ArticleNature communications2025
Two-layer homolog network approach for PFAS nontarget screening and retrospective data mining.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed.
- Understanding the Defluorination Mechanism of Per- and Polyfluoroalkyl Substances in Wastewater: From Microscopic Process to Practical Application.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- Enhanced Environmental PFAS Characterization Using a Virtual High-Resolution Mass Spectral Library Generated by Transfer Learning-Based Neural Network.Environmental science & technology · 2026Article
- Non-targeted screening of per- and polyfluoroalkyl substances: Advanced methods, challenges, and environmental health.Eco-Environment & Health · 2026Review
- High-Throughput Small-Scale Platform for Synthesis, Characterization, and Modeling of Per- and Polyfluoroalkyl Substances Analogs.Environmental science & technology letters · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The rapid increase of novel per- and polyfluoroalkyl substances (PFAS) raises concerns, while their identification remains challenging. Here, we develop a two-layer homolog network approach for PFAS nontarget screening using mass spectrometry. The first layer constructs networks between homologs, with evaluation showing that it filters 94% of false candidates. The second layer builds a network between classes to expedite the identification of PFAS. We detected 94 PFAS in twelve waterproof products and two related industrial sludges, including 36 novel PFAS not previously reported in any sample. A local dataset is constructed for retrospective analysis by re-analyzing our previous samples, revealing fifteen novel PFAS in samples collected in 2005. The retrieval of the public database MassIVE uncovers novel PFAS in samples from seven countries. Here, we reveal the historic and global presence of novel PFAS, providing guidance for the management and policy-making concerning persistent chemicals.
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Registered trials
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