Evidence map›Paper›PMID 38921827›Full record

ArticleMethods and protocols2024

A Comprehensive Methodology for Microbial Strain Typing Using Fourier-Transform Infrared Spectroscopy.

Francis Muchaamba, Roger Stephan

Abstract read
In one paragraph

Article in Methods and protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Standardization and evaluation of artificial intelligence-driven Fourier-transform infrared bio-typing for the discrimination of Escherichia coli and Shigella spp. on genus, species and serogroup level.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  2. Article
  3. Article
  4. Application of FT-IR spectroscopy using the IR BiotyperEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  5. FT-IR Spectroscopy to Discriminate Old from NewInternational journal of molecular sciences · 2026
    Article
  6. Review
  7. Discrimination betweenOne health (Amsterdam, Netherlands) · 2026
    Article
  8. Machine learning-based typing ofMicrobiology spectrum · 2026
    Article
  9. Characterization ofPathogens (Basel, Switzerland) · 2026
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Differentiation ofFrontiers in microbiology · 2026
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Easy Identification ofACS omega · 2025
    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

2 authors.

Francis MuchaambaInstitute for Food Safety and Hygiene, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 272, CH-8057 Zurich, Switzerland.ORCID 0000-0003-2266-3318
Roger StephanInstitute for Food Safety and Hygiene, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 272, CH-8057 Zurich, Switzerland.ORCID 0000-0003-1002-4762

Funding

University of Zurich Graduate Campus Short Grant 2023__SG_033
6 · The paper itself

Abstract

Timely and accurate detection and characterization of microbial threats is crucial for effective infection and outbreak management. Additionally, in food production, rapid microbe identification is indispensable for maintaining quality control and hygiene standards. Current methods for typing microbial strains often rely on labor-intensive, time-consuming, and expensive DNA- and sera-serotyping techniques, limiting their applicability in rapid-response scenarios. In this context, the IR Biotyper

Indexed as

Fourier-transform infrared spectroscopyoutbreakpathogen detectionstrain typingsurveillance

Identifiers

PMID38921827
PMCPMC11207048

What Socratic 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 Socratic graph.