• Spectroscopy and Spectral Analysis
  • Vol. 32, Issue 2, 391 (2012)
LI Xiao-zhou1、2、*, YANG Tian-yue1, and DING Jian-hua2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2012)02-0391-03 Cite this Article
    LI Xiao-zhou, YANG Tian-yue, DING Jian-hua. Surface Enhanced Raman Spectroscopy (SERS) of Saliva for the Diagnosis of Lung Cancer[J]. Spectroscopy and Spectral Analysis, 2012, 32(2): 391 Copy Citation Text show less

    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.
    LI Xiao-zhou, YANG Tian-yue, DING Jian-hua. Surface Enhanced Raman Spectroscopy (SERS) of Saliva for the Diagnosis of Lung Cancer[J]. Spectroscopy and Spectral Analysis, 2012, 32(2): 391
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