Mineral Phase-Resolved Quantification in LA-ICP-MS Imaging

Laser Ablation-Inductively Coupled Plasma-Mass Spectrometry (LA-ICP-MS), particularly in its time-of-flight (TOF) configuration, enables rapid, high-resolution elemental imaging across complex geological materials, offering spatial and chemical insights at the micrometer scale. However, quantitative accuracy is often limited in fine-grained or mineralogically heterogeneous matrices due to the failure of global normalization strategies, such as 100 wt % oxide assumptions, to account for mixed-phase compositions. Here, we present a workflow that leverages Uniform Manifold Approximation and Projection (UMAP) for unsupervised dimensionality reduction and <i>k</i>-means clustering to segment mineralogical phases directly from per-pixel elemental concentration maps. Cluster compositions are matched to known minerals based on stoichiometric similarity, enabling pixel-wise, phase-specific normalization (e.g., oxides vs carbonates). Validated with dawsonite-bearing sandstones from Mt. Amiata, Italy, this approach significantly reduces quantification errors, correcting systematic over- or underestimations of up to 60%. The method also enables a consistent, phase-resolved geochemical comparison across depth profiles. This study establishes UMAP not only as an exploratory tool but also as a practical guideline for accurate and interpretable quantification in multielemental imaging.

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Publication Details

Journal
Analytical Chemistry
Published
2025-12-17
DOI
https://doi.org/10.1021/acs.analchem.5c05398
Primary Topic
Laser-induced spectroscopy and plasma
Type
article
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article

Mineral Phase-Resolved Quantification in LA-ICP-MS Imaging

Paolo Garofalo, Detlef Günther, Jakub Buday, Jozef Kaiser et al.
Analytical Chemistry
Laser-induced spectroscopy and plasma
article

Mineral Phase-Resolved Quantification in LA-ICP-MS Imaging

Paolo Garofalo, Detlef Günther, Jakub Buday, Jozef Kaiser, Pavel Pořízka, Barbara Umfahrer
article en

Abstract

Laser Ablation-Inductively Coupled Plasma-Mass Spectrometry (LA-ICP-MS), particularly in its time-of-flight (TOF) configuration, enables rapid, high-resolution elemental imaging across complex geological materials, offering spatial and chemical insights at the micrometer scale. However, quantitative accuracy is often limited in fine-grained or mineralogically heterogeneous matrices due to the failure of global normalization strategies, such as 100 wt % oxide assumptions, to account for mixed-phase compositions. Here, we present a workflow that leverages Uniform Manifold Approximation and Projection (UMAP) for unsupervised dimensionality reduction and <i>k</i>-means clustering to segment mineralogical phases directly from per-pixel elemental concentration maps. Cluster compositions are matched to known minerals based on stoichiometric similarity, enabling pixel-wise, phase-specific normalization (e.g., oxides vs carbonates). Validated with dawsonite-bearing sandstones from Mt. Amiata, Italy, this approach significantly reduces quantification errors, correcting systematic over- or underestimations of up to 60%. The method also enables a consistent, phase-resolved geochemical comparison across depth profiles. This study establishes UMAP not only as an exploratory tool but also as a practical guideline for accurate and interpretable quantification in multielemental imaging.

Analytical ChemistryVol. 98(1)
Central European Institute of Technology (CZ), ETH Zurich (CH), Bologna Research Area (IT), University of Bologna (IT)
Openalex Percentile: Top 55%
Laser-induced spectroscopy and plasma
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