ArticleScience advances2026
Uncovering PFAS and halogenated chemicals using nontargeted analysis and the PFAS IMplementer for mass spectrometry (PIMMS).
Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Per- and polyfluoroalkyl substances (PFASs) are synthetic chemicals of considerable epidemiological concern. While targeted liquid chromatography (LC)-tandem mass spectrometry (MS/MS) methods are established for legacy PFAS, emerging replacement compounds require nontargeted analysis (NTA) for comprehensive characterization. However, NTA of complex biological matrices like human serum is analytically challenging because of the presence of many endogenous interferences and unknown PFAS molecules. To address this, ion mobility spectrometry has been coupled with LC and MS (LC-IMS-MS). This approach provides orthogonal separation via collision cross section to resolve isobars and filter noise. Despite its utility, current software lacks efficient PFAS feature prioritization, requiring extensive manual curation. We developed the PFAS IMplementer for Mass Spectrometry (PIMMS), a vendor-neutral, open-source tool that uses advanced filtering and scoring algorithms for rapid LC-IMS-MS data analysis. The potential utility of PIMMS was demonstrated using serum from bovine and human populations. PIMMS could identify both legacy and novel PFAS in addition to eight halogenoalkane xenobiotics (containing bromine, chlorine, and iodine). Of note, these halogenoalkane species were often only singly or doubly halogenated and were still effectively prioritized by PIMMS demonstrating the potential to identify a potentially growing number of novel compounds with only a single degree of halogenation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.