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|Title:||Feasability of yeast and bacteria identification using UV-VIS-SWNIR difusive reflectance spectroscopy|
|Author(s):||Silva, João S.|
Vicente, A. A.
Teixeira, J. A.
UV-VIS-SWNIR reflectance spectroscopy
Singular value decomposition
|Publisher:||Institute for Systems and Technologies of Information, Control and Communication (INSTICC)|
|Citation:||Silva, João S.; Martins, R.; Vicente, António A.; Teixeira, José A., Feasability of yeast and bacteria identification using UV-VIS-SWNIR difusive reflectance spectroscopy. BIOSIGNALS 2008 - Proceedings of the First International Conference on Biomedical Electronics and Devices. Vol. 1, Funchal, Madeira, Portugal, Jan 28-31, 25-32, 2008. ISBN: 978-989-8111-18-0|
|Abstract(s):||UV-VIS spectroscopy is a powerfull qualitative and quantitative technique used in analytical chemistry, which gives information about electronic transitions of electrons in molecular orbitals. As in UV-VIS spectra there is no direct information on characteristic organic groups, vibrational spectroscopy (e.g. infrared) has been preferred for biological applications. In this research, we try to use state-of-the-art fiber optics probes to obtain UV-VIS-SWNIR diffusive reflectance measurements of yeasts and bacteria colonies on plate count agar in the region of 200-1200nm; in order to discriminate the following microorganisms: i) yeasts: Saccharomyces cerevisiae, Saccharomyces bayanus, Candida albicans, Yarrowia lipolytica; and ii) bacteria: Micrococcus luteus, Pseudomonas fluorescens, Escherichia coli, Bacillus cereus. Spectroscopy results show that UV-VIS-SWNIR has great potential for identifying microorganisms on plate count agar. Scattering artifacts of both colonies and plate count agar can be significantly removed using a robust mean scattering algorithm, allowing also better discriminations between the scores obtained by singular value decomposition. Hierarchical clustering analysis of UV-VIS and VIS-SWNIR decomposed spectral scores lead to the conclusion that the use of VIS-SWNIR light source produces higher discrimination ratios for all the studied microorganisms, presenting great potential for developing biotechnology applications.|
|Appears in Collections:||CEB - Artigos em Livros de Atas / Papers in Proceedings|