Traditional approaches versus mass spectrometry in bacterial identification and typing
| Autor: | Keding Cheng, Gehua Wang, Angela Sloan |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Chromatography Bacteria Chemistry Fast speed 030106 microbiology Biochemistry (medical) Clinical Biochemistry General Medicine Computational biology Mass spectrometry Biochemistry Mass Spectrometry Bacterial Typing Techniques 03 medical and health sciences Clinical microbiology 030104 developmental biology Typing |
| Zdroj: | Clinica Chimica Acta. 473:180-185 |
| ISSN: | 0009-8981 |
| DOI: | 10.1016/j.cca.2017.08.035 |
| Popis: | Biochemical methods such as metabolite testing and serotyping are traditionally used in clinical microbiology laboratories to identify and categorize microorganisms. Due to the large variety of bacteria, identifying representative metabolites is tedious, while raising high-quality antisera or antibodies unique to specific biomarkers used in serotyping is very challenging, sometimes even impossible. Although serotyping is a certified approach for differentiating bacteria such as E. coli and Salmonella at the subspecies level, the method is tedious, laborious, and not practical during an infectious disease outbreak. Mass spectrometry (MS) platforms, especially matrix assisted laser desorption and ionization-time of flight mass spectrometry (MALDI-TOF-MS), have recently become popular in the field of bacterial identification due to their fast speed and low cost. In the past few years, we have used liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based approaches to solve various problems hindering serotyping and have overcome some insufficiencies of the MALDI-TOF-MS platform. The current article aims to review the characteristics, advantages, and disadvantages of MS-based platforms over traditional approaches in bacterial identification and categorization. |
| Databáze: | OpenAIRE |
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