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Matrix-assisted Laser Desorption/Ionization Time of Flight MALDI-TOF Mass Spectrometric Analysis of Intact Proteins Larger than 100 kDa
Published on: September 9, 2013
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry: A breakthrough in rapid and precise
Aparna Naik1, Kanchan Ajbani1, Asmita Salvi1
1Department of Microbiology, P. D. Hinduja Hospital and Medical Research Center, Mumbai, India.
Background And Purpose:
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.
Materials And Methods:
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.
Results:
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.
Conclusion:
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.
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