Automated High-Throughput Identification and Characterization of Clinically Important Bacteria and Fungi using Rapid Evaporative Ionization Mass Spectrometry
| Autor: | Kate Hardiman, Julia Balog, Adam Burke, Monica Rebec, Zsolt Bodai, Zoltan Takats, Alvaro Perdones-Montero, Daniel Simon, Frances Bolt, Simon J S Cameron, Richard Schaffer, Tony Rickards, Tamás Karancsi |
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| Přispěvatelé: | Biotechnology and Biological Sciences Research Council (BBSRC), Micromass UK Ltd |
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Culture plates 01 natural sciences User input Mass Spectrometry Analytical Chemistry 03 medical and health sciences Ionization mass spectrometry Throughput (business) Principal Component Analysis Stochastic Processes Models Statistical Chromatography Bacteria biology Chemistry 010401 analytical chemistry Fungi Method of analysis Chemical Engineering biology.organism_classification 0104 chemical sciences Clinical microbiology 030104 developmental biology Environmental chemistry Other Chemical Sciences |
| Zdroj: | Analytical Chemistry. 88:9419-9426 |
| ISSN: | 1520-6882 0003-2700 |
| Popis: | Rapid Evaporative Ionisation Mass Spectrometry (REIMS) has been shown to quickly and accurately speciate microorganisms based upon their species-specific lipid profile. Previous work by members of this group showed that the use of a handheld bipolar probe allowed REIMS to analyse microbial cultures directly from culture plates, without any prior preparation. However, this method of analysis would likely be unsuitable for a high-throughput clinical microbiology laboratory. Here, we report on the creation of a customised platform which enables automated, high-throughput REIMS analysis, which requires minimal user input and operation; and suitable for use in clinical microbiology laboratories. The ability of this high-throughput platform to speciate clinically important microorganisms was tested through the analysis of 375 different clinical isolates, collected from distinct patient samples, from 25 microbial species. After optimisation of our data analysis approach, we achieved substantially similar results between the two REIMS approaches. For handheld bipolar probe REIMS a speciation accuracy of 96.3% was achieved, whilst for high-throughput REIMS, an accuracy of 93.9% was achieved. Thus, high-throughput REIMS offers an alternative mass spectrometry based method for the rapid and accurate identification of clinically important microorganisms in clinical laboratories without any pre-analysis preparative steps. |
| Databáze: | OpenAIRE |
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