One-point calibration and matrix-matching concept for quantification of potentially toxic elements in wood by LA-ICP-MS.

Danielle da Silva Francischini, Marco Aurélio Zezzi Arruda

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Article in Analytical and bioanalytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

2 authors.

Danielle da Silva FrancischiniSpectrometry, Sample Preparation and Mechanization Group (GEPAM), Institute of Chemistry, University of Campinas, PO Box 6154, Campinas, SP, 13083-970, Brazil.

Marco Aurélio Zezzi ArrudaSpectrometry, Sample Preparation and Mechanization Group (GEPAM), Institute of Chemistry, University of Campinas, PO Box 6154, Campinas, SP, 13083-970, Brazil. zezzi@unicamp.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 303231/2020-3Fundação de Amparo à Pesquisa do Estado de São Paulo 2014/50867-3Fundação de Amparo à Pesquisa do Estado de São Paulo 2017/50085-3Fundação de Amparo à Pesquisa do Estado de São Paulo 2018/25207-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2019/000

6 · The paper itself

Abstract

The aim of this work is to evaluate two quantitative methods, based on the external calibration applied in laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) analysis, known as (i) analytical curve and (ii) one-point calibration, using the concept of matrix matching to quantify three potentially toxic elements (PTEs) in wood samples. These can biologically register changes in the abiotic environment and be applied to monitoring climate change or environmental toxicity. In this case, standard sample preparation was evaluated to prepare the standard pellets using Pinus taeda species as a matrix-matching concept. Six pellets of P. taeda, with different Pb, Cd, and Ba concentrations, were prepared to build the analytical curve and one-point calibration strategies. The LA-ICP-MS parameters were optimised for

Indexed as

Analytical curveLA-ICP-MSMatrix-matchingOne-pointQuantitative analysisWood

Identifiers

PMID37924375

DOI10.1016/j.sab.2019.105709

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.