Preliminary study on the quick detection of Acquired Immune Deficiency Syndrome by saliva analysis using surface enhanced Raman spectroscopic technique

Wang Yan; Hua Lin; Liu Jinghua; Qu Dian; Chen Anyu; Jiao Yi; Guo Xun; Liu Chunwei; Huang Wen; Wang Hong

doi:10.1109/IEMBS.2009.5333131

Preliminary study on the quick detection of Acquired Immune Deficiency Syndrome by saliva analysis using surface enhanced Raman spectroscopic technique

Annu Int Conf IEEE Eng Med Biol Soc. 2009:2009:885-7. doi: 10.1109/IEMBS.2009.5333131.

Authors

Wang Yan¹, Hua Lin, Liu Jinghua, Qu Dian, Chen Anyu, Jiao Yi, Guo Xun, Liu Chunwei, Huang Wen, Wang Hong

Affiliation

¹ Biomedical Engineering College of Capital University of Medical Sciences, Beijing, China 100069.

PMID: 19963981
DOI: 10.1109/IEMBS.2009.5333131

Abstract

45 saliva samples of AIDS patients and 55 saliva samples in normal population were detected by the Surface-enhanced Raman spectroscopy (SERS) system. And the spectrum data were analyzed using the Support Vector Machine (SVM) algorithm, one of the data mining technologies. Statistical analysis showed that two groups were distinguished effectively. This study provided a new research direction of the quick non-invasive testing for AIDS.

Publication types

Evaluation Study
Research Support, Non-U.S. Gov't

MeSH terms

Acquired Immunodeficiency Syndrome / diagnosis*
Acquired Immunodeficiency Syndrome / metabolism
Algorithms*
Artificial Intelligence*
Biomarkers / analysis*
Diagnosis, Computer-Assisted / methods*
Humans
Pattern Recognition, Automated / methods
Pilot Projects
Reproducibility of Results
Saliva / metabolism*
Sensitivity and Specificity
Spectrum Analysis, Raman / methods*

Substances

Biomarkers