Evidence map›Paper›PMID 38772742›Full record

ReviewJournal of separation science2024

Rapid evaporative ionization mass spectrometry: A survey through 15 years of applications.

Cinzia Cafarella, Domenica Mangraviti, Francesca Rigano, Paola Dugo, Luigi Mondello

Abstract readReview
In one paragraph

Review in Journal of separation science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

5 authors.

Cinzia CafarellaDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, Messina Institute of Technology, former Veterinary School, University of Messina, Messina, Italy.
Domenica MangravitiDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, Messina Institute of Technology, former Veterinary School, University of Messina, Messina, Italy.
Francesca RiganoDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, Messina Institute of Technology, former Veterinary School, University of Messina, Messina, Italy.ORCID https://orcid.org/0000-0001-7887-7134
Paola DugoDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, Messina Institute of Technology, former Veterinary School, University of Messina, Messina, Italy.ORCID https://orcid.org/0000-0002-9432-1782
Luigi MondelloDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences, Messina Institute of Technology, former Veterinary School, University of Messina, Messina, Italy.ORCID https://orcid.org/0000-0002-8890-675X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid evaporative ionization mass spectrometry (REIMS) is a relatively recent MS technique explored in many application fields, demonstrating high versatility in the detection of a wide range of chemicals, from small molecules (phenols, amino acids, di- and tripeptides, organic acids, and sugars) to larger biomolecules, that is, phospholipids and triacylglycerols. Different sampling devices were used depending on the analyzed matrix (liquid or solid), resulting in distinct performances in terms of automation, reproducibility, and sensitivity. The absence of laborious and time-consuming sample preparation procedures and chromatographic separations was highlighted as a major advantage compared to chromatographic methods. REIMS was successfully used to achieve a comprehensive sample profiling according to a metabolomics untargeted analysis. Moreover, when a multitude of samples were available, the combination with chemometrics allowed rapid sample differentiation and the identification of discriminant features. The present review aims to provide a survey of literature reports based on the use of such analytical technology, highlighting its mode of operation in different application areas, ranging from clinical research, mostly focused on cancer diagnosis for the accurate identification of tumor margins, to the agri-food sector aiming at the safeguard of food quality and security.

Indexed as

Mass SpectrometryFood AnalysisHumansMetabolomicschemometricsdirect‐MSfingerprintingmachine learningmetabolomics

Identifiers

PMID38772742
PMCPMC12964339

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.