title: [Surface enhanced Raman spectroscopy (SERS) of saliva for the diagnosis of lung cancer].
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.
authors.affiliation: School of Science, Shenyang Ligong University, Shenyang 110159, China. biophy@163.com
authors.forename: Xiao-zhou
authors.initials: XZ
authors.lastname: Li
authors.forename: Tian-yue
authors.initials: TY
authors.lastname: Yang
authors.forename: Jian-hua
authors.initials: JH
authors.lastname: Ding
mesh_terms: D016002:Discriminant Analysis; D006801:Humans; D008175:Lung Neoplasms / Q000175:diagnosis*; D009696:Nucleic Acids; D025341:Principal Component Analysis; D012463:Saliva; D012680:Sensitivity and Specificity; D013059:Spectrum Analysis, Raman
chemical_list: D009696:Nucleic Acids