Evidence map›Paper›PMID 38984753›Full record

ArticleEnvironmental science & technology2024

ICP-MS As a Contributing Tool to Nontarget Screening (NTS) Analysis for Environmental Monitoring.

Jörg Feldmann, Helle Rüsz Hansen, Thomas Molnár Karlsson, Jan H Christensen

Abstract read
In one paragraph

Article in Environmental science & technology, 2024. 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
–field-weighted citation impact
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.

  1. Review
  2. Review
  3. Article
  4. 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

4 authors.

Jörg FeldmannTESLA-Analytical Chemistry, Institute of Chemistry, University of Graz, Universitätsplatz 1, Graz 8010, Austria.ORCID 0000-0002-0524-8254
Helle Rüsz HansenDanish Environmental Protection Agency, Tolderlundsvej 5, Odense C 5000, Denmark.
Thomas Molnár KarlssonAnalytical Chemistry group, Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg C 1871 , Denmark.
Jan H ChristensenAnalytical Chemistry group, Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg C 1871 , Denmark.ORCID 0000-0003-1414-1886

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the increasing number of chemicals released into the environment, nontarget screening (NTS) analysis is a necessary tool for providing comprehensive chemical analysis of environmental pollutants. However, NTS workflows encounter challenges in detecting both known and unknown pollutants with common chromatography high-resolution mass spectrometry (HRMS) methods. Identification of unknowns is hindered by limited elemental composition information, and quantification without identical reference standards is prone to errors. To address these issues, we propose the use of inductively coupled plasma mass spectrometry (ICP-MS) as an element-specific detector. ICP-MS can enhance the confidence of compound identification and improve quantification in NTS due to its element-specific response and unambiguous chemical composition information. Additionally, mass balance calculations for individual elements (F, Br, Cl, etc.) enable assessment of total recovery of those elements and evaluation of NTS workflows. Despite its benefits, implementing ICP-MS in NTS analysis and environmental regulation requires overcoming certain shortcomings and challenges, which are discussed herein.

Indexed as

Environmental MonitoringEnvironmental PollutantsMass SpectrometryEnvironmental Pollutantschemicals of emerging concernenvironmental monitoringexposomeheteroatomsliquid chromatographymass balancemass spectrometryquantification without standardsunknown pollutants

Identifiers

PMID38984753
PMCPMC11271004

What OpenQuestion holds

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Registered trials

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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.