Title :
Development of polyaniline nanocomposite thin film micro-gas sensor array for the qualitative analysis of inorganic vapor
Author :
Tai, Hui-Ling ; Jiang, Ya-dong ; Xie, Guang-Zhong
Author_Institution :
Sch. of Optoelectron. Inf., Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China
Abstract :
A novel chemical micro-gas sensor array composed of polyaniline (PANI) and its nanocomposite thin film was fabricated for NH3, CO and H2 gas classification. Titanium dioxide (TiO2), indium oxide (In2O3) and multi-walled carbon nanotube (PANI/MWNT) combined with PANI were chosen as the sensing materials by the step-clustering analysis. The normalization method was developed to eliminate the dispersion of the array data. Probabilistic neuron network (PNN) was designed and trained with the processed data, and the different discrimination results were discussed under the different spread constant (SP). The accurate classification result was achieved when SP was set as 0.05 or 0.1.
Keywords :
carbon nanotubes; gas sensors; indium compounds; microsensors; nanocomposites; neural nets; probability; titanium compounds; In2O3; PANI/MWNT; TiO2; gas classification; inorganic vapor; multi-walled carbon nanotube; normalization method; polyaniline nanocomposite thin film micro-gas sensor array; probabilistic neuron network; qualitative analysis; sensing materials; spread constant; step-clustering analysis; Carbon nanotubes; Chemical sensors; Gas detectors; Hydrogen; Intelligent sensors; Sensor arrays; Sensor phenomena and characterization; Temperature sensors; Thin film devices; Thin film sensors; Micro-gas sensor array; PANI; PNN; nanocomposite thin film; spread constant; step-clustering analysis;
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5204-0
Electronic_ISBN :
978-1-4244-5206-4
DOI :
10.1109/ICACIA.2009.5361166
