Label-free detection of liver cancer based on silver nanoparticles coated tissue surface-enhanced Raman spectroscopy

被引：13
|
作者：
Lin, Kecan [1 ]
Xu, Jianshu [2 ,3 ]
Li, Ling [1 ]
Liao, Fadian [2 ,3 ]
Dong, Xianhu [2 ,3 ]
Lin, Juqiang [2 ,3 ]
机构：
[1] Fujian Med Univ, Liver Dis Ctr, Affiliated Hosp 1, Fuzhou 350005, Fujian, Peoples R China
[2] Fujian Normal Univ, MOE Key Lab Optoelect Sci & Technol Med, Fuzhou 350007, Fujian, Peoples R China
[3] Fujian Normal Univ, Fujian Prov Key Lab Photon Technol, Fuzhou 350007, Fujian, Peoples R China
来源：
LASER PHYSICS LETTERS | 2018年 / 15卷 / 12期
基金：
中国国家自然科学基金;
关键词：
surface-enhanced Raman spectroscopy (SERS); hepatocellular carcinoma; principal component analysis; linear discriminate analysis; silver nanoparticles; BREAST-CANCER; DISCRIMINATION; SERS;
D O I：
10.1088/1612-202X/aae13c
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Surface-enhanced Raman spectroscopy (SERS) was employed to obtain hepatocellular carcinoma (HCC) tissue spectra with coated silver nanoparticles. Principal component analysis (PCA) combined with linear discriminate analysis (LDA) was introduced to analyze the obtained spectra. The sensitivity and specificity of discrimination for HCC and normal group is 93.8% and 100%. While that is 79.2% and 93.8% for HCC and adjacent HCC group, this study suggests a great potential method for early HCC detection by combination of silver nanoparticles based tissue SERS and PCA-LDA analysis.
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页数：6
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