Evidence map›Paper›PMID 36697531›Full record

ArticleCommunications chemistry2021

High sensitivity analysis of nanogram quantities of glycosaminoglycans using ToF-SIMS.

Andrew L Hook, John Hogwood, Elaine Gray, Barbara Mulloy, Catherine L R Merry

Abstract read
In one paragraph

Article in Communications chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Glycosaminoglycans and Their Role in Capillary Walls.Advances in experimental medicine and biology · 2026
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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.

Andrew L HookAdvanced Materials and Healthcare Technology, University of Nottingham, Nottingham, UK. andrew.hook@nottingham.ac.uk.ORCID http://orcid.org/0000-0001-7756-8444
John HogwoodNational Institute for Biological Standards and Control, Potters Bar, UK.
Elaine GrayNational Institute for Biological Standards and Control, Potters Bar, UK.
Barbara MulloyInstitute for Pharmaceutical Science, King's College London, Franklin-Wilkins Building, Stamford Street, London, UK.
Catherine L R MerryStem Cell Glycobiology Group, Biodiscovery Institute, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.ORCID http://orcid.org/0000-0002-3490-2809

Funding

National Centre for the Replacement Refinement and Reduction of Animals in Research (NC3Rs) NC/T2T0219University of Nottingham Nottingham Research Fellowship
6 · The paper itself

Abstract

Glycosaminoglycans (GAGs) are important biopolymers that differ in the sequence of saccharide units and in post polymerisation alterations at various positions, making these complex molecules challenging to analyse. Here we describe an approach that enables small quantities (<200 ng) of over 400 different GAGs to be analysed within a short time frame (3-4 h). Time of flight secondary ion mass spectrometry (ToF-SIMS) together with multivariate analysis is used to analyse the entire set of GAG samples. Resultant spectra are derived from the whole molecules and do not require pre-digestion. All 6 possible GAG types are successfully discriminated, both alone and in the presence of fibronectin. We also distinguish between pharmaceutical grade heparin, derived from different animal species and from different suppliers, to a sensitivity as low as 0.001 wt%. This approach is likely to be highly beneficial in the quality control of GAGs produced for therapeutic applications and for characterising GAGs within biomaterials or from in vitro cell culture.

Identifiers

PMID36697531
PMCPMC9814553

What OpenQuestion holds

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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.