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Nanomaterials 2017, 7(9), 248; doi:10.3390/nano7090248

Characterization and Discrimination of Gram-Positive Bacteria Using Raman Spectroscopy with the Aid of Principal Component Analysis

1
National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania
2
Faculty of Physics, Babeş-Bolyai University, 1 Kogălniceanu, 400084 Cluj-Napoca, Romania
3
Department of Food Science, University of Agricultural Science and Veterinary Medicine, 3-5 Calea Mănăştur, 400372 Cluj-Napoca, Romania
4
Faculty of Biology and Geology, Babeș-Bolyai University, 44 Republicii, 400015 Cluj-Napoca, Romania
*
Author to whom correspondence should be addressed.
Received: 14 July 2017 / Revised: 27 August 2017 / Accepted: 28 August 2017 / Published: 1 September 2017
(This article belongs to the Special Issue Nanomaterials for SERS Applications)
View Full-Text   |   Download PDF [3380 KB, uploaded 1 September 2017]   |  

Abstract

Raman scattering and its particular effect, surface-enhanced Raman scattering (SERS), are whole-organism fingerprinting spectroscopic techniques that gain more and more popularity in bacterial detection. In this work, two relevant Gram-positive bacteria species, Lactobacillus casei (L. casei) and Listeria monocytogenes (L. monocytogenes) were characterized based on their Raman and SERS spectral fingerprints. The SERS spectra were used to identify the biochemical structures of the bacterial cell wall. Two synthesis methods of the SERS-active nanomaterials were used and the recorded spectra were analyzed. L. casei and L. monocytogenes were successfully discriminated by applying Principal Component Analysis (PCA) to their specific spectral data. View Full-Text
Keywords: Gram-positive bacteria; L. casei; L. monocytogenes; Raman scattering; SERS; silver nanoparticles Gram-positive bacteria; L. casei; L. monocytogenes; Raman scattering; SERS; silver nanoparticles
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Colniță, A.; Dina, N.E.; Leopold, N.; Vodnar, D.C.; Bogdan, D.; Porav, S.A.; David, L. Characterization and Discrimination of Gram-Positive Bacteria Using Raman Spectroscopy with the Aid of Principal Component Analysis. Nanomaterials 2017, 7, 248.

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