论文信息 - Diagnosis of diabetes by image detection of breath using gas-sensitive LAPS.

Diagnosis of diabetes by image detection of breath using gas-sensitive LAPS.

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.

[1] I Lundström,et al. Artificial 'olfactory' images from a chemical sensor using a light-pulse technique , 1991, Nature.

[2] P. Ciampolini,et al. Modeling of light-addressable potentiometric sensors , 1997 .

[3] J. W. Parce,et al. Light-addressable potentiometric sensor for biochemical systems. , 1988, Science.

[4] A. Spetz,et al. Hydrogen and ammonia response of metal‐silicon dioxide‐silicon structures with thin platinum gates , 1988 .

[5] Michael P. Craven,et al. The prediction of bacteria type and culture growth phase by an electronic nose with a multi-layer perceptron network , 1998 .

[6] W. Ping,et al. A novel method for diabetes diagnosis based on electronic nose. , 1997 .

[7] Ingemar Lundström,et al. From hydrogen sensors to olfactory images — twenty years with catalytic field-effect devices , 1993 .

[8] Li Rong,et al. Study on Flexible Neural Network for Olfactory Sensory System , 1995, Proceedings of the International Solid-State Sensors and Actuators Conference - TRANSDUCERS '95.

[9] Wang Ping,et al. A novel recognition method for electronic nose using artificial neural network and fuzzy recognition , 1996 .