Modeling The Influence Of H[sub 2]O On Metal Oxide Sensor Responses To CO

2009 ◽  
Author(s):  
A. Fort ◽  
M. Mugnaini ◽  
I. Pasquini ◽  
S. Rocchi ◽  
V. Vignoli ◽  
...  
Keyword(s):  
Metal Oxide ◽  
Metal Oxide Sensor

Precise gas discrimination with cross-reactive graphene and metal oxide sensor arrays

2018 ◽  
Vol 113 (22) ◽  
pp. 222102 ◽  
Author(s):  
Chen Shi ◽  
Huixian Ye ◽  
Hui Wang ◽  
Dimitris E. Ioannou ◽  
Qiliang Li
Keyword(s):  
Metal Oxide ◽  
Sensor Arrays ◽  
Metal Oxide Sensor

Discriminating BTX Molecules by the Nonselective Metal Oxide Sensor-Based Smart Sensing System

ACS Sensors ◽  
2021 ◽  
Author(s):  
Hongyu Liu ◽  
Gang Meng ◽  
Zanhong Deng ◽  
Kazuki Nagashima ◽  
Shimao Wang ◽  
...  
Keyword(s):  
Metal Oxide ◽  
Sensing System ◽  
Smart Sensing ◽  
Metal Oxide Sensor

scholarly journals A Gas Mixture Prediction Model Based on the Dynamic Response of a Metal-Oxide Sensor

Micromachines ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 598 ◽  
Author(s):  
Wei-Chih Wen ◽  
Ting-I Chou ◽  
Kea-Tiong Tang
Keyword(s):  
Dynamic Response ◽  
Metal Oxide ◽  
Low Cost ◽  
High Sensitivity ◽  
Temperature Changes ◽  
Concentration Estimation ◽  
Gas Identification ◽  
Different Characteristics ◽  
Metal Oxide Sensor ◽  
Different Gases

Metal-oxide (MOX) gas sensors are widely used for gas concentration estimation and gas identification due to their low cost, high sensitivity, and stability. However, MOX sensors have low selectivity to different gases, which leads to the problem of classification for mixtures and pure gases. In this study, a square wave was applied as the heater waveform to generate a dynamic response on the sensor. The information of the dynamic response, which includes different characteristics for different gases due to temperature changes, enhanced the selectivity of the MOX sensor. Moreover, a polynomial interaction term mixture model with a dynamic response is proposed to predict the concentration of the binary mixtures and pure gases. The proposed method improved the classification accuracy to 100%. Moreover, the relative error of quantification decreased to 1.4% for pure gases and 13.0% for mixtures.

Featuring Of Odor By Metal Oxide Sensor Response To Varying Gas Mixture

2009 ◽  
Author(s):  
Arūnas Šetkus ◽  
Andrius Olekas ◽  
Daiva Senulienė ◽  
Matteo Falasconi ◽  
Matteo Pardo ◽  
...  
Keyword(s):  
Metal Oxide ◽  
Sensor Response ◽  
Gas Mixture ◽  
Metal Oxide Sensor

Modeling of the influence of H2O on metal oxide sensor responses to CO

2011 ◽  
Vol 159 (1) ◽  
pp. 82-91 ◽  
Author(s):  
A. Fort ◽  
M. Mugnaini ◽  
I. Pasquini ◽  
S. Rocchi ◽  
V. Vignoli
Keyword(s):  
Metal Oxide ◽  
Metal Oxide Sensor
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