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基于SERS技术结合多变量统计分析胃癌患者血浆拉曼光谱

, PP. 550-557

Keywords: 表面增强拉曼光谱(SERS),血浆,胃癌,诊断

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Abstract:

利用人体血浆的表面增强拉曼光谱(SERS)并结合多变量统计方法对胃癌的无损诊断分析进行了研究.检测了32例胃癌患者与33例正常健康人血浆SERS光谱,利用主成分分析(PCA)并结合线性判别分析(LDA)建立SERS光谱诊断多元统计算法模型.为验证所构建的PCA-LDA算法的有效性,将利用受试样品的工作特征(ROC)曲线方法对所构建的算法有效性进行评价.胃癌患者与正常健康人血浆SERS光谱之间的差别明显,且实验存在较好的重现性,利用PCA-LDA统计分析方法得到诊断特异性与灵敏度分别为91%与79.5%.通过SERS谱峰归属分析表明,癌症患者血浆与正常人血浆在生化成分上存在一定的差异.与正常健康人相比,胃癌患者血浆中的核酸、胶原、磷脂以及苯丙氨酸成分偏高,而氨基酸与糖类成分相对偏低.研究表明,血浆SERS光谱技术结合PCA-LDA统计分析能够很好地区分正常健康人与胃癌患者血浆.血浆表面增强拉曼光谱技术有望发展为一种无损探测与筛查胃癌的临床诊断工具.

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