摘要
采用二维纳米结构银膜作为基底,检测了30例肝癌患者和30例健康人氧合血红蛋白表面增强拉曼散射(SERS)谱。利用主成分分析(PCA)结合独立变量t检验建立SERS光谱诊断多元统计算法模型,并用判别分析方法对此统计算法的诊断效果进行评价。实验结果表明,肝癌患者与健康人氧合血红蛋白SERS光谱有明显区别。采用PCA分析结合独立变量t检验统计分析方法得出SERS光谱PCA得分三维散点图可以很好的区分健康人和肝癌患者。利用判别分析方法得出该统计算法诊断肝癌的特异性和灵敏度分别为90%和96.7%,总判别正确率为93.3%。与健康人相比,肝癌患者氧合血红蛋白中吡咯环的呼吸振动模式的数量、酪氨酸和苯丙氨酸的含量相对偏低。研究结果表明,氧合血红蛋白SERS光谱统计分析有望发展成为一种新型的肝癌诊断工具。
Investigation of surface-enhanced Raman spectra of oxyhemoglobin for 30 liver cancers and 30 normal persons based on the silver nanofilm was reported.Principal components analysis（PCA） and independent variable T test were employed to develop effective diagnostic algorithms for distinguishing liver cancer form normal.Discriminant analysis was used to evaluate the diagnostic efficiency and the result indicates that SERS spectra of the oxyhemoglobin are obviously different between normal persons and liver cancers.PCA and independent variable T test were employed to get a three-dimensional scatter plot of PC scores for the healthy and cancer groups,and it can be learned that they are distributed in separate areas.By using the method of discriminate analysis,it was fount that the diagnostic algorithm separates the two groups with sensitivity of 96.7% and diagnostic specificity of 90%,the overall diagnostic accuracy was 93.3%.By analyzing the assignations of the SERS bands,it was found that the content of asparagine,tyrosine and phenylalanine in the hemoglobin are significantly lower than healthy people.The results from this exploratory study demonstrate that SERS detection of oxyhemoglobin for liver cancers based on the method of PCA combined with independent variable T test is expected to develop into a new type of liver cancer diagnostic tool.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2012年第9期2427-2432,共6页
Spectroscopy and Spectral Analysis
基金
国家自然科学基金项目(11064001
10864001)
云南省科技厅项目(2008ZC159M)资助
