Gas Sensor Array with Pattern Recognition Algorithms for Highly Sensitive and Selective Discrimination of Trimethylamine

Ren, Wenjie1; Zhao, Changhui2,3; Niu, Gaoqiang1; Zhuang, Yi1; Wang, Fei1

2022-10-01

10.1002/aisy.202200169

ADVANCED INTELLIGENT SYSTEMS   Impact Factor & Quartile

2640-4567

Artificial senses like electronic nose, which ameliorates the problem of poor selectivity from single gas sensor, have elicited keen research interest to monitor hazardous gases. Herein, the doping effects of gallium on In2O3 nanotubes (NTs) are investigated and a four-component sensor array for the detection of trimethylamine (TMA) is reported. All-gallium-doped/alloyed In2O3 (Ga-In2O3) sensors show improved sensitivity and selectivity to TMA at an operating temperature of 240 degrees C, with 5 mol% Ga-doped/alloyed one displaying the highest response in the range of 0.5-100 ppm and the lowest detection limit of 13.83 ppb. Based on the gas-sensing properties, a four-component sensor array is fabricated, which shows unique response patterns in variable-gas backgrounds. Herein, back propagation neural network (BPNN), radial basis function neural network (RBFNN), and principal component analysis-based linear regression (PCA-LR) are trained with the gas-sensing data to discriminate different gases with high accuracy, as well as to predict the concentrations of target gases in different gases and gas mixtures. Furthermore, accuracies of 92.85% and 99.14% can be achieved for the classification of six gases (three single gases and three binary gas mixtures) and for the prediction of TMA concentrations in the presence of different concentrations of TMA and acetone, respectively.

In2O3 nanotubes pattern recognition algorithms selectivities sensors trimethylamine

SCI

English

First ; Corresponding

National Key R & D Program of China["2020YFB2008604","K21799109","K21799110"]

Automation & Control Systems ; Computer Science ; Robotics

Automation & Control Systems ; Computer Science, Artificial Intelligence ; Robotics

WOS:000868564100001

WILEY

Web of Science

1.Southern Univ Sci & Technol, Sch Microelect, Shenzhen 518055, Peoples R China
2.Anhui Univ, Inst Phys Sci, Hefei 230601, Peoples R China
3.Anhui Univ, Inst Informat Technol, Hefei 230601, Peoples R China

Ren, Wenjie,Zhao, Changhui,Niu, Gaoqiang,et al. Gas Sensor Array with Pattern Recognition Algorithms for Highly Sensitive and Selective Discrimination of Trimethylamine[J]. ADVANCED INTELLIGENT SYSTEMS,2022.

Ren, Wenjie,Zhao, Changhui,Niu, Gaoqiang,Zhuang, Yi,&Wang, Fei.(2022).Gas Sensor Array with Pattern Recognition Algorithms for Highly Sensitive and Selective Discrimination of Trimethylamine.ADVANCED INTELLIGENT SYSTEMS.

Ren, Wenjie,et al."Gas Sensor Array with Pattern Recognition Algorithms for Highly Sensitive and Selective Discrimination of Trimethylamine".ADVANCED INTELLIGENT SYSTEMS (2022).