Evidence map›Paper›PMID 40919832›Full record

ArticleChemical research in toxicology2025

Ultrasensitive Direct Chemical Analysis of Human Hair Using Proton Transfer Reaction Time-of-Flight Mass Spectrometry (PTR-TOF-MS) for Nontargeted Exposure Profiling.

Anna C Neville, David A Jarma, Daniel C Blomdahl, Chou-Hsien Lin, Kerry A Kinney, Pawel K Misztal

Abstract read
In one paragraph

Article in Chemical research in toxicology, 2025. 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
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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

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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.

Anna C NevilleMaseeh Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0009-0000-9869-890X
David A JarmaMaseeh Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, Austin, Texas 78712, United States.
Daniel C BlomdahlMaseeh Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0002-2004-0937
Chou-Hsien LinMaseeh Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, Austin, Texas 78712, United States.
Kerry A KinneyMaseeh Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, Austin, Texas 78712, United States.
Pawel K MisztalMaseeh Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0003-1060-1750

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to air pollution plays a significant role in human health. Current methods of measuring human exposure are often limited to outdoor measurements, are time intensive, or are unable to accurately measure certain classes of compounds. This study proposes human hair as a promising indicator of pollution exposure. We present a novel method of hair analysis involving thermal extraction and detection of semivolatile organic compounds using a Vocus 2R proton transfer reaction time-of-flight mass spectrometer (Vocus PTR-TOF-MS). The hair samples were subjected to a temperature ramp spanning three different temperatures: 60 °C, 90 °C, and 120 °C. A hierarchical clustering approach was used to create "clustergrams", dendrograms comprising chemical fingerprints of the hair samples at each different temperature. Each clustergram grouped the chemicals in the samples by similarity, allowing the determination of potential sources of exposure. Multivariate factor analysis revealed the presence of phthalates and their corresponding metabolites, confirming that this method can detect biomarkers associated with pollution exposure. This method enables the rapid and sensitive detection of a wide spectrum of toxicologically relevant compounds in human hair, providing an initial screening tool for measuring human exposure and assessing health risks.

Indexed as

Environmental ExposureHairMass SpectrometryHumansPhthalic AcidsProtonsPhthalic AcidsProtons

Identifiers

PMID40919832
PMCPMC12541802

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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.