Optimising Sample Preparation and Calibrations in EDXRF for Quantitative Soil Analysis

• Published in: Agronomy (Basel) Vol. 10; no. 9; p. 1309
• Main Authors: Croffie, Maame E. T., Williams, Paul N., Fenton, Owen, Fenelon, Anna, Metzger, Konrad, Daly, Karen
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2020
• Subjects: Aluminum; Archives & records; Calibration; Chromium; Copper; elemental analysis; Inductively coupled plasma; Iron; Laboratories; Libraries; Magnesium; Manganese; Methods; Nickel; Optical emission spectroscopy; Optimization; Reference materials; Sample preparation; Size effects; soil; Soil analysis; Soil contamination; Soil dispersion; Soil pollution; Soil properties; Soil testing; Soil texture; Soils; Spectrometry; Texture; Tillage; Trace elements; X ray fluorescence analysis; X-Ray fluorescence; X-rays; Zinc; Ireland
• DOI: 10.3390/agronomy10091309
• ISSN: 2073-4395

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.