Advancements in machine learning, deep learning, and data fusion techniques for XRF spectrometry in heavy metal detection: a critical review

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Authors: Ahmed A. Al-Tameemi, Fusheng Li, Zenan Xiao, Ghalib Raza
Cited by: 5
References: 167

Abstract

X-ray fluorescence (XRF) spectroscopy is a widely used, non-destructive technique for rapid and cost-effective elemental analysis of soils, ores, and alloys.

Fields of Study & Subjects

X-ray Spectroscopy and Fluorescence Analysis Soil Geostatistics and Mapping Laser-induced spectroscopy and plasma

Publication details

Journal / source
Journal of Analytical Atomic Spectrometry
Publisher
Royal Society of Chemistry (RSC)
Volume
41
Issue
4
Pages
1155–1180
Publication date
1 January 2026
Language
EN