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https://doi.org/10.3938/NPSM.67.665
Biomedical Application of Raman Spectroscopy
New Physics: Sae Mulli 2017; 67: 665~678
Published online June 30, 2017;  https://doi.org/10.3938/NPSM.67.665
© 2017 New Physics: Sae Mulli.

Gyeong Bok JUNG*

Department of Physics Education, Chosun University, Gwangju 61452, Korea
Correspondence to: marie-jung@hanmail.net
Received February 23, 2017; Revised March 30, 2017; Accepted April 3, 2017.
cc This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Raman spectroscopy has attracted great interest as a powerful analytical tool that can be used to detect changes in the structure and the composition of biological samples (cells, tissues, biofluids, etc.) at the molecular level. Its high sensitivity and specificity, a small amount of sample preparation, and non- or minimally-invasive use have recently led to an increase in the number of biomedical applications of Raman spectroscopy. This paper reviews the recent biomedical applications of Raman spectroscopy, which are considered to be multi-functional and powerful toolkits for probing the biochemical properties of biomedical samples in medical science. The basic principles of Raman spectroscopy and surface-enhanced Raman scattering (SERS) are briefly introduced. Furthermore, the biomedical applications of Raman spectroscopy, including diagnostic assessment (orthodontic tooth movement), pharmacotherapy (antibiotic effect, cytotoxicity of tissue adhesive), medical device therapy (collagen cross-linking treatment for the restrain of progressive myopia), and finally in-vivo Raman diagnosis, are described.  
PACS numbers: 74.25.nd, 87.57.R-, 42.62.Be, 87.15.M-, 87.14.em
Keywords: Raman spectroscopy, Surface-enhanced raman scattering (SERS), Diagnosis, Cells, Tissue


October 2018, 68 (10)
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