A preliminary study on in-vitro lung cancer detection using e-nose technology
The existing clinical diagnostics for lung cancer are mostly based on physics, biochemical and imaging techniques. The use of electronic nose (E-nose) system to detect volatile organic compounds (VOCs) in lung cancer cells or exhaled air breath of a patient is expected to be able to classify dif...
| Main Authors: | , , , , , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/47326/ http://irep.iium.edu.my/47326/ http://irep.iium.edu.my/47326/4/47326-cover.pdf |
| Summary: | The existing clinical diagnostics for lung cancer are
mostly based on physics, biochemical and imaging techniques.
The use of electronic nose (E-nose) system to detect volatile
organic compounds (VOCs) in lung cancer cells or exhaled air
breath of a patient is expected to be able to classify different
volatile components leading to the diagnosis of lung cancer at an
early stage. In this preliminary study, a commercialized E-nose
consists of an array of 32 conducting polymer sensors (Cyranose
320) was used to detect and discriminate the VOCs emitted from
cancer cells which is A549 (lung cancer cell line) between MCF7
(breast cancer cell line). Blank medium was used to obtain
controlled value. The VOC profiles of each sample were
characterized using a classification algorithm called k-Nearest
Neighbors (KNN) to test and benchmark the performance of Enose
in identifying VOCs of lung cancer from different cancer
cell lines. The E-nose with KNN classifier was able to classify the
VOCs of lung cancer cell with over 90% successful accuracy in
30 seconds. This study can conclude that e-nose is capable to
rapidly discriminate volatile organic compounds of cancerous
cells which generated during cell growth. |
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