alexa Abstract | Discrimination of lung cancer by serum using fluorescence and principal component analysis

Journal of Chemical and Pharmaceutical Research
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The technology of laser-induced auto-fluorescence spectroscopy was used on serum for the diagnosis of lung cancer. Serum from 30 lung cancer patients and 20 healthy people were collected and measured. The results have shown that there was significant difference in the fluorescence spectroscopy between those from lung cancer patients and the controls. Then, we use principal component analysis and discriminant analysis to analyze spectra, and got an accuracy of 88% in distinguishing lung cancer patients and healthy people. Our experiment revealed that fluorescence of serum can be an indicator for the diagnosis of lung cancer.

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Author(s): Su Zhang Xiaozhou Li Tianyue Yang and Siqi Li


fluorescence spectroscopy, serum, lung cancer, lung cancer

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