基于NIR-SERS技术结合统计分析肺癌氧合血红蛋白  

Investigations on NIR-SERS Spectra of Oxyhemoglobin for Lung Cancer Based on NIR-SERS Substrate

作　　者：高飞[1] 熊洋[2] 张明[1] 朱绍玲[3] 

机构地区：[1]遵义医学院基础医学院,贵州遵义563003 [2]楚雄师范学院光谱技术应用研究所,云南楚雄675000 [3]遵义医学院附属医院检验科,贵州遵义563000

出　　处：《光谱学与光谱分析》2017年第2期441-445,共5页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目(13064001);遵义医学院硕士启动基金项目(F-723)资助

摘　　要：基于新型、高效、生物兼容性近红外表面增强拉曼散射(NIR-SERS)基底,采用共焦光路设计的便携式拉曼光谱仪,对25例肺癌患者和25例健康人的氧合血红蛋白进行NIR-SERS光谱检测,再对两者NIR-SERS光谱的谱峰强度和谱峰位置进行分析研究。发现两者的NIR-SERS光谱的谱峰强度在一定区域存在较明显的差异性,在473,816和1 583cm^(-1)处健康人的光谱的谱峰强度比肺癌患者要大,健康人氧合血红蛋白平均NIR-SERS光谱在1 208和1 425cm^(-1)谱峰处时,肺癌患者分别蓝移到1 212和1 432cm^(-1),健康人氧合血红蛋白平均NIR-SERS光谱在1 583cm^(-1)的谱峰处,肺癌患者红移到1 579cm^(-1)。采用主成分(PCA)分析和独立变量T检验统计分析方法得出NIR-SERS光谱在主成分得分PC3,PC4和PC9处具有显著差异,并通过PCA得分二维、三维散点图可以将健康人和肺癌患者区分,诊断的特异性为88%,灵敏度为80%,总判别正确率为84%。通过谱峰归属分析,两者的NIR-SERS光谱存在显著差异与氧合血红蛋白吡咯环和乙烯基团(C_aC_m)的振动有关。该研究为肺癌的SERS光谱技术诊断提供了实验依据,NIR-SERS技术有望发展成为一种新型的临床辅助诊断工具。Based on new type,efficient and biological compatible near infrared surface enhanced Raman scattering（NIR usedSERS）,the oxyhemoglobin of healthy people and patients with lung cancer were studied with NIR-SERS spectra.The study found that the NIR-SERS spectra have evident differences in certain areas,using principal component analysis（PCA）and independent variable T test statistical analysis method,NIR-SERS spectra in the principal component scores PC3,PC4 and PC9has significant differences,and through the PCA score 2dand 3dscatterplot can differentiate healthy people and patients with lung cancer.The diagnostic specificity was 88% while the result of sensitivity was 80%,with total discriminant accuracy of 84%.Through the attribution analysis,significant differences both used NIR-SERS spectra is related to the vibration of oxygenated hemoglobin and vinyl pyrrole ring groups（CaCm）.The study provides experimental basis for lung cancer SERS spectroscopy diagnosis,NIR-SERS technology is expected to become a kind of new clinical auxiliary diagnosis tool.

关 键 词：肺癌 氧合血红蛋白 近红外表面增强拉曼散射 

分 类 号：O433.4[机械工程—光学工程]