Evidence map›Paper›PMID 37578818›Full record

ArticleAnalytical chemistry2023

Evaluation of Data-Dependent MS/MS Acquisition Parameters for Non-Targeted Metabolomics and Molecular Networking of Environmental Samples: Focus on the Q Exactive Platform.

Paolo Stincone, Abzer K Pakkir Shah, Robin Schmid, Lana G Graves, Stilianos P Lambidis, Ralph R Torres, Shu-Ning Xia, Vidit Minda, Allegra T Aron, Mingxun Wang and 2 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  5. Cooperative siderophore use stabilizes a protective leaf microbiome.bioRxiv : the preprint server for biology · 2026
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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

12 authors.

Paolo StinconeCluster of Excellence-Controlling Microbes to Fight Infection, University of Tübingen, Tübingen 72076, Germany.ORCID 0000-0002-2214-6655
Abzer K Pakkir ShahCluster of Excellence-Controlling Microbes to Fight Infection, University of Tübingen, Tübingen 72076, Germany.
Robin SchmidInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo nám. 2, 160 00 Praha 6, Czech Republic.
Lana G GravesFaculty of Mathematics and Natural Sciences, Environmental Systems Analysis, University of Tübingen, Tübingen 72076, Germany.
Stilianos P LambidisCluster of Excellence-Controlling Microbes to Fight Infection, University of Tübingen, Tübingen 72076, Germany.
Ralph R TorresUniversity of California San Diego, Scripps Institution of Oceanography, La Jolla, California 92093, United States.
Shu-Ning XiaCluster of Excellence-Controlling Microbes to Fight Infection, University of Tübingen, Tübingen 72076, Germany.ORCID 0000-0001-8317-9488
Vidit MindaDepartment of Chemistry and Biochemistry, University of Denver, Denver, Colorado 80210, United States.
Allegra T AronDepartment of Chemistry and Biochemistry, University of Denver, Denver, Colorado 80210, United States.
Mingxun WangDepartment of Computer Science, University of California Riverside, Riverside, California 92507, United States.ORCID 0000-0001-7647-6097
Chambers C HughesCluster of Excellence-Controlling Microbes to Fight Infection, University of Tübingen, Tübingen 72076, Germany.ORCID 0000-0002-7000-6438
Daniel PetrasCluster of Excellence-Controlling Microbes to Fight Infection, University of Tübingen, Tübingen 72076, Germany.ORCID 0000-0002-6561-3022

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-targeted liquid chromatography-tandem mass spectrometry (LC-MS/MS) is a widely used tool for metabolomics analysis, enabling the detection and annotation of small molecules in complex environmental samples. Data-dependent acquisition (DDA) of product ion spectra is thereby currently one of the most frequently applied data acquisition strategies. The optimization of DDA parameters is central to ensuring high spectral quality, coverage, and number of compound annotations. Here, we evaluated the influence of 10 central DDA settings of the Q Exactive mass spectrometer on natural organic matter samples from ocean, river, and soil environments. After data analysis with classical and feature-based molecular networking using MZmine and GNPS, we compared the total number of network nodes, multivariate clustering, and spectrum quality-related metrics such as annotation and singleton rates, MS/MS placement, and coverage. Our results show that

Indexed as

MetabolomicsTandem Mass SpectrometryChromatography, Liquid

Identifiers

PMID37578818
PMCPMC10469366

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.