Saliva analysis combining membrane protein purification with surface-enhanced Raman spectroscopy for nasopharyngeal cancer detection

A method for saliva analysis combining membrane protein purification with silver nanoparticle-based surface-enhanced Raman spectroscopy (SERS) for non-invasive nasopharyngeal cancer detection was present in this paper. In this method, cellulose acetate membrane was used to obtain purified whole prot...

Full description

Saved in:
Bibliographic Details
Published in:Applied physics letters 2014-02, Vol.104 (7)
Main Authors: Feng, Shangyuan, Lin, Duo, Lin, Juqiang, Huang, Zufang, Chen, Guannan, Li, Yongzeng, Huang, Shaohua, Zhao, Jianhua, Chen, Rong, Zeng, Haishan
Format: Article
Language:English
Subjects:
Applied physics
Cancer
Cellulose acetate
Diagnostic systems
Discriminant analysis
Nanoparticles
Principal components analysis
Proteins
Purification
Raman spectroscopy
Saliva
Spectrum analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A method for saliva analysis combining membrane protein purification with silver nanoparticle-based surface-enhanced Raman spectroscopy (SERS) for non-invasive nasopharyngeal cancer detection was present in this paper. In this method, cellulose acetate membrane was used to obtain purified whole proteins from human saliva while removing other native saliva constituents and exogenous substances. The purified proteins were mixed with silver nanoparticle for SERS analysis. A diagnostic accuracy of 90.2% can be achieved by principal components analysis combined with linear discriminate analysis, for saliva samples obtained from patients with nasopharyngeal cancer (n = 62) and healthy volunteers (n = 30). This exploratory study demonstrated the potential for developing non-invasive, rapid saliva SERS analysis for nasopharyngeal cancer detection.
ISSN:0003-6951
1077-3118
DOI:10.1063/1.4866027