@inproceedings{451bf1789aea4765bb268f9c14d2221d,
title = "Differentiation of mixed bacteria samples in the generic level using infrared spectroscopy and multivariate analysis",
abstract = "In the present study we examined the potential of Fourier Transformed Infrared (FTIR) spectroscopy for accurate identification and differentiation of mixed bacteria samples in a time span of a few minutes. The bacterial samples used in this study are Escherichia (E.) coli, Bacillus (B.) megaterium and a mixture of E. coli and B. megaterium. The best results of differentiation were obtained within the 675-1800 cm-1 range. In this range the dimension of the feature vector is 293. Principal components analysis (PCA) followed by linear discriminant analysis (LDA) as a linear classifier were performed on the spectra of the three measured classes. When differentiating between the pure sets of E. coli and B. megaterium, 100% success was obtained for a feature vector composed of the first 12 principal components (PCs). An error rate of less than 2% was achieved taking only the first 20 PCs among the three categories of samples.",
keywords = "Bacteria, IR spectroscopy, LDA, Multivariate analysis, PCA",
author = "A. Salman and E. Shufan and M. Huleihel and I. Lapidot",
note = "Publisher Copyright: {\textcopyright} Copyright 2015 IEEE All rights reserved.; 2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 ; Conference date: 03-12-2014 Through 05-12-2014",
year = "2014",
month = jan,
day = "1",
doi = "10.1109/EEEI.2014.7005863",
language = "English",
series = "2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014",
address = "United States",
}