Contents

Spatial Toxicant–Modality Concordance for Environmental Mass Spectrometry Imaging: A Class-Resolved Instrument-Selection Method for Pollutant Mapping

Author(s): Walter Giger1
1Giger Research Consulting, 8049 Zürich, Switzerland
Walter Giger
Giger Research Consulting, 8049 Zürich, Switzerland

Abstract

Environmental toxicology requires spatially resolved chemical evidence because contaminants are retained, transformed and expressed unevenly across tissues, roots, biofilms, sediment interfaces and particle-contact zones. Mass spectrometry imaging (MSI) can provide this evidence only when the ionization modality matches the contaminant class, the spatial scale of interest and the chemical claim being made. This study defines Spatial Toxicant–Modality Concordance (STMC), a class-resolved analytical method for selecting primary and confirmatory MSI platforms for organic, inorganic and particulate pollutants. The calculation uses five instrument routes–MALDI, LDI, SIMS, DESI and LA-ICP-MS–and nine pollutant subclasses: pharmaceutically active compounds, plastic additives, industrial chemicals, personal care products, pesticides, heavy metals, micro- and nanoplastics, particulate matter and engineered nanoparticles. Five modality attributes are scored: spatial granularity, molecular compatibility, quantitative confidence, operational simplicity and contaminant-class concordance. The resulting class scores identify a clear modality switch: MALDI ranks first for organic pollutants at 0.80, LA-ICP-MS ranks first for heavy metals at 0.83, and SIMS ranks first for particulate pollutants at 0.86. LDI provides a matrix-free route for selected surface and low-mass organic questions, whereas DESI is best used for rapid ambient screening. STMC strengthens environmental analytical chemistry by tying pollutant images to the specific molecular, elemental or fragment evidence that each platform can support.

Keywords: analytical chemistry; environmental toxicology; mass spectrometry imaging; MSI instrumentation; MALDI; SIMS; LA-ICP-MS; pollutant localization; microplastics; trace metals
Copyright © 2025 Walter Giger. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.