Research Papers: Sensing

Spectral analysis of human saliva for detection of lung cancer using surface-enhanced Raman spectroscopy

[+] Author Affiliations
Xiaozhou Li, Tianyue Yang

Shenyang Ligong University, School of Science, Hunnan District, Shenyang, Liaoning, China

Junxiu Lin

Dalian University of Technology, School of Physics and Optoelectronic Engineering, Ganjingzi District, Dalian, Liaoning, China

J. Biomed. Opt. 17(3), 037003 (Mar 19, 2012). doi:10.1117/1.JBO.17.3.037003
History: Received June 24, 2011; Revised November 30, 2011; Accepted January 9, 2012
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Abstract.  Surface-enhanced Raman spectroscopy (SERS) has been shown to be able to detect low-concentration biofluids. Saliva SERS readings of 21 lung cancer patients and 20 normal people were measured and differentiated. Most of the Raman peak intensities decrease for lung cancer patients compared with that of normal people. 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 reduce and discriminate between the two groups of data, and the study resulted in accuracy, sensitivity, and specificity being 80%, 78%, and 83%, respectively. In conclusion, SERS of saliva showed the ability to predict lung cancer in our experiment.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Xiaozhou Li ; Tianyue Yang and Junxiu Lin
"Spectral analysis of human saliva for detection of lung cancer using surface-enhanced Raman spectroscopy", J. Biomed. Opt. 17(3), 037003 (Mar 19, 2012). ; http://dx.doi.org/10.1117/1.JBO.17.3.037003


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