Title |
Evaluación de la espectrometría de masas: MALDI-TOF MS para la identificación rápida y confiable de levaduras
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Published in |
Revista Argentina de Microbiología, April 2015
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DOI | 10.1016/j.ram.2015.02.004 |
Pubmed ID | |
Authors |
María S. Relloso, Jimena Nievas, Santiago Fares Taie, Victoria Farquharson, María T. Mujica, Vanesa Romano, Mariela S. Zarate, Jorgelina Smayevsky |
Abstract |
The matrix-assisted laser desorption/ionization time-of-flight mass spectrometry technique known as MALDI-TOF MS is a tool used for the identification of clinical pathogens by generating a protein spectrum that is unique for a given species. In this study we assessed the identification of clinical yeast isolates by MALDI-TOF MS in a university hospital from Argentina and compared two procedures for protein extraction: a rapid method and a procedure based on the manufacturer's recommendations. A short protein extraction procedure was applied in 100 isolates and the rate of correct identification at genus and species level was 98.0%. In addition, we analyzed 201 isolates, previously identified by conventional methods, using the methodology recommended by the manufacturer and there was 95.38% coincidence in the identification at species level. MALDI TOF MS showed to be a fast, simple and reliable tool for yeast identification. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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France | 1 | <1% |
Unknown | 114 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 28 | 24% |
Student > Master | 15 | 13% |
Other | 8 | 7% |
Student > Postgraduate | 6 | 5% |
Student > Doctoral Student | 5 | 4% |
Other | 9 | 8% |
Unknown | 44 | 38% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 17 | 15% |
Medicine and Dentistry | 14 | 12% |
Agricultural and Biological Sciences | 12 | 10% |
Immunology and Microbiology | 5 | 4% |
Chemistry | 5 | 4% |
Other | 16 | 14% |
Unknown | 46 | 40% |