Evidence map›Paper›PMID 32335688›Full record

ArticleAnalytical and bioanalytical chemistry2020

Examining NTA performance and potential using fortified and reference house dust as part of EPA's Non-Targeted Analysis Collaborative Trial (ENTACT).

Seth R Newton, Jon R Sobus, Elin M Ulrich, Randolph R Singh, Alex Chao, James McCord, Sarah Laughlin-Toth, Mark Strynar

Open access · greenAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

19 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. The PFAS roadmap-Navigating a path together to improved management.Sustainability science and technology · 2026
    Article
  3. Review
  4. The impact of particle size on PFAS concentrations in dust from homes in North Carolina and New York and implications for exposure.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2026
    Article
  5. Article
  6. Article
  7. Article
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  9. Review
  10. Review
  11. Article
  12. Article
  13. Evaluation of a rapid, generic human gestational dose model.Reproductive toxicology (Elmsford, N.Y.) · 2022
    Article
  14. Article
  15. Article
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  18. Review
  19. Article
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

8 authors at 3 institutions in 1 country.

Seth R NewtonCenter for Computational Toxicology and Exposure, Office of Research & Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711, USA. Newton.Seth@epa.gov.
Jon R SobusCenter for Computational Toxicology and Exposure, Office of Research & Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711, USA.
Elin M UlrichCenter for Computational Toxicology and Exposure, Office of Research & Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711, USA.
Randolph R SinghOak Ridge Institute for Science and Education, Post-Doctoral Participant, National Exposure Research Laboratory, Office of Research & Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711, USA.
Alex ChaoOak Ridge Institute for Science and Education, Post-Doctoral Participant, National Exposure Research Laboratory, Office of Research & Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711, USA.
James McCordCenter for Environmental Measurement and Modeling, Office of Research & Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711, USA.
Sarah Laughlin-TothOak Ridge Institute for Science and Education, Post-Doctoral Participant, National Exposure Research Laboratory, Office of Research & Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711, USA.
Mark StrynarCenter for Environmental Measurement and Modeling, Office of Research & Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711, USA.
Environmental Protection Agency · USResearch Triangle Park Foundation · USOak Ridge Institute for Science and Education

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Non-targeted analysis (NTA) methods are being increasingly used to aid in the identification of unknown compounds in the environment, a problem that has challenged environmental chemists for decades. Despite its increased use, quality assurance practices for NTA have not been well established. Furthermore, capabilities and limitations of certain NTA methods have not been thoroughly evaluated. Standard reference material dust (SRM 2585) was used here to evaluate the ability of NTA to identify previously reported compounds, as well as a suite of 365 chemicals that were spiked at various stages of the analytical procedure. Analysis of the unaltered SRM 2585 extracts revealed that several previously reported compounds can be identified by NTA, and that correct identification was dependent on concentration. A manual inspection of unknown features in SRM 2585 revealed the presence of two chlorinated and fluorinated compounds in high abundance, likely precursors to perfluorooctane sulfonate (PFOS) and perfluorohexane sulfonate (PFHxS). A retrospective analysis of data from the American Healthy Homes Survey revealed that these compounds were present in 42% of sampled homes. Spiking the dust at various stages of sample preparation revealed losses from extraction, cleanup, and instrumental analysis; the log K

Indexed as

DustENTACTExposomicsNon-targeted analysisSRM 2585Suspect screening

Identifiers

PMID32335688
PMCPMC7450823
OpenAlexW3018426427

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.