Evidence map›Paper›PMID 40910698›Full record

ArticleAnalytical chemistry2025

Extending the Linear Dynamic Range of Single Particle ICP-MS for the Quantification of Microplastics.

George C Caceres, Monique E Johnson, John L Molloy, Sang Bok Lee, Antonio R Montoro Bustos

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

George C CaceresChemical Sciences Division, Material Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899-1070, United States.
Monique E JohnsonChemical Sciences Division, Material Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899-1070, United States.ORCID 0000-0001-5096-2003
John L MolloyChemical Sciences Division, Material Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899-1070, United States.
Sang Bok LeeDepartment of Chemistry and Biochemistry, University of Maryland, College Park, Maryland 20742, United States.ORCID 0000-0003-1375-7099
Antonio R Montoro BustosChemical Sciences Division, Material Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899-1070, United States.ORCID 0000-0001-5945-2333

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In response to the growing concern of microplastics (1 μm to 5 mm) accumulation affecting human health, the development of analytical methods continues to be critical for the detection and characterization of microplastic particles. In this context, pursuing exceptional particle detection capability down to practical low levels and rapid analyses with high sample throughput makes single particle inductively coupled plasma mass spectrometry (spICP-MS) very attractive for microplastics analysis. Existing spICP-MS-based studies have routinely shown limitations in the accurate sizing and quantification of particle number concentration through targeting carbon content, with reported size limits of detection in the range of 0.62 to 1.8 μm and a substantial reduction in the transport of particles larger than 3 μm. In this work, the linear dynamic range of spICP-MS for the accurate quantification of polystyrene microparticles (PS MPs) via the monitoring of their carbon content (

Identifiers

PMID40910698
PMCPMC12444753

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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.