Evidence map›Paper›PMID 30603962›Full record

ArticleCurrent microbiology2019

Application of MALDI Biotyper System for Rapid Identification of Bacteria Isolated from a Fresh Produce Market.

Israa Mohamad El-Nemr, Mohanad Mushtaha, Sathyavathi Sundararaju, Charmaine Fontejon, Mohammed Suleiman, Patrick Tang, Ipek Goktepe, Mohammad Rubayet Hasan

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Current microbiology, 2019. 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. Foods (Basel, Switzerland) · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. 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

8 authors.

Israa Mohamad El-NemrDepartment of Biological and Environmental Sciences, College of Arts and Sciences, Qatar University, Doha, Qatar.
Mohanad MushtahaDepartment of Biological and Environmental Sciences, College of Arts and Sciences, Qatar University, Doha, Qatar.
Sathyavathi SundararajuDepartment of Pathology, Sidra Medicine, Office No: H2M-24093, PO Box 26999, Doha, Qatar.
Charmaine FontejonDepartment of Pathology, Sidra Medicine, Office No: H2M-24093, PO Box 26999, Doha, Qatar.
Mohammed SuleimanDepartment of Pathology, Sidra Medicine, Office No: H2M-24093, PO Box 26999, Doha, Qatar.
Patrick TangDepartment of Pathology, Sidra Medicine, Office No: H2M-24093, PO Box 26999, Doha, Qatar.
Ipek GoktepeDepartment of Biological and Environmental Sciences, College of Arts and Sciences, Qatar University, Doha, Qatar.
Mohammad Rubayet HasanDepartment of Pathology, Sidra Medicine, Office No: H2M-24093, PO Box 26999, Doha, Qatar. mhasan@sidra.org.ORCID http://orcid.org/0000-0002-4658-7949

Funding

Qatar National Research Fund GSRA2-1-0615-14038Qatar University QUST-CAS-SPR-2017-12
6 · The paper itself

Abstract

MALDI-TOF MS has revolutionized the identification of microorganisms and has become an indispensable part of routine diagnostics in the clinical microbiological laboratory. However, application of this technique in microbial surveillance outside of clinical settings is limited. In this study, we have evaluated the performance of a Bruker MALDI Biotyper System for the identification of bacteria isolated from the hand palms of fresh produce handlers and their surrounding environments in a wholesale fresh produce market in Doha, Qatar. The accuracy was verified against the results obtained by bacterial 16S rRNA gene sequencing. A total of 105 isolates were tested, of which 67 (64%) isolates were identified by MALDI-TOF MS and 101 isolates (96%) were identified by 16S rRNA gene sequencing, either at the genus level or species level. However, MALDI-TOF MS identified more isolates (41%) at the species level than 16S rRNA gene sequencing (28%). MALDI-TOF MS was particularly useful in the species level identification of Enterobacteriaceae. MALDI-TOF MS successfully identified most known human pathogens in a rapid and cost-effective manner but failed to identify a significant number of isolates that were of environmental origin, suggesting room for further expansion of the reference database.

Indexed as

Environmental MicrobiologySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBacteriaBacterial Typing TechniquesDNA, BacterialHandHumansQatarRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialRNA, Ribosomal, 16S

Identifiers

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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.