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Automated High-Throughput Identification and Characterization of Clinically Important Bacteria and Fungi using Rapid Evaporative Ionization Mass Spectrometry
- Source :
- Analytical Chemistry. 88:9419-9426
- Publication Year :
- 2016
- Publisher :
- American Chemical Society (ACS), 2016.
-
Abstract
- 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.
- Subjects :
- 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
Subjects
Details
- ISSN :
- 15206882 and 00032700
- Volume :
- 88
- Database :
- OpenAIRE
- Journal :
- Analytical Chemistry
- Accession number :
- edsair.doi.dedup.....e0c3be257ecf2acea899fa6f637d23c1