Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 5, 2025PathogensOpen Access

AI-Enhanced FT-IR Spectroscopy: Evaluation of a Novel Tool for High-Throughput Serovar Typing of Salmonella enterica subsp. enterica in Croatia

View Full Paper
Ask AI
Bookmark
Share

Authors

MDMaja DopuđSŠSandra ŠutoDTDora Tomašković

Discussion

Loading...

Member takes

Overview

This study evaluates AI-assisted FT-IR spectroscopy for serotyping Salmonella enterica, suggesting improved efficiency in public health applications.

Key Points

  • The study shows that AI-enhanced FT-IR spectroscopy enables rapid serotyping of Salmonella enterica subsp. enterica.
  • Results demonstrated a high concordance rate with traditional serotyping methods, validating the AI approach.
  • The research employed a total of 143 S. enterica isolates to assess the method's reliability and reproducibility.
  • Findings highlight the potential of utilizing FT-IR to streamline methodologies in epidemiological surveillance.

Cite This Study

Dopuđ et al. (2025) studied this question.

synapsesocial.com/papers/68c23965b210217d6477b1e4https://doi.org/10.3390/pathogens14090856
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Machine Learning-Powered ATR-FTIR Spectroscopic Clinical Evaluation for Rapid Typing of Salmonella enterica O-Serogroups and Salmonella Typhi2025
  2. 2Rapid Salmonella Serovar Classification Using AI-Enabled Hyperspectral Microscopy with Enhanced Data Preprocessing and Multimodal Fusion2025
  3. 3Use of IR Biotyper as a feasible methodology to type <i>Klebsiella pneumoniae</i>2025
  4. 4Rapid Salmonella Serovar Classification Using AI-Enabled Hyperspectral Microscopy with Enhanced Data Preprocessing and Multimodal Fusion2025
  5. 5Whole genome sequencing as a reliable alternative for Salmonella serotyping: a comparative study with the gold-standard method2025