A PRELIMINARY STUDY ON DETECTION OF LUNG CANCER CELLS BASED ON VOLATILE ORGANIC COMPOUNDS SENSING USING ELECTRONIC NOSE

Authors

  • Reena Thriumani Center for Excellence for Advanced Sensor Technology (CEASTech), University Malaysia Perlis
  • Amanina Iymia Jeffreea Center for Excellence for Advanced Sensor Technology (CEASTech), University Malaysia Perlis
  • Ammar Zakaria Center for Excellence for Advanced Sensor Technology (CEASTech), University Malaysia Perlis
  • Yumi Zuhanis Has-Yun Hasyim Cell and Tissue Engineering Lab, Department of Biotechnology Engineering, Kulliyah of Engineering, International Islamic University Malaysia (IIUM)
  • Khaled Mohamed Helmy Hospital Tuanku Fauziah (HTF), Jalan Kolam, 01000, Kangar, Perlis, Malaysia.
  • Mohammad Iqbal Omar Center for Excellence for Advanced Sensor Technology (CEASTech), University Malaysia Perlis
  • Abdul Hamid Adom Center for Excellence for Advanced Sensor Technology (CEASTech), University Malaysia Perlis
  • Ali Yeon Shakaff Center for Excellence for Advanced Sensor Technology (CEASTech), University Malaysia Perlis
  • Latifah Munirah Kamarudin Center for Excellence for Advanced Sensor Technology (CEASTech), University Malaysia Perlis

DOI:

https://doi.org/10.11113/jt.v77.6250

Keywords:

E-Nose, Volatile Organic Compounds (VOCS), in-vitro, lung cancer cells, Probabilistic Neural Network (PNN)

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.  

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Published

2015-11-12

Issue

Vol. 77 No. 7: Medical Engineering Vol. 2

Section

Science and Engineering

License

Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.

How to Cite

A PRELIMINARY STUDY ON DETECTION OF LUNG CANCER CELLS BASED ON VOLATILE ORGANIC COMPOUNDS SENSING USING ELECTRONIC NOSE. (2015). Jurnal Teknologi, 77(7). https://doi.org/10.11113/jt.v77.6250