Evidence map›Paper›PMID 34136585›Full record

ArticleEnvironmental science & technology letters2020

Developing Unique Nontarget High-Resolution Mass Spectrometry Signatures to Track Contaminant Sources in Urban Waters.

Bowen Du, Zhenyu Tian, Katherine T Peter, Edward P Kolodziej, Charles S Wong

Open access · greenAbstract read
In one paragraph

Article in Environmental science & technology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. An Urban Stormwater Contaminant Signature: Defining Priority Contaminants for Urban Stormwater Research.Water environment research : a research publication of the Water Environment Federation · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. New software tools, databases, and resources in metabolomics: updates from 2020.Metabolomics : Official journal of the Metabolomic Society · 2021
    Review
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

5 authors at 4 institutions in 1 country.

Bowen DuSouthern California Coastal Water Research Project Authority, Costa Mesa, California 92626, United States.ORCID 0000-0002-3910-825X
Zhenyu TianInterdisciplinary Arts and Sciences, University of Washington Tacoma, Tacoma, Washington 98421, United States; Center for Urban Waters, Tacoma, Washington 98421, United States.ORCID 0000-0002-7491-7028
Katherine T PeterNational Institute of Standards and Technology, Charleston, South Carolina 29412, United States.ORCID 0000-0001-7379-265X
Edward P KolodziejInterdisciplinary Arts and Sciences, University of Washington Tacoma, Tacoma, Washington 98421, United States; Center for Urban Waters, Tacoma, Washington 98421, United States; Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-7968-4198
Charles S WongSouthern California Coastal Water Research Project Authority, Costa Mesa, California 92626, United States.ORCID 0000-0002-5743-2942
Southern California Coastal Water Research Project · USCenter for Urban Waters · USNational Institute of Standards and Technology · USUniversity of Washington · US

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

Diffuse pollution in urban receiving waters often adversely impacts both humans and ecosystems. Identifying such pollution sources is challenging and limits the effectiveness of management actions intended to reduce risk. Here, we evaluated the use of nontarget analysis via high-resolution mass spectrometry (HRMS) to develop chemical fingerprints/signatures for source tracking. Specifically, we applied nontarget HRMS to characterize and differentiate two urban chemical sources: roadway runoff and wastewater influent. We isolated 112 and 598 nontarget compounds (both known and unidentified chemicals) that co-occurred in all roadway runoff and wastewater influent samples, respectively, and were unique relative to other sampled sources. For example, methamphetamine, often considered wastewater derived, was detected in all samples, implying that individual wastewater indicators may lack sufficient specificity in urban receiving waters impacted by multiple sources. Hierarchical cluster analysis differentiated source types, and normalized abundance profiling prioritized nontarget compounds with consistent relative abundance patterns across field sites for a given source. Hexa(methoxymethyl)melamine, 1,3-diphenylguanidine, and polyethylene glycols co-occurred in roadway runoff across geographic areas and traffic intensities, supporting continued development of a universal roadway runoff fingerprint based on ubiquitous compounds. This study provides a proof-of-concept for isolating nontarget source fingerprints to track diffuse contamination in urban receiving waters.

Identifiers

PMID34136585
PMCPMC8204317
OpenAlexW3093535627

What OpenQuestion holds

Textmetadata
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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.