Enhanced Environmental PFAS Characterization Using a Virtual High-Resolution Mass Spectral Library Generated by Transfer Learning-Based Neural Network.

Yi-Chi Chen, Hsin-Yi Wu, Man-Ni Zhuang, Chen-Ming Yi, Wei-Sheng Wu, Pao-Chi Liao

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

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0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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.

2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yi-Chi ChenDepartment of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan.ORCID 0009-0006-0076-1901

Hsin-Yi WuInstrumentation Center, National Taiwan University, Taipei 106, Taiwan.ORCID 0000-0003-0722-0201

Man-Ni ZhuangDepartment of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan.ORCID 0009-0002-9042-5768

Chen-Ming YiInstitute of Computer and Communication Engineering, National Cheng Kung University, Tainan 701, Taiwan.

Wei-Sheng WuDepartment of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan.ORCID 0000-0002-9919-9579

Pao-Chi LiaoDepartment of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan.ORCID 0000-0001-8510-9870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Per- and polyfluoroalkyl substances (PFAS) represent a critical class of persistent environmental contaminants with significant ecological and human health implications. However, the rapid emergence of novel PFAS has far outpaced the development of reference mass spectral databases. Here, Neural Per- and Polyfluoroalkyl Substances Mass Spectrometry (NPFAS-MS), a transfer learning-based neural network model, was developed to predict PFAS-specific high-resolution mass spectra. NPFAS-MS was fine-tuned from a pretrained model using PFAS tandem mass (MS/MS) spectra. NPFAS-MS outperformed other

Indexed as

Neural Networks, ComputerFluorocarbonsMass SpectrometryTransfer Machine LearningFluorocarbonsartificial neural networkhigh-resolution mass spectrometrymass spectral libraryPFAStransfer learning

Identifiers

PMID42267799

DOI10.1021/acs.est.6c05733

PMCPMC13296486

What Socratic holds

Textmetadata

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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 Socratic graph.