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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

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Authors

MDMaja DopuđCroatian Veterinary InstituteSŠSandra ŠutoAndrija Stampar Teaching Institute of Public HealthDTDora TomaškovićCroatian Veterinary Institute

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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/68bb42272b87ece8dc959005https://doi.org/10.3390/pathogens14090856
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