Evidence map›Paper›PMID 30301275›Full record

ReviewMolecules (Basel, Switzerland)2018

Applications of Ion Mobility-Mass Spectrometry in Carbohydrate Chemistry and Glycobiology.

Yuqing Mu, Benjamin L Schulz, Vito Ferro

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. 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

3 authors.

Yuqing MuSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane 4072, Australia. yuqingmu0708@hotmail.com.
Benjamin L SchulzSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane 4072, Australia. b.schulz@uq.edu.au.
Vito FerroSchool of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane 4072, Australia. v.ferro@uq.edu.au.ORCID 0000-0003-3306-2550

Funding

Australian Research Council DP160102766Australian Research Council DP170104431National Health and Medical Research Council APP1087975
6 · The paper itself

Abstract

Carbohydrate analyses are often challenging due to the structural complexity of these molecules, as well as the lack of suitable analytical tools for distinguishing the vast number of possible isomers. The coupled technique, ion mobility-mass spectrometry (IM-MS), has been in use for two decades for the analysis of complex biomolecules, and in recent years it has emerged as a powerful technique for the analysis of carbohydrates. For carbohydrates, most studies have focused on the separation and characterization of isomers in biological samples. IM-MS is capable of separating isomeric ions by drift time, and further characterizing them by mass analysis. Applications of IM-MS in carbohydrate analysis are extremely useful and important for understanding many biological mechanisms and for the determination of disease states, although efforts are still needed for higher sensitivity and resolution.

Indexed as

GlycomicsCarbohydratesIon Mobility SpectrometryIonsIsomerismMass SpectrometryCarbohydratesIonscarbohydratesion mobility-mass spectrometry (IM-MS)isomeric ions

Identifiers

PMID30301275
PMCPMC6222328

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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.