Rapid and Accurate ED-XRF Quantification of Trace Arsenic in Rice-Based Foods Employing ANNs to Resolve Lead Spectral Interference.
Carroll M; Gao Z; He L · 2026 · Foods (Basel, Switzerland)
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Abstract (excerpt)
Trace quantifications of arsenic (As) in foods by energy-dispersive X-ray fluorescence (ED-XRF) spectrometry are hindered by spectral overlap from lead (Pb) at characteristic emission lines. This study employed artificial neural networks…
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Metadata source: Europe PMC · DOI 10.3390/foods15071130