIBS): a methodology of analysis to correct physical matrix effects-Reference-Cited by-同舟云学术

Phosphorus quantification in fertilizers using laser induced breakdown spectroscopy (LIBS): a methodology of analysis to correct physical matrix effects

Published:2016 Issue:1 Volume:8 Page:78-82
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Marangoni Bruno S.¹²³⁴,Silva Kleydson S. G.⁵³⁴,Nicolodelli Gustavo⁵³⁴,Senesi Giorgio S.⁶⁷⁸,Cabral Jader S.⁹¹⁰¹¹⁴,Villas-Boas Paulino R.⁵³⁴,Silva Caroline S.¹²³⁴,Teixeira P. C.¹³¹⁴⁴,Nogueira Ana Rita A.¹²³⁴,Benites Vinicius M.¹³¹⁴⁴,Milori Débora M. B. P.⁵³⁴

Affiliation:

1. Departamento de Física

2. Universidade Federal de São Carlos

3. São Carlos

4. Brazil

5. Embrapa Instrumentação

6. Institute of Inorganic Methodologies and Plasmas-CNR-Bari

7. 70126 Bari

8. Italy

9. Instituto de Física

10. Universidade Federal de Uberlândia

11. 38400-902 Uberlândia

12. Embrapa Pecuária Sudeste

13. Embrapa Solos

14. Rio de Janeiro

Abstract

P analysis in fertilizers using LIBS.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2016/AY/C5AY01615K

Reference20 articles.

1. R. W. Scholz , A. H.Roy, F. S.Brand, D. T.Hellums and A. E.Ulrich, Sustainable Phosphorus Management: A Global Transdisciplinary Roadmap, Springer Netherlands, 2013

2. Laser-Induced Breakdown Spectroscopy (LIBS), Part II: Review of Instrumental and Methodological Approaches to Material Analysis and Applications to Different Fields

3. Quantification of total carbon in soil using laser-induced breakdown spectroscopy: a method to correct interference lines

4. Elemental analysis of fertilizer using laser induced breakdown spectroscopy

5. Multi-elemental analysis of fertilizer using laser-induced breakdown spectroscopy coupled with partial least squares regression

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