Evidence map›Paper›PMID 38869925›Full record

ArticleAnalytical chemistry2024

Detection and Exclusion of False-Positive Molecular Formula Assignments via Mass Error Distributions in UHR Mass Spectra of Natural Organic Matter.

Shuxian Gao, Elaine K Jennings, Limei Han, Boris P Koch, Peter Herzsprung, Oliver J Lechtenfeld

Abstract read
In one paragraph

Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Shuxian GaoDepartment Environmental Analytical Chemistry, Research Group BioGeoOmics, Helmholtz Centre for Environmental Research─UFZ, Permoserstr. 15, Leipzig D-04318, Germany.ORCID 0009-0004-7819-7525
Elaine K JenningsDepartment Environmental Analytical Chemistry, Research Group BioGeoOmics, Helmholtz Centre for Environmental Research─UFZ, Permoserstr. 15, Leipzig D-04318, Germany.
Limei HanDepartment Environmental Analytical Chemistry, Research Group BioGeoOmics, Helmholtz Centre for Environmental Research─UFZ, Permoserstr. 15, Leipzig D-04318, Germany.ORCID 0000-0002-9844-144X
Boris P KochDepartment of Biosciences, Ecological Chemistry, Helmholtz Centre for Polar and Marine Research─AWI, Am Handelshafen 12, Bremerhaven D-27570, Germany.ORCID 0000-0002-8453-731X
Peter HerzsprungDepartment Lake Research, Helmholtz Centre for Environmental Research─UFZ, Brückstr. 3a, Magdeburg D-39114, Germany.ORCID 0000-0001-5872-443X
Oliver J LechtenfeldDepartment Environmental Analytical Chemistry, Research Group BioGeoOmics, Helmholtz Centre for Environmental Research─UFZ, Permoserstr. 15, Leipzig D-04318, Germany.ORCID 0000-0001-5313-6014

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrahigh resolution mass spectrometry (UHRMS) routinely detects and identifies thousands of mass peaks in complex mixtures, such as natural organic matter (NOM) and petroleum. The assignment of several chemically plausible molecular formulas (MFs) for a single accurate mass still poses a major problem for the reliable interpretation of NOM composition in a biogeochemical context. Applying sensible chemical rules for MF validation is often insufficient to eliminate multiple assignments (MultiAs)─especially for mass peaks with low abundance or if ample heteroatoms or isotopes are included - and requires manual inspection or expert judgment. Here, we present a new approach based on mass error distributions for the identification of true and false assignments among MultiAs. To this end, we used the mass error in millidalton (mDa), which was superior to the commonly used relative mass error in ppm. We developed an automatic workflow to group MultiAs based on their shared formula units and Kendrick mass defect values and to evaluate the mass error distribution. In this way, the number of valid assignments of chlorinated disinfection byproducts was increased by 8-fold as compared to only applying

Identifiers

PMID38869925
PMCPMC11209664

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.