表面增强拉曼光谱已经展示了其在低浓度体液的检测方面的优势。 对21例肺癌患者和22例正常人的唾液进行了检测和区分。 肺癌患者在多处波数位的峰强较正常人有所下降, 只有少数峰强度上升且幅度较小。 这些峰主要归属为蛋白质和核酸, 表明肺癌患者唾液中这些成分的含量较正常人为少。 主成分分析法(PCA)和线性辨别分析(LDA)被用于两组数据的降维和区分, 所得结果准确度为84%, 灵敏度为94%, 特异性为81%。

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.