Abstract
This paper reports a proof-of-principle study aimed at discriminating biological warfare (BW) simulants from common environmental bacteria in order to differentiate pathogenic endospores in situ, to aid any required response for hazard management. We used FTIR spectroscopy combined with multivariate analysis; FTIR is a versatile technique for the non-destructive analysis of a range of materials. We also report an evaluation of multiple pre-processing techniques and subsequent differences in cross-validation accuracy of two pattern recognition models (Support Vector Machines (SVM) and Principal Component-Linear Discriminant Analysis (PC-LDA)) for two classifications: a two class classification (Gram + ve spores vs. Gram -ve vegetative cells) and a six class classification (bacterial classification). Six bacterial strains Bacillus atrophaeus, Bacillus thuringiensis var. kurstaki, Bacillus thuringiensis, Escherichia coli, Pantaeoa agglomerans and Pseudomonas fluorescens were analysed.
Original language | English |
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Title of host publication | Proceedings of SPIE |
Subtitle of host publication | Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIII |
Place of Publication | Bellingham, Washington USA |
Number of pages | 8 |
Volume | 8358 |
DOIs | |
Publication status | Published - 3 Dec 2012 |
Event | Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIII - Baltimore, MD, United Kingdom Duration: 24 Apr 2012 → 27 Apr 2012 |
Conference
Conference | Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIII |
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Country/Territory | United Kingdom |
City | Baltimore, MD |
Period | 24/04/12 → 27/04/12 |
Keywords
- bacteria
- biological warfare
- infrared spectroscopy
- pre-processing
- Surface deposited. Bacillus