Development and application of MALDI-TOF MS for identification of food spoilage fungi

Laura Quéro1, Victoria Girard2, Audrey Pawtowski3

  • 1Université de Brest, EA 3882, Laboratoire Universitaire de Biodiversité et Ecologie Microbienne, IBSAM, ESIAB, Technopôle Brest-Iroise, 29280 Plouzané, France; BioMérieux, R&D Microbiologie, Route de Port Michaud, 38390 La Balme les Grottes, France.

Food Microbiology
|March 27, 2019
PubMed

Insights

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) offers a rapid and accurate method for identifying food spoilage fungi. A new comprehensive spectral database achieved high identification rates, improving food safety and quality management.

Area of Science:

  • Food Microbiology
  • Mycology
  • Analytical Chemistry

Background:

  • Filamentous fungi are major contributors to food spoilage, causing significant economic losses.
  • Accurate and rapid identification of spoilage fungi is crucial for food safety and quality control.
  • Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is a promising technique for microbial identification.

Purpose of the Study:

  • To develop a comprehensive spectral database for identifying food spoilage molds using MALDI-TOF MS.
  • To evaluate the performance of the developed database for accurate fungal identification.

Main Methods:

  • A standardized extraction protocol was applied to 618 fungal strains from 136 species.
  • 6477 spectra were acquired and integrated into the VITEK MS database.
  • Database performance was assessed through cross-validation and testing with external isolates.

Main Results:

  • The developed database achieved approximately 95% correct identification to the species level via cross-validation.
  • Identification accuracy was independent of cultivation medium and incubation time.
  • External validation demonstrated 90% correct species-level identification for 52 species.

Conclusions:

  • This study presents the most extensive database of food-relevant filamentous fungi to date.
  • MALDI-TOF MS with the developed database is a reliable alternative to conventional methods for identifying spoilage fungi.
  • This approach enhances rapid detection in food and industrial settings, improving food safety management.

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