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...
Lung cancer is one of the most serious and common cancer types of today, with very uncomfortable and...
“Electronic nose” technology, including technical and software tools to analyze gas mixtures, is pro...
Introduction Detecting volatile organic compounds in exhaled breath enables the diagnosis of cancer....
The existing clinical diagnostics for lung cancer are mostly based on physics, biochemical and imag...
Recently, a Novel Coronavirus Pneumonia (NCP) swept the globe. This kind of new virus has extremely ...
This thesis investigated the feasibility of electronic nose technology for the diagnostic of primari...
Computational intelligence techniques can be implemented to analyze the olfactory signal as perceive...
In this experiment, three different cell cultures (A549, WI38VA13 and MCF7) and blank medium (withou...
Abstract Background Volatile organic compounds (VOCs) emitted from exhaled breath from human bodies ...
Disease specific patterns of volatile organic compounds can be detected in exhaled breath using an e...
Introduction: Profiling volatile organic compounds in exhaled breath enables the diagnosis of severa...
Introduction: The early determination of serious pathologies has so far been an important issue in b...
In human exhaled breath, more than 3000 volatile organic compounds (VOCs) are found, which are direc...
Objectives/HypothesisElectronic nose (E-nose) technology has various applications such as the monito...
Lung cancer is one of the most serious and common cancer types of today, with very uncomfortable and...
“Electronic nose” technology, including technical and software tools to analyze gas mixtures, is pro...
Introduction Detecting volatile organic compounds in exhaled breath enables the diagnosis of cancer....
The existing clinical diagnostics for lung cancer are mostly based on physics, biochemical and imag...
Recently, a Novel Coronavirus Pneumonia (NCP) swept the globe. This kind of new virus has extremely ...
This thesis investigated the feasibility of electronic nose technology for the diagnostic of primari...
Computational intelligence techniques can be implemented to analyze the olfactory signal as perceive...
In this experiment, three different cell cultures (A549, WI38VA13 and MCF7) and blank medium (withou...
Abstract Background Volatile organic compounds (VOCs) emitted from exhaled breath from human bodies ...
Disease specific patterns of volatile organic compounds can be detected in exhaled breath using an e...
Introduction: Profiling volatile organic compounds in exhaled breath enables the diagnosis of severa...
Introduction: The early determination of serious pathologies has so far been an important issue in b...
In human exhaled breath, more than 3000 volatile organic compounds (VOCs) are found, which are direc...
Objectives/HypothesisElectronic nose (E-nose) technology has various applications such as the monito...
Lung cancer is one of the most serious and common cancer types of today, with very uncomfortable and...
“Electronic nose” technology, including technical and software tools to analyze gas mixtures, is pro...
Introduction Detecting volatile organic compounds in exhaled breath enables the diagnosis of cancer....