DocumentCode
3565511
Title
Cancer detection using an electronic nose: A preliminary study on detection and discrimination of cancerous cells
Author
Thriumani, R. ; Zakaria, A. ; Jeffree, A.I. ; Hishamuddin, N.A. ; Omar, M.I. ; Adom, A.H. ; Shakaff, A.Y.M. ; Kamarudin, L.M. ; Yusuf, N. ; Hashim, Y.Z.H.Y. ; Helmy, K.M.
Author_Institution
Centre of Excellence for Adv. Sensor Technol. (CEASTech), Univ. Malaysia Perlis, Arau, Malaysia
fYear
2014
Firstpage
752
Lastpage
756
Abstract
Lack of effective tools to diagnose lung cancer at an early stage has caused high mortality in cancer patients especially in lung cancer patients. Electronic nose (E-Nose) technology is believed to offer non-invasive, rapid and reliable analytic approach by measuring the odour released from cancer to assist medical diagnosis. In this work, using a commercial E-nose (Cyranose-320), we aimed to detect the volatile organic compounds (VOCs) emitted by different types of cancerous cells. The lung cancer cell (A549) and breast cancer cell (MCF-7) were used for this study. Both cells were cultured using Dulbecco´s Modified Eagle´s Medium (DMEM) with 10% of Fetal Bovine Serum (FBS) and incubated for three days. The static headspace of cell cultures and blank medium were directly sniffed by Cyranose-320. The preliminary results from this study showed that, the E-nose is able to detect and distinguish the presence of VOCs in cancerous cells with accuracy of 100% using LDA. To this end, the VOCs emitted from cancerous cells can potentially used as biomarker.
Keywords
biochemistry; biological tissues; biomedical equipment; cancer; cellular biophysics; electronic noses; lung; molecular biophysics; patient diagnosis; proteins; statistical analysis; A549 cancer cell; Cyranose-320; DMEM; Dulbecco´s modified eagle´s medium; FBS; LDA; MCF-7 cancer cell; VOC detection accuracy; biomarker; breast cancer cell; cancer detection; cancerous cell detection; cancerous cell discrimination; cancerous cell type; cell incubation; commercial e-nose; e-nose technology; early stage lung cancer diagnosis; electronic nose; emitted VOC detection; fetal bovine serum; lung cancer cell; lung cancer diagnosis tool; lung cancer patient mortality; noninvasive analytic approach; preliminary study; rapid analytic approach; released odour measurement; reliable analytic approach; static blank medium headspace; static cell culture headspace; time 3 day; volatile organic compound detection; Cancer; Conferences; Diseases; Electronic noses; Lungs; Principal component analysis; Volatile organic compounds; Cyranose320; Electronic nose; LDA; Lung cancer cell; Volatile organic compounds (VOCs);
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Sciences (IECBES), 2014 IEEE Conference on
Type
conf
DOI
10.1109/IECBES.2014.7047609
Filename
7047609
Link To Document