A preliminary study on detection of lung cancer cells based on volatile organic compounds sensing using electronic nose

Thriumani, Reena and Jeffree, Amanina Iymia and Zakaria, Ammar and Hashim, Yumi Zuhanis Has-Yun and Mohamed Helmy, Khaled and Omar, Mohammad Iqbal and Abdul Hamid, Adom and Shakaff, Ali Yeon and Kamarudin, Latifah Munirah (2015) A preliminary study on detection of lung cancer cells based on volatile organic compounds sensing using electronic nose. Jurnal Teknologi, 77 (7). pp. 67-71. ISSN 0127–9696 E-ISSN 2180–3722

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Abstract

This paper proposes a preliminary investigation on the volatile production patterns generated from three sets of in-vitro cancerous cell samples of headspace that contains volatile organic compounds using the electronic nose system. A commercialized electronic nose consisting of 32 conducting polymer sensors (Cyranose 320) is used to analyze the three classes of signals which are lung cancer cells grown in media, breast cancer cells grown in media and the blank media (without cells). Neural Network (PNN) based classification technique is applied to investigate the performance of an electronic nose (E-nose) system for cancerous lung cell classification. Kertas in membincangkan satu penyiasatan awal keatas corak yang dijana oleh ruapan sebation organic (VOC) daripada tiga set ‘in-vitro’ sel kanser sampel. ‘VOC’ daripada ‘headspace’ sampel dikumpulkan dengan menggunakan sistem hidung elektronik (ENose). E-Nose komersial yang terdiri daripada 32 sensor polimer (Cyranose 320) digunakan untuk menganalisis tiga jenis kelas iaitu sel-sel kanser paru-paru di dalam media, sel-sel kanser payudara di dalam media dan media kosong (tanpa sel-sel). Teknik pengelasan berasaskan ‘Neural Network’ (PNN) digunakan untuk menyiasat prestasi sistem E-Nose untuk membezakan kanser sel paru-paru.

Item Type:	Article (Journal)
Additional Information:	3774/47162
Uncontrolled Keywords:	E-Nose, Volatile Organic Compounds (VOCS), in-vitro, lung cancer cells,Probabilistic Neural Network (PNN) E-Nose, Ruapan Sebation Organic (VOCs), In-vitro, kanser sel paru-paru,Probabilistic Neural Network
Subjects:	Q Science > Q Science (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Biotechnology Engineering
Depositing User:	DR YUMI ZUHANIS HAS-YUN HASHIM
Date Deposited:	04 Jan 2016 10:31
Last Modified:	22 May 2018 13:58
URI:	http://irep.iium.edu.my/id/eprint/47162

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