Evidence map›Paper›PMID 31878231›Full record

ArticleMetabolites2019

Generation of a Collision Cross Section Library for Multi-Dimensional Plant Metabolomics Using UHPLC-Trapped Ion Mobility-MS/MS.

Mark Schroeder, Sven W Meyer, Heino M Heyman, Aiko Barsch, Lloyd W Sumner

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 78 citations in OpenAlex.

  1. Siderophore-metal complexes in Paraburkholderia phymatum: structure elucidation of phymabactin.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 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

5 authors at 2 institutions in 2 countries.

Mark SchroederDepartment of Biochemistry, Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA.
Sven W MeyerSolutions Development, Bruker Daltonics, 28359 Bremen, Germany.
Heino M HeymanSolutions Development, Bruker Daltonics, 28359 Bremen, Germany.ORCID 0000-0003-0941-2506
Aiko BarschSolutions Development, Bruker Daltonics, 28359 Bremen, Germany.ORCID 0000-0002-7208-4528
Lloyd W SumnerDepartment of Biochemistry, Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA.ORCID 0000-0002-4086-663X
Bruker (Germany) · DEUniversity of Missouri · US

Funding

Bruker Daltonics, Gmbh Collaboration with Sumner LabUniversity of Missouri Dept. of Biochemistry
6 · The paper itself

Abstract

The utility of metabolomics is well documented; however, its full scientific promise has not yet been realized due to multiple technical challenges. These grand challenges include accurate chemical identification of all observable metabolites and the limiting depth-of-coverage of current metabolomics methods. Here, we report a combinatorial solution to aid in both grand challenges using UHPLC-trapped ion mobility spectrometry coupled to tandem mass spectrometry (UHPLC-TIMS-TOF-MS). TIMS offers additional depth-of-coverage through increased peak capacities realized with the multi-dimensional UHPLC-TIMS separations. Metabolite identification confidence is simultaneously enhanced by incorporating orthogonal collision cross section (CCS) data matching. To facilitate metabolite identifications, we created a CCS library of 146 plant natural products. This library was generated using TIMS with N

Indexed as

adductsCCScollision cross sectionmass spectrometrymetabolomicsnatural productsTIMStrapped ion mobility spectrometry

Identifiers

PMID31878231
PMCPMC7023306
OpenAlexW2997639658

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.