Evidence map›Paper›PMID 33598649›Full record

ArticleWater research X2021

Optimized suspect screening approach for a comprehensive assessment of the impact of best management practices in reducing micropollutants transport in the Potomac River watershed.

Mary Grace E Guardian, Ping He, Alysson Bermudez, Shuiwang Duan, Sujay S Kaushal, Erik Rosenfeldt, Diana S Aga

Open access · goldAbstract read
In one paragraph

Article in Water research X, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Pesticides in surface freshwater: a critical review.Environmental monitoring and assessment · 2022
    Review
  4. 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

7 authors at 4 institutions in 1 country.

Mary Grace E GuardianDepartment of Chemistry, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, 14260, USA.
Ping HeDepartment of Chemistry, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, 14260, USA.
Alysson BermudezDepartment of Chemistry, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, 14260, USA.
Shuiwang DuanDepartment of Geology & Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, 20740, USA.
Sujay S KaushalDepartment of Geology & Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, 20740, USA.
Erik RosenfeldtHazen and Sawyer, Richmond, VA, 23230, USA.
Diana S AgaDepartment of Chemistry, University at Buffalo, The State University of New York (SUNY), Buffalo, NY, 14260, USA.
University at Buffalo, State University of New York · USEarth System Science Interdisciplinary Center · USHazen and Sawyer (United States) · USUniversity of Maryland, College Park · US

Funding

EPA R835825
6 · The paper itself

Abstract

The vast number of chemicals potentially reaching aquatic environment pose a challenge in maintaining the quality of water resources. However, best management practices to improve water quality are typically focused on reducing nutrient transport without assessing how these practices may impact the occurrence of micropollutants. The potential for co-management of nutrients and organic micropollutants exists, but few studies have comprehensively evaluated the suite of contaminants associated with different water quality management practices (riparian zone restoration, stormwater management, etc.). Furthermore, most studies dealing with the determination of micropollutants in environmental samples include only a limited number of target analytes, leaving many contaminants undetected. To address this limitation, there has been a gradual shift in environmental monitoring from using target analysis to either suspect screening analysis (SSA) or non-targeted analysis (NTA), which relies on accurate mass measurements, mass spectral fragmentation patterns, and retention time information obtained using liquid chromatography coupled to high-resolution mass spectrometry. The work presented in this paper focuses on a wide-scope detection of micropollutants in surface water samples from the Potomac River watershed (United States). An in-house database composed of 1039 compounds based on experimental analysis of primary standards was established, and SSA workflow was optimized and applied to determine the presence of micropollutants in surface water. A total of 103 micropollutants were detected in the samples, some of which are contaminants that were not previously monitored and belong to various classes such as pharmaceuticals, personal care products, per-and polyfluoroalkyl substances and other persistent industrial chemicals. The impact of best management practices being implemented for nitrogen and phosphorus reductions were also assessed for their potential to reduce micropollutant transport. This work illustrates the advantages of suspect screening methods to determine a large number of micropollutants in environmental samples and reveals the potential to co-manage a diverse array of micropollutants based on shared transport and transformation mechanisms in watersheds.

Indexed as

AntibioticsBest management practices (BMPs)Emerging contaminantsEndocrine disrupting chemicalsHigh-resolution mass spectrometry (HRMS)Per- and polyfluoroalkyl substances (PFASs)

Identifiers

PMID33598649
PMCPMC7868815
OpenAlexW3120405596

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.