Evidence map›Paper›PMID 34576812›Full record

ReviewMicroorganisms2021

Current Scenario and Challenges in the Direct Identification of Microorganisms Using MALDI TOF MS.

Sang-Soo Han, Young-Su Jeong, Sun-Kyung Choi

Abstract readReview
In one paragraph

Review in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. TrackingACS omega · 2026
    Review
  4. Comparative genomics of 'Microbial genomics · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Exploring the diagnostic landscape ofFrontiers in microbiology · 2025
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Mass Spectrometry Applications to Study Human Microbiome.Advances in experimental medicine and biology · 2024
    Article
  20. 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

3 authors.

Sang-Soo HanAdvanced Defense Science & Technology Research Institute, Agency for Defense Development, Daejeon 34186, Korea.
Young-Su JeongChem-Bio Technology Center, Agency for Defense Development, Daejeon 34186, Korea.
Sun-Kyung ChoiChem-Bio Technology Center, Agency for Defense Development, Daejeon 34186, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MALDI TOF MS-based microbial identification significantly lowers the operational costs because of minimal requirements of substrates and reagents for extraction. Therefore, it has been widely used in varied applications such as clinical, food, military, and ecological research. However, the MALDI TOF MS method is laced with many challenges including its limitation of the reference spectrum. This review briefly introduces the background of MALDI TOF MS technology, including sample preparation and workflow. We have primarily discussed the application of MALDI TOF MS in the identification of microorganisms. Furthermore, we have discussed the current trends for bioaerosol detection using MALDI TOF MS and the limitations and challenges involved, and finally the approaches to overcome these challenges.

Indexed as

applicationchallengesmachine learningMALDI TOF MSmicrobial identification

Identifiers

PMID34576812
PMCPMC8466008

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.