Evidence map›Paper›PMID 41253553›Full record

ArticleAnalytical chemistry2025

Multimethod Platform Based on Dynamic Image Analysis and spICP-MS for Number-Based Quantification of Microplastics.

Aneta Sikora, David Ojeda, Dorota Bartczak, Heidi Goenaga-Infante

Abstract read
In one paragraph

Article in Analytical chemistry, 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. Article
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

4 authors.

Aneta SikoraNational Measurement Laboratory, LGC Limited, The Priestley Centre, 10 Priestley Road, Guildford, Surrey GU2 7XY, United Kingdom.ORCID 0000-0003-0285-9313
David OjedaNational Measurement Laboratory, LGC Limited, The Priestley Centre, 10 Priestley Road, Guildford, Surrey GU2 7XY, United Kingdom.ORCID 0009-0006-0235-5616
Dorota BartczakNational Measurement Laboratory, LGC Limited, The Priestley Centre, 10 Priestley Road, Guildford, Surrey GU2 7XY, United Kingdom.ORCID 0000-0002-5440-2924
Heidi Goenaga-InfanteNational Measurement Laboratory, LGC Limited, The Priestley Centre, 10 Priestley Road, Guildford, Surrey GU2 7XY, United Kingdom.ORCID 0000-0002-2416-9666

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A multimethod platform based on the combination of dynamic image analysis (DIA) and single particle inductively coupled plasma mass spectrometry (spICP-MS) has been developed, validated, and applied for the first time to reliably determine the particle number concentration of small microplastics. The ability of the DIA/spICP-MS platform to reliably detect and quantify microplastics was carefully studied using polystyrene (PS) microparticles in the size range from 1 to 10 μm. Critical instrumental parameters affecting the accuracy of the number-concentration measurements were identified for both techniques. In the case of DIA, the detection threshold (DT) was found to be the most important, while for spICP-MS, both the calibration of the transport efficiency (TE) using the frequency method and the choice of sample introduction system were critical. Under optimal conditions, the number-concentration values obtained for 5 μm PS-Latex microspheres using DIA and spICP-MS methodologies agreed well within their associated uncertainty (u,

Identifiers

PMID41253553
PMCPMC12900428

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Registered trials

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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.