A simple and rapid detection of tissue adhesive-induced biochemical changes in cells and DNA using Raman spectroscopy

Jung, Gyeong Bok; Lee, Young Ju; Lee, Gihyun; Park, Hun-Kuk

doi:10.1364/boe.4.002673

Cited by 28 publications

(31 citation statements)

References 35 publications

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“…This result might indicate denaturation and conformational changes in proteins related to cell death. It was previously proposed that decrease of these Raman intensity were related to the denaturation and conformational changes of proteins, which correlated with the cell death [43][44][45] The reduction of Raman intensity corresponding to DNA, such as the bands at 780 and 1100 cm −1 , arose from the destruction of the ring structure, indicating degradation of the DNA. It indicates another evidence for cell death.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of antibiotic effects on Pseudomonas aeruginosa biofilm using Raman spectroscopy and multivariate analysis

Jung

Nam

Choi

et al. 2014

Biomed. Opt. Express

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Abstract:We investigate the mode of action and classification of antibiotic agents (ceftazidime, patulin, and epigallocatechin gallate; EGCG) on Pseudomonas aeruginosa (P. aeruginosa) biofilm using Raman spectroscopy with multivariate analysis, including support vector machine (SVM) and principal component analysis (PCA). This method allows for quantitative, label-free, non-invasive and rapid monitoring of biochemical changes in complex biofilm matrices with high sensitivity and specificity. In this study, the biofilms were grown and treated with various agents in the microfluidic device, and then transferred onto gold-coated substrates for Raman measurement. Here, we show changes in biochemical properties, and this technology can be used to distinguish between changes induced in P. aeruginosa biofilms using three antibiotic agents. The Raman band intensities associated with DNA and proteins were decreased, compared to control biofilms, when the biofilms were treated with antibiotics. Unlike with exposure to ceftazidime and patulin, the Raman spectrum of biofilms exposed to EGCG showed a shift in the spectral position of the CH deformation stretch band from 1313 cm −1 to 1333 cm −1 , and there was no difference in the band intensity at 1530 cm −1 (C = C stretching, carotenoids). The PCA-SVM analysis results show that antibiotic-treated biofilms can be detected with high sensitivity of 93.33%, a specificity of 100% and an accuracy of 98.33%. This method also discriminated the three antibiotic agents based on the cellular biochemical and structural changes induced by antibiotics with high sensitivity and specificity of 100%. This study suggests that Raman spectroscopy with PCA-SVM is potentially useful for the rapid identification and classification of clinically-relevant antibiotics of bacteria biofilm. Furthermore, this method could be a powerful approach for the development and screening of new antibiotics.

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Section: Resultsmentioning

confidence: 99%

Evaluation of antibiotic effects on Pseudomonas aeruginosa biofilm using Raman spectroscopy and multivariate analysis

Jung

Nam

Choi

et al. 2014

Biomed. Opt. Express

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“…Using the intensity of a single Raman band, Deng et al measured the effect of alcohol exposure on red blood cells [463] and Huang et al measured concentrations of citric acid in plasma [464]. Using multiple bands, Jung et al measured changes in DNA after cell adhesion [465] and Lee et al measured changes in DNA during apoptosis [466].…”

Section: Direct Peak Analysismentioning

confidence: 99%

Raman spectroscopy: techniques and applications in the life sciences

Shipp¹,

Sinjab²,

Notingher³

2017

Adv. Opt. Photon.

255

189

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Raman spectroscopy is an increasingly popular technique in many areas including biology and medicine.It is based on Raman scattering, a phenomenon in which incident photons lose or gain energy via interactions with vibrating molecules in a sample. These energy shifts can be used to obtain information regarding molecular composition of the sample with very high accuracy. Applications of Raman spectroscopy in the life sciences have included quantification of biomolecules, hyperspectral molecular imaging of cells and tissue, medical diagnosis, and others. This review briefly presents the physical origin of Raman scattering explaining the key classical and quantum mechanical concepts. Variations of the Raman effect will also be considered, including resonance, coherent, and enhanced Raman scattering. We discuss the molecular origins of prominent bands often found in the Raman spectra of biological samples. Finally, we examine several variations of Raman spectroscopy techniques in practice, looking at their applications, strengths, and challenges. This review is intended to be a starting resource for scientists new to Raman spectroscopy, providing theoretical background and practical examples as the foundation for further study and exploration.

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“…The spectral intensity of cancer patients' showed higher Raman counts compared with that of the normal subjects. [29,40,47] Vibrational peak at 477 cm À1 is assigned to the anti-symmetric stretching vibration of PO3 4À . [44] The dominant Raman band observed for normal urine at 1002 cm À1 is due to the ring breathing modes of phenylalanine.…”

Section: Resultsmentioning

confidence: 99%

“…This band appears to be blue shifted by 5 cm À1 for the urine of cancer patients compared with the normal subjects, and the peak at 1034 cm À1 is assigned to the C-H in-plane vibration of phenylalanine. [29,47] Raman peak at 798 cm À1 , which may be assigned to the vibration of flavins in urine, is seen both in cancer and normal subjects, but with elevated in intensity for the case of cancer patients.…”

Section: Resultsmentioning

confidence: 99%

Raman spectroscopic characterization of urine of normal and oral cancer subjects

Brindha

Aruna

Bharanidharan

et al. 2014

J Raman Spectroscopy

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Urine is considered as one of the diagnostically important bio fluids, as it has many metabolites. The distribution and the physiochemical properties of the metabolites may vary during any altered metabolic and pathological conditions. Raman spectroscopy was employed in the characterization of the metabolites of human urine of normal subjects and oral cancer patients in the finger print region (500-1800 cm À1 ). Principal component analysis-based linear discriminant analysis was performed to discriminate cancer patients from normal subjects. The discriminant analysis classifies the cancer patients from normal subjects with a sensitivity and specificity of 98.6% and 87.1%, respectively, with an overall accuracy of 93.7%.

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A simple and rapid detection of tissue adhesive-induced biochemical changes in cells and DNA using Raman spectroscopy

Cited by 28 publications

References 35 publications

Evaluation of antibiotic effects on Pseudomonas aeruginosa biofilm using Raman spectroscopy and multivariate analysis

Evaluation of antibiotic effects on Pseudomonas aeruginosa biofilm using Raman spectroscopy and multivariate analysis

Raman spectroscopy: techniques and applications in the life sciences

Raman spectroscopic characterization of urine of normal and oral cancer subjects

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