Evidence map›Paper›PMID 35567235›Full record

ReviewPlants (Basel, Switzerland)2022

Mass Spectrometry Imaging for Spatial Chemical Profiling of Vegetative Parts of Plants.

Akhila Ajith, Phillip J Milnes, Giles N Johnson, Nicholas P Lockyer

Abstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Applications of DESI and DART Mass Spectrometry in Forensic Science.Journal of the American Society for Mass Spectrometry · 2025
    Review
  3. Review
  4. Review
  5. Review
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

4 authors.

Akhila AjithDepartment of Chemistry, Photon Science Institute, University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0003-0694-3248
Phillip J MilnesSyngenta, Jeolott's Hill International Research Centre, Bracknell RG42 6EY, UK.
Giles N JohnsonDepartment of Earth and Environmental Sciences, University of Manchester, Manchester M13 9PY, UK.
Nicholas P LockyerDepartment of Chemistry, Photon Science Institute, University of Manchester, Manchester M13 9PL, UK.

Funding

Biotechnology and Biological Sciences Research Council Project reference number: 2618823
6 · The paper itself

Abstract

The detection of chemical species and understanding their respective localisations in tissues have important implications in plant science. The conventional methods for imaging spatial localisation of chemical species are often restricted by the number of species that can be identified and is mostly done in a targeted manner. Mass spectrometry imaging combines the ability of traditional mass spectrometry to detect numerous chemical species in a sample with their spatial localisation information by analysing the specimen in a 2D manner. This article details the popular mass spectrometry imaging methodologies which are widely pursued along with their respective sample preparation and the data analysis methods that are commonly used. We also review the advancements through the years in the usage of the technique for the spatial profiling of endogenous metabolites, detection of xenobiotic agrochemicals and disease detection in plants. As an actively pursued area of research, we also address the hurdles in the analysis of plant tissues, the future scopes and an integrated approach to analyse samples combining different mass spectrometry imaging methods to obtain the most information from a sample of interest.

Indexed as

chemical imagingmass spectrometryplant

Identifiers

PMID35567235
PMCPMC9102225

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.