Surface Enhanced Raman Spectroscopy (SERS) of Saliva for the Diagnosis of Lung Cancer
LI Xiao-zhou1, 2, YANG Tian-yue1, DING Jian-hua2
1. School of Science, Shenyang Ligong University, Shenyang 110159, China 2. School of Physics and Optoelectronic Engineering, Dalian University of Technology, Dalian 116024, China
Abstract：Surface enhanced Raman spectroscopy (SERS) has shown the advantage of detecting low concentration biofluids presently. Saliva SERS of 21 lung cancer patients and 22 normal people were measured and differentiated in the present paper. Intensities of most peaks of lung cancer patients are weaker than that of normal people, while some stronger but with a small change rate. Those peaks were assigned to proteins and nucleic acids which indicate a corresponding decrease of those substances in saliva. Principal component analysis (PCA) and linear discriminant analysis (LDA) were used to deduce and discriminate the two groups of data, resulting in accuracy, sensitivity, and specificity being 84%, 94%, and 81%, respectively.
李晓舟1, 2，杨天月1，丁建华2 . 唾液表面增强拉曼光谱用于肺癌的诊断[J]. 光谱学与光谱分析, 2012, 32(02): 391-393.
LI Xiao-zhou1, 2, YANG Tian-yue1, DING Jian-hua2 . Surface Enhanced Raman Spectroscopy (SERS) of Saliva for the Diagnosis of Lung Cancer . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(02): 391-393.
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