Distinguishing Cancerous Liver Cells Using Surface-Enhanced Raman Spectroscopy

Jing Huang; Shupeng Liu; Zhenyi Chen; Na Chen; Fufei Pang; Tingyun Wang

doi:10.1177/1533034614561358

Distinguishing Cancerous Liver Cells Using Surface-Enhanced Raman Spectroscopy

Technol Cancer Res Treat. 2016 Feb;15(1):36-43. doi: 10.1177/1533034614561358. Epub 2014 Nov 28.

Authors

Jing Huang¹, Shupeng Liu², Zhenyi Chen¹, Na Chen¹, Fufei Pang¹, Tingyun Wang¹

Affiliations

¹ Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, PR China.
² Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, PR China Institute of Biomedical Engineering, Shanghai University, Shanghai, PR China liusp@shu.edu.cn.

PMID: 25432931
DOI: 10.1177/1533034614561358

Abstract

Raman spectroscopy has been widely used in biomedical research and clinical diagnostics. It possesses great potential for the analysis of biochemical processes in cell studies. In this article, the surface-enhanced Raman spectroscopy (SERS) of normal and cancerous liver cells incubated with SERS active substrates (gold nanoparticle) was measured using confocal Raman microspectroscopy technology. The chemical components of the cells were analyzed through statistical methods for the SERS spectrum. Both the relative intensity ratio and principal component analysis (PCA) were used for distinguishing the normal liver cells (QSG-7701) from the hepatoma cells (SMMC-7721). The relative intensity ratio of the Raman spectra peaks such as I937/I1209, I1276/I1308, I1342/I1375, and I1402/I1435 was set as the judge boundary, and the sensitivity and the specificity using PCA method were calculated. The results indicated that the surface-enhanced Raman spectrum could provide the chemical information for distinguishing the normal cells from the cancerous liver cells and demonstrated that SERS technology possessed the possible applied potential for the diagnosis of liver cancer.

Keywords: SERS; cancerous liver cells; gold nanoparticles.

Publication types

Comparative Study
Research Support, Non-U.S. Gov't

MeSH terms

Carcinoma, Hepatocellular / diagnosis*
Cell Line, Tumor
Gold / chemistry
Humans
Liver Neoplasms / diagnosis*
Metal Nanoparticles / chemistry
Particle Size
Principal Component Analysis
Spectrum Analysis, Raman

Substances

Gold