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Soil, land care and environmental research
RESEARCH ARTICLE

Relationship between elemental content determined via portable X-ray fluorescence spectrometry and traditional acid-digestion-based methods in tropical soils

Alvaro José Gomes de Faria https://orcid.org/0000-0002-2817-5908 A , Sérgio Henrique Godinho Silva A , Leônidas Carrijo Azevedo Melo https://orcid.org/0000-0002-4034-4209 A , Lívia Botelho A , Luiz Roberto Guimarães Guilherme A and Nilton Curi https://orcid.org/0000-0002-2604-0866 A *
+ Author Affiliations
- Author Affiliations

A Department of Soil Science, Federal University of Lavras – UFLA, Doutor Sylvio Menicucci Avenue, Lavras, Minas Gerais State 37200-900, Brazil.

* Correspondence to: niltcuri@ufla.br

Handling Editor: Mary Beth Kirkham

Soil Research 60(7) 661-677 https://doi.org/10.1071/SR21272
Submitted: 30 October 2021  Accepted: 12 January 2022   Published: 10 February 2022

© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Context: Studies comparing the elemental contents obtained via portable X-ray fluorescence (pXRF) spectrometry under different scanning conditions and traditional time-consuming concentrated acid-digestion-based methods are rare in tropical soils.

Aims: (1) To compare the contents of Al, Ca, Cu, Fe, K, Mn, Zn, Cr, Ni, Ti, V and Zr obtained by pXRF with the results of the USEPA 3051a method; and (2) to evaluate the impacts of different conditions on the pXRF results.

Methods: Soil samples were analysed with pXRF under five conditions: field (F), post-field (PF), air-dried fine earth (ADFE, <2 mm), macerated (M), and macerated and sieved (MS, <150 μm). Linear regressions were adjusted between the USEPA 3051a and pXRF results for the five conditions. Coefficient of determination (R2), root-mean-square error (RMSE), and residual prediction deviation (RPD) were used as validation parameters for the models.

Key results: The different scanning conditions provided contrasting results for the total elemental contents via pXRF. The validation generated good models, as indicated by the condition, R2, and RPD values, and the results were, respectively: Ca (M; 0.88; 3.00), Cu (F; 0.91; 3.29), Fe (ADFE; 0.94; 4.14), Mn (F; 0.85; 2.65), Cr (ADFE; 0.86; 2.77), and Ni (ADFE and M; 0.74 for both; 2.10 and 2.08).

Conclusions: PXRF can accurately determine the contents of Ca, Cu, Fe, Mn, Cr and Ni in tropical soils compared with the 3051a method.

Implications: Results of the USEPA 3051a method can be accurately predicted via pXRF and regression models, reducing time, cost and work required.

Keywords: chemical attributes modelling, environmentally-friendly method, geochemistry, ICP atomic emission spectroscopy, linear regression, pedology, proximal sensors, USEPA 3051a.


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