Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractThe association between exposure to volatile organic compounds and serum lipids in the US adult population    Next Abstract"Female sex pheromone of a carpenter moth, Cossus insularis (Lepidoptera: Cossidae)" »

Conf Proc IEEE Eng Med Biol Soc


Title:A Non-invasive detection of lung cancer combined virtual gas sensors array with imaging recognition technique
Author(s):Chen X; Cao M; Hao Y; Li Y; Wang P; Ying K; Pan H;
Address:"Biosensor National Special Laboratory, Biomedical Engineering Key Laboratory of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, P. R. China"
Journal Title:Conf Proc IEEE Eng Med Biol Soc
Year:2005
Volume:2005
Issue:
Page Number:5873 - 5876
DOI: 10.1109/IEMBS.2005.1615826
ISSN/ISBN:1557-170X (Print) 1557-170X (Linking)
Abstract:"In this paper, we propose a non-invasive detection method of lung cancer combined with a sort of virtual SAW gas sensors array and imaging recognition method. A patient's breath goes through an electronic nose with solid phase micro extraction (SPME) and capillary column for pre-concentration and separation of volatile organic compounds (VOCs) respectively, a pair of SAW sensors one coated with a thin Poly-isobutylene (PIB) film is connected to the output of capillary column port for chemical compounds detection. A lung cancer tissues' culture medium study is also proposed for pathology validation. 11 VOCs which are considered as the biomarkers of lung cancer can be detected qualitatively and quantitatively. Finally these 11 VOCs are used to diagnose lung cancer patients in Run Run Shaw hospital by our e-nose with an improved artificial neural network (ANN) algorithm combined with imaging method for pattern recognition"
Keywords:
Notes:"PubMed-not-MEDLINEChen, Xing Cao, Mingfu Hao, Yan Li, Yi Wang, Ping Ying, Kejing Pan, Hongming eng 2007/02/07 Conf Proc IEEE Eng Med Biol Soc. 2005; 2005:5873-6. doi: 10.1109/IEMBS.2005.1615826"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 27-12-2024