The Identification of Microbial Pathogens Using Matrix Assisted Laser Desorption Ionization Time of Flight in Medical Intensive Care Unit Beni-Suef University Hospital
Mohamed, M. (2021). The Identification of Microbial Pathogens Using Matrix Assisted Laser Desorption Ionization Time of Flight in Medical Intensive Care Unit Beni-Suef University Hospital. EKB Journal Management System, 30(3), 65-69.
Marwa Nabil Mohamed. "The Identification of Microbial Pathogens Using Matrix Assisted Laser Desorption Ionization Time of Flight in Medical Intensive Care Unit Beni-Suef University Hospital". EKB Journal Management System, 30, 3, 2021, 65-69.
Mohamed, M. (2021). 'The Identification of Microbial Pathogens Using Matrix Assisted Laser Desorption Ionization Time of Flight in Medical Intensive Care Unit Beni-Suef University Hospital', EKB Journal Management System, 30(3), pp. 65-69.
Mohamed, M. The Identification of Microbial Pathogens Using Matrix Assisted Laser Desorption Ionization Time of Flight in Medical Intensive Care Unit Beni-Suef University Hospital. EKB Journal Management System, 2021; 30(3): 65-69.

The Identification of Microbial Pathogens Using Matrix Assisted Laser Desorption Ionization Time of Flight in Medical Intensive Care Unit Beni-Suef University Hospital

Egyptian Journal of Medical Microbiology
Article 9, Volume 30, Issue 3, July 2021, Page 65-69  XML PDF (341.63 K)
Document Type: New and original researches in the field of Microbiology.
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Author
Marwa Nabil Mohamed email
General Directorate of Infection Control, Ministry of Health and Population
Abstract
Background: Matrix Assisted Laser Desorption Ionization Time of Flight (MALDI-TOF) is a novel technique for identification of microbes. This new method led to a new era in microbial identification because of its rapid, accurate, valid, simple and relatively decreased cost. Objectives: The aim of this study was identification of predominant pathogens by MALDI-TOF technique. Methodology: Pathogens were identified by both conventional methods and MALDI-TOF. Results: From July till December 2018, predominant pathogens were Klebsiella pneumoniae (21%), Pseudomonas aeroguinosa and Candida each constitutes (17%), E-coli (10%), Staph. aureus (9%), Acinetobacter (9%). Identification of isolates (from September to December 2018) by MALDI-TOF revealed a total agreement of (94.1%) with conventional method at genus level, (88.2%) at level of species. Kappa agreement revealed almost perfect correlation between both techniques. Conclusion: The MALDI-TOF results might suggest that its’ usage may be dependable for microbiological identification.
Keywords
MALDI -TOF; Microbiological Identification; Conventional Methods
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