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Updated: Jan 27, 2026

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
Published on: July 11, 2016
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.
Abstract:
Filamentous fungi are frequently involved in food spoilage and cause important food losses and substantial economic damage. Their rapid and accurate identification is a key step to better manage food safety and quality. In recent years, MALDI-TOF MS has emerged as a powerful tool to identify microorganisms and has successfully been applied to the identification of filamentous fungi especially in the clinical context. The aim of this study was to implement a spectral database representative of food spoilage molds. To this end, after application of a standardized extraction protocol, 6477 spectra were acquired from 618 fungal strains belonging to 136 species and integrated in the VITEK MS database. The performances of this database were then evaluated by cross-validation and ∼95% of correct identification to the species level was achieved, independently of the cultivation medium and incubation time. The database was also challenged with external isolates belonging to 52 species claimed in the database and 90% were correctly identified to the species level. To our best knowledge, this is the most comprehensive database of food-relevant filamentous fungi developed to date. This study demonstrates that MALDI-TOF MS could be an alternative to conventional techniques for the rapid and reliable identification of spoilage fungi in food and industrial environments.
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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