A novel approach for monitoring the spatial distribution and quantitative analysis of micronutrients in plant tissues using laser ablation ICP-MS imaging

Abstract Quantitative imaging of plant tissues by laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) is hindered by the lack of matrix-matched calibration standards. Established approaches, such as gelatine or homogenised tissue blocks, do not replicate plant matrices accurately. Here, we introduce a nano-dispenser-based calibration strategy that deposits nanolitre volumes of elemental standards directly onto paraffin-embedded grain sections, exploiting the low endogenous metal content of the endosperm to generate in situ calibration curves. Calibration performance for Mg, Mn, Cu, Zn, and Mo was assessed using LA-ICP-MS imaging and Iolite 4 data processing. The method demonstrated excellent linearity ( R 2 > 0.98), reproducibility across multiple grains, and sub-ppm limits of detection. Comparative analysis with in-house homogenised blocks and NIST wheat reference material confirmed superior accuracy and reproducibility of the nano-dispenser approach. As a proof-of-concept, we have applied the method for the quantitative imaging of metals in a whole barley grain section, and the results show excellent agreement with published data obtained by conventional liquid-mode ICP MS. The technique reported here provides a robust, scalable, solution for quantitative metallomics studies of plant tissues, enabling improved assessment of nutrient distribution and supporting the development of standardised protocols for LA-ICP-MS imaging.

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Publication Details

Journal
Analytical and Bioanalytical Chemistry
Published
2026-09-08
DOI
https://doi.org/10.1007/s00216-026-06780-z
Primary Topic
Analytical chemistry methods development
Type
article
Field-Weighted Citation Impact
0.00

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article

A novel approach for monitoring the spatial distribution and quantitative analysis of micronutrients in plant tissues using laser ablation ICP-MS imaging

Neil Bricklebank, Mathew G. Lewsey, Nicola Aberdein, Marta Peirats‐Llobet et al.
Analytical and Bioanalytical Chemistry
Analytical chemistry methods development
article

A novel approach for monitoring the spatial distribution and quantitative analysis of micronutrients in plant tissues using laser ablation ICP-MS imaging

Neil Bricklebank, Mathew G. Lewsey, Nicola Aberdein, Marta Peirats‐Llobet, Olivia Doolan
article en

Abstract

Abstract Quantitative imaging of plant tissues by laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) is hindered by the lack of matrix-matched calibration standards. Established approaches, such as gelatine or homogenised tissue blocks, do not replicate plant matrices accurately. Here, we introduce a nano-dispenser-based calibration strategy that deposits nanolitre volumes of elemental standards directly onto paraffin-embedded grain sections, exploiting the low endogenous metal content of the endosperm to generate in situ calibration curves. Calibration performance for Mg, Mn, Cu, Zn, and Mo was assessed using LA-ICP-MS imaging and Iolite 4 data processing. The method demonstrated excellent linearity ( R 2 > 0.98), reproducibility across multiple grains, and sub-ppm limits of detection. Comparative analysis with in-house homogenised blocks and NIST wheat reference material confirmed superior accuracy and reproducibility of the nano-dispenser approach. As a proof-of-concept, we have applied the method for the quantitative imaging of metals in a whole barley grain section, and the results show excellent agreement with published data obtained by conventional liquid-mode ICP MS. The technique reported here provides a robust, scalable, solution for quantitative metallomics studies of plant tissues, enabling improved assessment of nutrient distribution and supporting the development of standardised protocols for LA-ICP-MS imaging.

Analytical and Bioanalytical Chemistry
Australian Research Council (AU), La Trobe University (AU), Sheffield Hallam University (GB)
La Trobe University
Zero hunger
Openalex Percentile: Top 15%
Analytical chemistry methods development
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