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

Journal of Chemical and Pharmaceutical Research
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Original Articles Open Access

Abstract

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.

To read the full article Peer-reviewed Article PDF image

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

Keywords

fluorescence spectroscopy, serum, lung cancer, lung cancer

 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords