Paper
28 October 2009 Raman spectra and discrimination of NPC cell line CNE1 and normal nasopharyngeal cell line NP69
Yang Chen, Yong-zeng Li, Ying Su, Ju-qiang Lin, Jian-ji Pan, Rong Chen, Chang-yan Zou, Shaojun Lin, Chao Li
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Abstract
As a non-destructive and non-invasive technique, Raman spectroscopy (RS) plays an important role in the field of biomedical research. Great progress has been made in the research of biological samples from cellular level to macro-tissues. In this letter, advances of RS in tumor cells and some statistic algorithm developed in recent years for cancer differentiation and diagnosis are introduced. Also, Raman spectra of Nasopharyngeal Carcinoma (NPC) cell line CNE1 and normal nasopharyngeal cell line NP69 are acquired by confocal Raman micro-spectroscopy system. Raman bands are analyzed and compared to investigate the differences and relationship between CNE1 and NP69, Principle Components Analysis (PCA) is used to classify CNE1 and NP69 accurately with an accuracy of 100%. Comparing with CNE1, a blue-shift is observed in NP69 cells at band 936cm-1 and 2935cm-1 which are assigned to C-C stretch and CH3 stretching, respectively. Meanwhile, a red-shift is observed at 1338cm-1 assigned to A, G and C-H deformation vibration of protein. The results show that Raman spectroscopy has its potential and reliability to be one of the diagnostic methods for NPC and at the same time can provide valuable information for cancer early diagnosis.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Chen, Yong-zeng Li, Ying Su, Ju-qiang Lin, Jian-ji Pan, Rong Chen, Chang-yan Zou, Shaojun Lin, and Chao Li "Raman spectra and discrimination of NPC cell line CNE1 and normal nasopharyngeal cell line NP69", Proc. SPIE 7519, Eighth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2009), 75191E (28 October 2009); https://doi.org/10.1117/12.843936
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Cited by 2 scholarly publications.
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KEYWORDS
Raman spectroscopy

Proteins

Remote sensing

Principal component analysis

Cancer

Statistical analysis

Glasses

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