Evidence map›Paper›PMID 33720699›Full record

ArticleAnalytical chemistry2021

Triboelectric Nanogenerator Ion Mobility-Mass Spectrometry for In-Depth Lipid Annotation.

Marcos Bouza, Yafeng Li, Aurelia C Wang, Zhong Lin Wang, Facundo M Fernández

Abstract read
In one paragraph

Article in Analytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Discovery of NaJournal of natural products · 2025
    Article
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  6. Review
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  11. Unveiling Glycerolipid Fragmentation by Cryogenic Infrared Spectroscopy.Journal of the American Chemical Society · 2021
    Article
  12. 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

5 authors.

Marcos BouzaSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-2601-9776
Yafeng LiSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Aurelia C WangSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Zhong Lin WangSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-5530-0380
Facundo M FernándezSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-0302-2534

Funding

Georgia Comprehensive Metabolomics and Proteomics Unit for MoTrPACU24DK112341 · NIDDK · EMORY UNIVERSITY · PI FERNANDEZ, FACUNDO MARTIN, ORTLUND, ERIC A · 2017 to 2025
$8.1M
Deep Ovarian Cancer MetabolomicsR01CA218664 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI Facundo Martin Fernandez, Jaeyeon Kim · 2018 to 2026
$4.3M
Portal for Open Computational Metabolomics Tools - Yr 4 U2C SupplementU2CES030167 · NIEHS · UNIVERSITY OF GEORGIA · PI EDISON, ARTHUR S · 2018 to 2021
$4.2M
NCI NIH HHS R01 CA218664NIDDK NIH HHS U24 DK112341NIEHS NIH HHS U2C ES030167
6 · The paper itself

Abstract

Lipids play a critical role in cell membrane integrity, signaling, and energy storage. However, in-depth structural characterization of lipids is still challenging and not routinely possible in lipidomics experiments. Techniques such as collision-induced dissociation (CID) tandem mass spectrometry (MS/MS), ion mobility (IM) spectrometry, and ultrahigh-performance liquid chromatography are not yet capable of fully characterizing double-bond and

Indexed as

Ion Mobility SpectrometryTandem Mass SpectrometryChromatography, LiquidLipidomicsLipidsLipids

Identifiers

PMID33720699
PMCPMC8292975

What OpenQuestion holds

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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.