Evidence map›Paper›PMID 40950711›Full record

ArticleJournal of analytical atomic spectrometry2025

Assessing the impact of common sample preparation strategies for single particle ICP-MS regarding recovery and size distribution of natural single particles.

Lhiam Paton, Sandra Kiesel, Grit Steinhoefel, Matthias Elinkmann, Thebny Thaise Moro, Raquel Gonzalez de Vega, Pascal Bohleber, David Clases

Abstract read
In one paragraph

Article in Journal of analytical atomic spectrometry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Lhiam PatonTrace Element Speciation Laboratory (TESLA), Institute for Analytical Chemistry, University of Graz 8010 Graz Austria lhiam.paton@uni-graz.at.ORCID https://orcid.org/0000-0002-4737-8903
Sandra KieselTrace Element Speciation Laboratory (TESLA), Institute for Analytical Chemistry, University of Graz 8010 Graz Austria lhiam.paton@uni-graz.at.
Grit SteinhoefelAlfred Wegener Institute Helmholtz Centre for Polar and Marine Research 27570 Bremerhaven Germany.
Matthias ElinkmannNanoMicroLab, Institute for Analytical Chemistry, University of Graz 8010 Graz Austria.ORCID https://orcid.org/0000-0002-6047-377X
Thebny Thaise MoroNanoMicroLab, Institute for Analytical Chemistry, University of Graz 8010 Graz Austria.ORCID https://orcid.org/0000-0002-6087-4311
Raquel Gonzalez de VegaTrace Element Speciation Laboratory (TESLA), Institute for Analytical Chemistry, University of Graz 8010 Graz Austria lhiam.paton@uni-graz.at.ORCID https://orcid.org/0000-0002-9806-9633
Pascal BohleberAlfred Wegener Institute Helmholtz Centre for Polar and Marine Research 27570 Bremerhaven Germany.
David ClasesNanoMicroLab, Institute for Analytical Chemistry, University of Graz 8010 Graz Austria.ORCID https://orcid.org/0000-0003-3880-9385

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Particles on the nano- and micro-scale are produced in a wide range of natural and anthropogenic processes and play a significant role in the biogeochemical cycling of major and trace elements in the environment. Single particle inductively coupled plasma - mass spectrometry (SP ICP-MS) is quickly becoming one of the premier techniques for analysis of nano- or micro-entities. However, SP ICP-MS analysis requires dilute aqueous solutions, free from large particles that could cause blockages. For environmentally relevant samples, like soil extracts, this typically calls for sample clean up. Sample preparation strategies like syringe filtration or ultra-centrifugation are regularly applied to handle complex matrices. The aim of this article is to examine the influence of common preparative strategies on the analysis of both naturally formed and synthetic nanoparticles in complex matrices. To achieve this, water extracts of mineral and sediment standards were spiked with Au nanoparticles and a variety of chemical and physical approaches were investigated to identify which strategies provide the best route to accurately quantifying particle numbers, masses and sizes. In a vast majority of cases, at least 90% of the detectable particles were lost for both particle types whenever filtration or centrifugation was applied. The addition of surfactants like Triton X-100 proved to promote relative particle recoveries of up to 30% for spiked Au particles but the extracted Fe-containing particles continued to have losses of up to 99%. Therefore, common sample preparation strategies are directly impeding the possibilities for quantitative particle analysis by SP ICP-MS. Furthermore, commonly used nanoparticles like Au do not necessarily reflect the reality of nano- and microparticles found in the environment. It is apparent that for SP ICP-MS to become a useful, quantitative method for environmental analysis there must be a high degree of care taken in the collection and preparation stages of analysis.

Identifiers

PMID40950711
PMCPMC12426992

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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.