Quantitative analysis of selenium and mercury in biological samples using LA-ICP-MS

Abstract

Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) has emerged as a powerful analytical tool to spatially resolve elemental quantification and multi-element bioimaging. This study presents a comprehensive methodology of LA-ICP-MS for the simultaneous quantification of selenium (Se) and mercury (Hg) in biological matrices, achieving micrometer-scale spatial resolution and maintaining analytical robustness. Critical challenges in Se quantification arising from potential spectral interferences were resolved through collision/reaction cell (CRC) technology optimization and strategic isotope selection (77Se and 82Se), enabling interference-free detection. Notably, this study pioneered the quantitative characterization of polyatomic interferences through interference modeling. Distinct matrix-dependent signal behaviors were observed between organic-rich tissues (e.g., liver) and protein-dominated matrices (e.g., gelatin), underscoring the necessity for matrix-specific calibration strategies. The method demonstrated that both LA-ICP-MS and LA-ICP-MS/MS exhibited high precision (<10% relative bias) in quantifying Se and Hg. Subsequent application to controlled exposure models provided more detailed information on Se/Hg biodistribution patterns. Collectively, this analytical advancement provides a valid method for investigating detoxification dynamics and elemental redistribution mechanisms in organs, particularly when the analysis was integrated with high-resolution mapping of Se–Hg antagonism at sub-organ resolution.

Graphical abstract: Quantitative analysis of selenium and mercury in biological samples using LA-ICP-MS

Supplementary files

Article information

Article type
Paper
Submitted
29 Apr 2025
Accepted
12 Jun 2025
First published
26 Jun 2025

J. Anal. At. Spectrom., 2025, Advance Article

Quantitative analysis of selenium and mercury in biological samples using LA-ICP-MS

Z. Dai, J. Ding, J. He, C. Tu, D. Wang, D. Chen and J. Wang, J. Anal. At. Spectrom., 2025, Advance Article , DOI: 10.1039/D5JA00169B

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