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Updated: Feb 20, 2026
Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
Published on: July 11, 2016
Matrix-assisted laser desorption/ionization-time of flight mass spectrometry: protocol standardization and database
Saikat Paul1, Pankaj Singh1, Shivaprakash M Rudramurthy1
1Department of Medical Microbiology, Postgraduate Institute of Medical Education & Research, Chandigarh-160012, India.
Aim:
To standardize the matrix-assisted laser desorption ionization-time of flight mass spectrometry protocols and expansion of existing Bruker Biotyper database for mold identification.
Materials & Methods:
Four different sample preparation methods (protocol A, B, C and D) were evaluated.
Results:
On analyzing each protein extraction method, reliable identification and best log scores were achieved through protocol D. The same protocol was used to identify 153 clinical isolates. Of these 153, 123 (80.3%) were accurately identified by using existing database and remaining 30 (19.7%) were not identified due to unavailability in database. On inclusion of missing main spectrum profile in existing database, all 153 isolates were identified.
Conclusion:
Matrix-assisted laser desorption ionization-time of flight mass spectrometry can be used for routine identification of clinically important molds.
Insights
This study optimized matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) for mold identification. Expanding the Bruker Biotyper database improved accuracy for clinical mold isolates.
Area of Science:
- Microbiology
- Analytical Chemistry
- Clinical Diagnostics
Background:
- Accurate and rapid identification of fungal pathogens is crucial for effective clinical treatment.
- Existing identification methods can be time-consuming or lack specificity.
- Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) offers a promising alternative for microbial identification.
Purpose of the Study:
- To standardize MALDI-TOF MS protocols for mold identification.
- To expand the Bruker Biotyper database with essential mold profiles.
- To evaluate the efficiency of an optimized MALDI-TOF MS workflow for clinical mold isolates.
Main Methods:
- Evaluation of four distinct sample preparation protocols (A, B, C, D) for protein extraction.
- Optimization of MALDI-TOF MS parameters for mold analysis.
- Database expansion with missing main spectrum profiles (MSPs).
Main Results:
- Protocol D demonstrated superior performance in reliable mold identification and achieving high log scores.
- Initial identification of 153 clinical mold isolates using the existing database yielded 80.3% accuracy.
- Inclusion of missing MSPs in the database resulted in 100% accurate identification of all 153 isolates.
Conclusions:
- Standardized MALDI-TOF MS protocols, coupled with an expanded database, enable accurate and routine identification of clinically significant molds.
- The optimized method significantly improves the diagnostic yield for mold infections.
- MALDI-TOF MS is a valuable tool for rapid and reliable mold identification in clinical microbiology laboratories.
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01:19MALDI-TOF Mass Spectrometry
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