基于表面增强拉曼光谱检测技术的肺癌早期诊断研究  

Study on Diagnosis of Lung Cancer by Surface Enhanced Raman Spectroscopy on Human Saliva

作　　者：王艳[1] 崔子健[1] 王燕[1] 郑文新[1] 刘春伟 郭浔 汪泓 陈安宇[1] 

机构地区：[1]首都医科大学生物医学工程学院,北京100069 [2]美国欧普图斯公司

出　　处：《光散射学报》2013年第1期35-41,共7页The Journal of Light Scattering

基　　金：北京市教育委员会科技计划重点项目(KZ201010025018);国家自然科学基金(81101641)

摘　　要：表面增强拉曼光谱技术是近年来快速发展的一种痕量特征标记性物质检测技术,以提高检测灵敏度为目的的表面增强拉曼光谱技术非常适合于生命科学研究。本文利用表面增强拉曼光谱技术对肺癌患者及正常人的唾液样本进行检测,并进行光谱分析,建立了肺癌患者唾液样本的实验模型,对该模型系统分析可为肺癌诊断提供辅助依据。统计学分析效果良好,并发现了分类比较明确的特异性波段1015cm-1～1070cm-1和1250cm-1～1280cm-1。在找出的12个特征峰的基础上应用K-均值方法验证了其判别准确性,结果提示提取的12个特征峰有一定的代表性,能够代表近2000个波数的拉曼光谱图,灵敏度较特异度高,说明该方法适合预防性筛查工作。Surface Enhanced Raman Spectroscopy （SERS） is a trace amount substance detecting technique developing quickly in recent years. In this paper, surface-enhanced Ra- man spectroscopy for detection of lung cancer patients and normal saliva samples, established the experimental model of the saliva samples of patients with lung cancer by spectral analysis, the model systems analysis can provide supplementary evidence for the diagnosis of lung cancer. Statistical analysis obtained good results, and found a relatively clear clas- sification of the specific band of 1015 cm-1-1070 cm-1 and 1250 cm-1-1280 cm-1. Veri- fy its discriminant accuracy of the 12 peaks identified on the basis of the K-means method, the results prompted to extract the 12 peaks, a certain representation, on behalf of nearly 2000 wave number Raman spectra, higher sensitivity than the specificity, indicating thatthe method is suitable for the preventive screening.

关 键 词：表面增强拉曼光谱 唾液 肺癌诊断 

分 类 号：O433.3[机械工程—光学工程] R331[理学—光学]