Type discrimination and concentration prediction towards ethanol using a machine learning–enhanced gas sensor array with different morphology-tuning characteristics

2021 ◽  
Author(s):  
Tao Wang ◽  
Hongli Ma ◽  
Wenkai Jiang ◽  
Hexin Zhang ◽  
Min Zeng ◽  
...  
Keyword(s):  
Machine Learning ◽  
Gas Sensor ◽  
Sensor Array ◽  
Gas Sensing ◽  
Hierarchical Structures ◽  
Machine Learning Algorithms ◽  
Microwave Assisted ◽  
Gas Sensor Array ◽  
Microwave Assisted Method ◽  
Concentration Prediction

Microwave-assisted method has been developed to synthesize ZnO gas sensing nanomaterials with controllable hierarchical structures. Machine learning algorithms such as PCA, SVM, ELM, and BP further improve the selectivity and quantitation.

scholarly journals 100 nm-Gap Fingers Dielectrophoresis Functionalized MOX Gas Sensor Array for Low Temperature VOCs Detection

Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 1027
Author(s):  
Luca Francioso ◽  
Pasquale Creti ◽  
Maria Concetta Martucci ◽  
Simonetta Capone ◽  
Antonietta Taurino ◽  
...  
Keyword(s):  
Low Temperature ◽  
Gas Sensor ◽  
Sensor Array ◽  
Gas Sensing ◽  
Enhanced Sensitivity ◽  
Sno2 Nanocrystals ◽  
Gas Sensor Array ◽  
Order Of Magnitude ◽  
Nanogap Electrodes ◽  
Average Size

Present work reports the fabrication process and functional gas sensing tests of a 100 nm-gap fingers DiElectroPhoresis (DEP) functionalized MOX (Metal OXide) gas sensor array for VOCs detection at low temperature. The Internet of Things (IoT) scenario applications of the chemical sensing-enabled mobiles or connected devices are many ranging from indoor air quality to novel breath analyser for personal healthcare monitoring. However, the commercial MOX gas sensors operate at moderate temperatures (200–400 °C) [1], and this limits the mobile and wearable gadgets market penetration. Nanogap devices may represent the alternative devices with enhanced sensitivity even at low or room temperature. A nanogap electrodes MOX gas sensor array functionalized with 5 nm average size SnO2 nanocrystals with positive dielectrophoresis technique is presented. The single sensor active area is 4 × 4 µm2. The devices exhibited about 1 order of magnitude response at 100 °C to 150 ppm of acetone.

PM2.5 Concentration Prediction for Air Pollution using Machine Learning Algorithms

2019 ◽  
Vol 28 (1) ◽  
pp. 349-354 ◽  
Author(s):  
Ahmed Samy Abd El Aziz Moursi ◽  
Marwa Shouman ◽  
Ezz El-din Hemdan ◽  
Nawal El-Fishawy
Keyword(s):  
Machine Learning ◽  
Air Pollution ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Concentration Prediction ◽  
Pm2.5 Concentration

scholarly journals LOCATING GAS SOURCES USING A GAS SENSOR ARRAY

1991 ◽  
Vol 7 (Supple) ◽  
pp. 1565-1568 ◽  
Author(s):  
Yukio Hiranaka ◽  
Hiro Yamasaki
Keyword(s):  
Gas Sensor ◽  
Sensor Array ◽  
Gas Sensor Array

Identification and detection of bioactive compounds in turmeric (Curcuma longa L.) using gas sensor array based on molecularly imprinted polymer quartz crystal microbalance

2021 ◽  
Author(s):  
Fajar IAIN Hardoyono ◽  
Kikin Windhani
Keyword(s):  
Gas Sensor ◽  
Bioactive Compounds ◽  
Quartz Crystal Microbalance ◽  
Molecularly Imprinted Polymer ◽  
Quartz Crystal ◽  
Sensor Array ◽  
Curcuma Longa ◽  
Imprinted Polymer ◽  
Molecularly Imprinted ◽  
Gas Sensor Array

This study aimed to identify four bioactive compounds in turmeric (Curcuma longa L.) using gas sensor array based on molecularly imprinted polymer-quartz crystal microbalance (MIP-QCM). Four QCM sensors coated with...

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