Optimising Sample Preparation and Calibrations in EDXRF for Quantitative Soil Analysis

Energy-dispersive X-ray fluorescence spectrometry (EDXRF) is a rapid and inexpensive method for soil analysis; however, analytical results are influenced by particle size effects and spectral interferences. The objective of this study was to optimise sample preparation and calibrations to improve th...

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Main Authors: Maame E. T. Croffie, Paul N. Williams, Owen Fenton, Anna Fenelon, Konrad Metzger, Karen Daly
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/10/9/1309
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author Maame E. T. Croffie
Paul N. Williams
Owen Fenton
Anna Fenelon
Konrad Metzger
Karen Daly
author_facet Maame E. T. Croffie
Paul N. Williams
Owen Fenton
Anna Fenelon
Konrad Metzger
Karen Daly
author_sort Maame E. T. Croffie
collection DOAJ
description Energy-dispersive X-ray fluorescence spectrometry (EDXRF) is a rapid and inexpensive method for soil analysis; however, analytical results are influenced by particle size effects and spectral interferences. The objective of this study was to optimise sample preparation and calibrations to improve the accuracy of EDXRF for soil tests. Methods of sample preparation were compared by calculating the recoveries of 13 elements in four International Soil-Analytical Exchange (ISE) standards prepared as loose powder (LP), pressed pellet (PP), and pressed pellet with wax binder (PPB). A matching library (ML) was created and evaluated against the fundamental parameters (FP) calibration using 20 ISE standards. Additionally, EDXRF results of 41 tillage soils were compared with Inductively coupled plasma optical emission spectrometry (ICP-OES) results. The PPB had most recoveries within the acceptable range of 80–120%; conversely, PP yielded the poorest element recoveries. For the calibration, the ML provided better recoveries of Ni, Pb, Cu, Mg, S, P, and Cr; however, for Zn, and Mn, it had the opposite effect. Furthermore, EDXRF results compared with ICP-OES separated by soil texture class for Al, K, Mn, and Fe. In conclusion, the EDXRF is suitable for quantifying both trace elements and macronutrients in contaminated soils and has the potential to provide screening or prediction of soil texture in agriculture.
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spelling doaj.art-4b9cd64d26f547c79bd6d20898c809d12023-11-20T12:22:10ZengMDPI AGAgronomy2073-43952020-09-01109130910.3390/agronomy10091309Optimising Sample Preparation and Calibrations in EDXRF for Quantitative Soil AnalysisMaame E. T. Croffie0Paul N. Williams1Owen Fenton2Anna Fenelon3Konrad Metzger4Karen Daly5Institute for Global Food Security, School of Biological Sciences, Queen’s University Belfast, Belfast BT9 5DL, UKInstitute for Global Food Security, School of Biological Sciences, Queen’s University Belfast, Belfast BT9 5DL, UKEnvironment, Soils and Land Use Department, Teagasc Johnstown Castle Research Centre, Y35 TC97 Wexford, IrelandEnvironment, Soils and Land Use Department, Teagasc Johnstown Castle Research Centre, Y35 TC97 Wexford, IrelandEnvironment, Soils and Land Use Department, Teagasc Johnstown Castle Research Centre, Y35 TC97 Wexford, IrelandEnvironment, Soils and Land Use Department, Teagasc Johnstown Castle Research Centre, Y35 TC97 Wexford, IrelandEnergy-dispersive X-ray fluorescence spectrometry (EDXRF) is a rapid and inexpensive method for soil analysis; however, analytical results are influenced by particle size effects and spectral interferences. The objective of this study was to optimise sample preparation and calibrations to improve the accuracy of EDXRF for soil tests. Methods of sample preparation were compared by calculating the recoveries of 13 elements in four International Soil-Analytical Exchange (ISE) standards prepared as loose powder (LP), pressed pellet (PP), and pressed pellet with wax binder (PPB). A matching library (ML) was created and evaluated against the fundamental parameters (FP) calibration using 20 ISE standards. Additionally, EDXRF results of 41 tillage soils were compared with Inductively coupled plasma optical emission spectrometry (ICP-OES) results. The PPB had most recoveries within the acceptable range of 80–120%; conversely, PP yielded the poorest element recoveries. For the calibration, the ML provided better recoveries of Ni, Pb, Cu, Mg, S, P, and Cr; however, for Zn, and Mn, it had the opposite effect. Furthermore, EDXRF results compared with ICP-OES separated by soil texture class for Al, K, Mn, and Fe. In conclusion, the EDXRF is suitable for quantifying both trace elements and macronutrients in contaminated soils and has the potential to provide screening or prediction of soil texture in agriculture.https://www.mdpi.com/2073-4395/10/9/1309calibrationelemental analysissoilspectrometryX-Ray fluorescence
spellingShingle Maame E. T. Croffie
Paul N. Williams
Owen Fenton
Anna Fenelon
Konrad Metzger
Karen Daly
Optimising Sample Preparation and Calibrations in EDXRF for Quantitative Soil Analysis
Agronomy
calibration
elemental analysis
soil
spectrometry
X-Ray fluorescence
title Optimising Sample Preparation and Calibrations in EDXRF for Quantitative Soil Analysis
title_full Optimising Sample Preparation and Calibrations in EDXRF for Quantitative Soil Analysis
title_fullStr Optimising Sample Preparation and Calibrations in EDXRF for Quantitative Soil Analysis
title_full_unstemmed Optimising Sample Preparation and Calibrations in EDXRF for Quantitative Soil Analysis
title_short Optimising Sample Preparation and Calibrations in EDXRF for Quantitative Soil Analysis
title_sort optimising sample preparation and calibrations in edxrf for quantitative soil analysis
topic calibration
elemental analysis
soil
spectrometry
X-Ray fluorescence
url https://www.mdpi.com/2073-4395/10/9/1309
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