Evidence map›Paper›PMID 41970918›Full record

ArticleACS omega2026

Suspect Screening for PFAS in Groundwater with an Accessible LC-MS Workflow.

Bianca F da Silva, Kya N Bruckner, Sonia C N Queiroz, Carla B G Bottoli, Jon Chorover, Leif Abrell

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Bianca F da SilvaInstitute of Chemistry, National Institute of Science and Technology of Bioanalytics Lauro Kubota, Universidade Estadual de Campinas, Cidade Universitária Zeferino Vaz, 13083-970 Campinas, SP, Brazil.
Kya N BrucknerDepartment of Environmental Science, The University of Arizona, 85721 Tucson, AZ, United States.
Sonia C N QueirozLaboratório de Resíduos e Contaminantes, Embrapa Meio Ambiente, Rodovia SP 340, km 127.5, 13918-110 Jaguariúna, SP, Brazil.ORCID https://orcid.org/0000-0002-1725-183X
Carla B G BottoliInstitute of Chemistry, National Institute of Science and Technology of Bioanalytics Lauro Kubota, Universidade Estadual de Campinas, Cidade Universitária Zeferino Vaz, 13083-970 Campinas, SP, Brazil.ORCID https://orcid.org/0000-0001-5605-6976
Jon ChoroverDepartment of Environmental Science, The University of Arizona, 85721 Tucson, AZ, United States.
Leif AbrellDepartment of Environmental Science, The University of Arizona, 85721 Tucson, AZ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Groundwater in North America is contaminated with per- and polyfluoroalkyl substances (PFAS) at more than 9500 locations. A major source of this contamination is aqueous film-forming foam (AFFF), widely used for fire suppression at military facilities and airfields. Many of the thousands of PFAS remain poorly characterized and are not amenable to targeted quantitative analytical methods, which allow them to remain undetected. Suspect screening, an analytical strategy that searches for potential or likely compounds from a predefined list without requiring analytical reference standards, combined with liquid chromatography-high resolution tandem mass spectrometry (LC-HRMS/MS), has emerged as an alternative or complementary approach to classical targeted analysis. Herein, an accessible suspect screening workflow was developed using data-dependent acquisitions and the NIST suspect list of 4712 PFAS, processed with TraceFinder software, followed by FreeStyle MS

Identifiers

PMID41970918
PMCPMC13063162

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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.