应用表面增强拉曼散射(SERS)光谱技术,以Ag纳米粒子为基底,对24例食管癌患者及20例健康人的血红蛋白样本进行了检测,并采用主成分分析(PCA)与判别分析方法对检测到的光谱数据进行分析。实验得到食管癌患者与健康人血红蛋白SERS光谱存在的区别反映了两组血红蛋白内部物质的含量差异,结果显示,与健康人相比,食管癌患者的血红蛋白中有更多的亚铁离子处于低自旋态。统计分析方法所得的光谱峰值PC得分的三维散点图对食管癌患者与健康人区别也较明显。本文方法的总准确率为91%,诊断灵敏度为96%,诊断特异性为85%。结果表明,通过血红蛋白SERS光谱的检测和统计分析,可为早期食管癌的诊断提供依据。
Early diagnosis is significant for the treatment of esophageal cancer. Surface enhanced Raman scattering(SERS) spectroscopy has been applied in this article to detect the spectra for hemoglobin from 24 esophageal cancer patients and 20 healthy persons, while silver colloid is used as the SERS substrate. Principal component analysis (PCA) and discriminate analysis are employed to analyze the spectra of the two groups. From the SERS spectra in this experiment,it could be found that there are some differences between the spectra of the hemoglobin from the esophageal cancer patients and the healthy persons, which may be caused by the different concentrations of substances in the hemoglobin. The results dem- onstrate that compared with the healthy persons, there are more iron ions at low spin state in the hemo- globin of esophageal cancer patients. The three-dimensional scatter plot of PC scores got by statistical analysis shows a good discrimination for the health and cancer groups as they distribute in relatively separate areas. The diagnosis sensitivity is 96%, the diagnosis specificity is 85%, and the total accuracy of this method is 91%. The results show good potential for early diagnose of esophageal cancer by statistical analysis of SERS spectra of hemoglobin.