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X-ray Fluorescence Core Scanning for High-Resolution Geochemical Characterisation of Soils
Date Issued
2024-05-17
Date Available
2026-01-22T16:48:49Z
Abstract
X-ray fluorescence (XRF) core scanners are commonly used for fine-scale geochemical analysis in sediment studies, but data are semi-quantitative and require calibration to convert geochemical element counts to concentrations. Application of XRF core scanning in soil science remains largely untapped. This study employed an ITRAX core scanner to scan grassland soil cores and developed a novel calibration method based on a chemometric approach to characterise soil geochemistry. As soil samples are collected based on depth sampling, this study investigated whether higher resolution element concentrations could be inferred from lower resolution reference samples and if regression models from multiple cores could apply to a new core at the same resolution. Reference concentrations were obtained for all cores at 10 cm intervals, with validation conducted at 1 cm for a single core. Two calibration curve types were proposed: one based on the single core’s 10 cm data to validate references at 1 cm intervals; and another using all cores, with each core serving as a test item after exclusion from the training set. Various preprocessing measures and feature selection techniques were tested. Results showed successful calibration for elements Ca, P, Zn, Sr, and S, with high R2 values of 0.94, 0.93, 0.93, 0.92 and 0.91, respectively. The study presents a novel method for calibrating XRF core scanning element counts, demonstrating its potential for high-resolution soil analysis.
Other Sponsorship
Irish Research Council (IRC)
Type of Material
Journal Article
Publisher
MDPI
Journal
Soil Systems
Volume
8
Issue
2
Copyright (Published Version)
2024 the Authors
Language
English
Status of Item
Peer reviewed
ISSN
2571-8789
This item is made available under a Creative Commons License
File(s)
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Name
soilsystems-08-00056.pdf
Size
2.93 MB
Format
Adobe PDF
Checksum (MD5)
745cb4f0b99f7e1ddb97eb92b97d06ac
Owning collection
Mapped collections