# Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry: A breakthrough in rapid and precise mold identification

**Authors:** Aparna Naik, Kanchan Ajbani, Asmita Salvi, Camilla Rodrigues, Shaoli Basu, Anjali Shetty

PMC · DOI: 10.22034/cmm.2025.345248.1617 · Current Medical Mycology · 2025-08-26

## TL;DR

This study shows that MALDI-TOF MS is a fast and accurate method for identifying molds, which is important for treating patients with fungal infections.

## Contribution

The study standardizes and validates Vitek MS for mold identification in clinical settings.

## Key findings

- Vitek MS achieved a 92.85% concordance rate with traditional phenotypic methods for mold identification.
- Vitek MS was found to be highly accurate and time-efficient for mold identification.
- Database expansion is needed to improve the identification of a broader range of molds.

## Abstract

Rapid and accurate identification of molds is critical in clinical microbiology, particularly for immunocompromised patients at increased risk of fungal infections. Traditional methods, such as culture and microscopy, are time-consuming and may lack species-level specificity. The matrix-assisted laser desorption/ionization time-of-flight mass spectrometry matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) provides a promising alternative due to its speed and accuracy. This study aimed to standardize Vitek MS for mold identification and compare its effectiveness with traditional phenotypic methods, assessing its reliability, turnaround times, and cost-effectiveness in clinical settings.

A retrospective examination of 248 anonymized mold isolates was conducted at Hinduja Hospital, with 182 isolates successfully revived. Both Vitek MS and phenotypic techniques were used to identify the molds, and the concordance rate between the two methods was calculated.

Vitek MS accurately identified 169 out of the 182 isolates, yielding a concordance rate of 92.85% with phenotypic methods. Of the remaining isolates, 1 was misidentified, 4 could not be identified, and 8 were not represented in the database.

Vitek MS proved to be a highly accurate and time-efficient tool for mold identification, enhancing clinical diagnostics. Expansion of its database is crucial for broader mold identification. This study supported integration of Vitek MS into routine laboratory practice, aiding in timely antifungal treatment, improving patient outcomes, and assisting in outbreak detection and public health management.

## Full-text entities

- **Diseases:** fungal infections (MESH:D009181)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

17 references — full list in the complete paper: https://tomesphere.com/paper/PMC12905547/full.md

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Source: https://tomesphere.com/paper/PMC12905547