Diagnosis of diabetes by image detection of breath using gas-sensitive laps

被引：76

作者：

Zhang, QT

Wang, P ^{[1
]}

Li, JP

Gao, XG

机构：

[1] Zhejiang Univ, Biosensor Natl Specioal Lab, Dept Biomed Engn, Hangzhou 310027, Zhejiang, Peoples R China

[2] Chinese Acad Sci, Inst Elect, State Key Lab Transducer Technol, Beijing 100080, Peoples R China

[3] Zhejiang Univ, Dept Informat & Elect Engn, Semicond Optoelect Lab, Hangzhou 310027, Zhejiang, Peoples R China

来源：

BIOSENSORS & BIOELECTRONICS | 2000年 / 15卷 / 5-6期

基金：

中国国家自然科学基金;

关键词：

LAPS; electric simulation; detection of respiration odor; odor dynamic imaging;

D O I：

10.1016/S0956-5663(00)00064-6

中图分类号：

Q6 [生物物理学];

学科分类号：

071011 ;

摘要：

Gaseous respiratory acetone detection using LAPS (Light Addressable Potentiometric Sensors) is proposed as a supplementary method for the diagnosis of diabetes. First, electric simulation of the LAPS system is studied to obtain the optimum sensitivity of tested odours. Gas phase chromatography is used to obtain correlations between blood sugar levels and acetone from the breath. Then several experiments are carried out to obtain the 2-dimension static and dynamic images of respiratory acetone and air. All experimental results show that the LAPS can be very useful for the detection of respiratory odours, especially the diagnosis of diabetes. (C) 2000 Elsevier Science S.A. All rights reserved.

引用

页码：249 / 256

页数：8

共 16 条

[1] Modeling of light-addressable potentiometric sensors [J].