| Title: | Evaluation of a combination of SIFT-MS and multivariate data analysis for the diagnosis of Mycobacterium bovis in wild badgers |
| Author(s): | Spooner AD; Bessant C; Turner C; Knobloch H; Chambers M; |
| Address: | "Cranfield University, Cranfield, Bedfordshire, UK MK43 0AL" |
| ISSN/ISBN: | 1364-5528 (Electronic) 0003-2654 (Linking) |
| Abstract: | "The currently accepted 'gold standard' tuberculosis (TB) detection method for veterinary applications is that of culturing from a tissue sample post mortem. The test is accurate, but growing Mycobacterium bovis is difficult and the process can take up to 12 weeks to return a diagnosis. In this paper we evaluate a much faster screening approach based on serum headspace analysis using selected ion flow tube mass spectrometry (SIFT-MS). SIFT-MS is a rapid, quantitative gas analysis technique, with sample analysis times of as little as a few seconds. Headspace from above serum samples from wild badgers, captured as part of a randomised trial, was analysed. Multivariate classification algorithms were then employed to extract a simple TB diagnosis from the complex multivariate response provided by the SIFT-MS instrument. This is the first time that such multivariate analysis has been applied to SIFT-MS data. An accuracy of TB discrimination of approximately 88% true positive was achieved which shows promise, but the corresponding false positive rate of 38% indicates that there is more work to do before this approach could replace the culture test. Recommendations for future work that could increase the performance are therefore proposed" |
| Keywords: | "Algorithms Animals Animals, Wild/*blood Cattle False Positive Reactions Gases/chemistry Mass Spectrometry/methods Multivariate Analysis *Mustelidae *Mycobacterium bovis/growth & development/isolation & purification Tuberculosis/blood/diagnosis/*veterinary;" |
| Notes: | "MedlineSpooner, Andrew D Bessant, Conrad Turner, Claire Knobloch, Henri Chambers, Mark eng Evaluation Study Research Support, Non-U.S. Gov't England 2009/08/18 Analyst. 2009 Sep; 134(9):1922-7. doi: 10.1039/b905627k. Epub 2009 Jul 17" |
