Evidence map›Paper›PMID 37304772›Full record

ReviewRSC advances2023

A systematic assessment of matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) application for rapid identification of pathogenic microbes that affect food crops: delivered and future deliverables.

Iyyakkannu Sivanesan, Judy Gopal, Nazim Hasan, Manikandan Muthu

Abstract readReview
In one paragraph

Review in RSC advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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.

Iyyakkannu SivanesanDepartment of Bioresources and Food Science, Institute of Natural Science and Agriculture, Konkuk University 1 Hwayang-dong, Gwangjin-gu Seoul 05029 Korea siva74@konkuk.ac.kr.
Judy GopalDepartment of Research and Innovation, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS) Thandalam Chennai 602105 Tamil Nadu India jejudy777@gmail.com bhagatmani@gmail.com +91 44 2681 1009 +91 44 66726677.ORCID https://orcid.org/0000-0003-0090-5160
Nazim HasanDepartment of Chemistry, Faculty of Science, Jazan University P.O. Box 114 Jazan Saudi Arabia hhasan@jazanu.edu.sa.
Manikandan MuthuDepartment of Research and Innovation, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS) Thandalam Chennai 602105 Tamil Nadu India jejudy777@gmail.com bhagatmani@gmail.com +91 44 2681 1009 +91 44 66726677.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MALDI-TOF MS has decades of experience in the detection and identification of microbial pathogens. This has now become a valuable analytical tool when it comes to the identification and detection of clinical microbial pathogens. This review gives a brief synopsis of what has been achieved using MALDI-TOF MS in clinical microbiology. The major focus, however, is on summarizing and highlighting the effectiveness of MALDI-TOF MS as a novel tool for rapid identification of food crop microbial pathogens. The methods used and the sample preparation methodologies reported thus far have been highlighted and the challenges and gaps and recommendations for fine tuning the technique have been put forth. In an era where anything close to the health and welfare of humanity has been considered as the top priority, this review pitches on one such relevant research topics.

Identifiers

PMID37304772
PMCPMC10251190

What OpenQuestion holds

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LicenceCC BY-NC
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.