2017
DOI: 10.3390/nano7090248
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Characterization and Discrimination of Gram-Positive Bacteria Using Raman Spectroscopy with the Aid of Principal Component Analysis

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 synth… Show more

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Cited by 36 publications
(21 citation statements)
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“…The large enhancement of this vibrational mode indicates that adsorption of AMP onto the Ag surface is through the purine moiety. Similar results were obtained using this methodology to obtain SERS spectra of Gram-positive bacteria [ 42 ].…”
Section: Resultssupporting
confidence: 75%
“…The large enhancement of this vibrational mode indicates that adsorption of AMP onto the Ag surface is through the purine moiety. Similar results were obtained using this methodology to obtain SERS spectra of Gram-positive bacteria [ 42 ].…”
Section: Resultssupporting
confidence: 75%
“…It is not surprising that the SERS spectrum of bacteria exhibits vibrational bands which are also common in the spectra of biological tissues and cells [25]. As depicted in Figure 6 the new band obtained 1050 cm −1 can be attributed to the vibrations of some sugars or amino sugars located in the membrane [26]. This finding can be explained by the fact that the cell membranes contain various carbohydrates.…”
Section: Resultsmentioning
confidence: 99%
“…For example, Lactobacillus casei and Listeria monocytogenes were successfully discriminated by applying them to their specific spectral data. [121] Avci et al analyzed the spectral changes of seven different UTI-related bacteria at different growth stages, and the sources of spectral bands were described in detail. The results showed that regardless of the growth stage of the bacteria, all species could be distinguished using this PCA method.…”
Section: Data Processing Methods Combined With Sers Bacterial Detectionmentioning
confidence: 99%