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Published on: September 15, 2020
[Evaluation of Bacterial Identification Performance Using the I-dOne Measuring Device Based on the Principle of the
Reo Sasaki1, Yumiko Funashima2, Zenzo Nagasawa2
1Medical Laboratory Science Graduate School of Health and Welfare Sciences, International University of Health and Welfare Graduate School.
The I-dOne system, using ATR-FTIR, showed a 73.3% identification agreement for microorganisms compared to MALDI-TOF MS. Further updates are expected to enhance its accuracy in bacterial identification.
Area of Science:
- Microbiology
- Analytical Chemistry
- Spectroscopy
Background:
- Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) is crucial for rapid microorganism identification, aiding antimicrobial stewardship and infectious disease diagnosis.
- The emergence of new identification technologies is vital for improving diagnostic speed and accuracy in clinical microbiology.
Purpose of the Study:
- To evaluate the performance and accuracy of the I-dOne system, an Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) spectroscopy-based microorganism identification system.
- To compare the identification results of the I-dOne system against the established MALDI Biotyper mass spectrometer.
Main Methods:
- A total of 174 bacterial strains (78 Gram-positive, 96 Gram-negative) were analyzed.
- Bacterial identification was performed using the I-dOne system and the MALDI Biotyper mass spectrometer.
- Identification agreement rates between the two methods were calculated.
Main Results:
- The overall identification agreement rate between the I-dOne system and MALDI Biotyper was 73.3% (255 out of 348 samples).
- Performance was evaluated across both Gram-positive and Gram-negative bacterial species.
Conclusions:
- The I-dOne system demonstrates potential for microorganism identification but requires further improvement in accuracy.
- Software updates, database expansion, and refinement are anticipated to enhance the I-dOne system's identification capabilities.
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