Dynamic Measurement of VOCs with Multiple Characteristic Peaks Based on Temperature Modulation of ZnO Gas Sensor

Volatile organic compounds (VOC) harm human health seriously in the air. Therefore, it is essential to recognize VOC gases qualitatively and quantitatively. The dynamic measurement method can improve the selectivity of metal oxide semiconductor (MOS) gas sensors to VOC, but there is a problem of the...

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Main Authors: Xue Shi, Hua Zhang, Hanyang Ji, Fanli Meng
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Chemosensors
Subjects:
Online Access:https://www.mdpi.com/2227-9040/10/6/226
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author Xue Shi
Hua Zhang
Hanyang Ji
Fanli Meng
author_facet Xue Shi
Hua Zhang
Hanyang Ji
Fanli Meng
author_sort Xue Shi
collection DOAJ
description Volatile organic compounds (VOC) harm human health seriously in the air. Therefore, it is essential to recognize VOC gases qualitatively and quantitatively. The dynamic measurement method can improve the selectivity of metal oxide semiconductor (MOS) gas sensors to VOC, but there is a problem of the insufficient number of characteristic peaks. From the experimental point of view, the primary judgment basis for the correct qualitative and quantitative recognition of VOC gases by the dynamic measurement method is the characteristic peak of the dynamic response signal. However, the traditional dynamic measurement method generally only has two characteristic peaks. In this experiment, the voltage was changed at the time of the second characteristic peak by controlling the constant dynamic response period. Taking ethyl alcohol as an example, the experimental results show that the characteristic peak of the dynamic response signal does not increase when the voltage is constant. However, a new characteristic peak will appear based on a continuously rising heating voltage. The characteristic peaks of the dynamic response of n-propyl alcohol, isopropyl alcohol, and n-butyl alcohol were also increased based on the rising heating voltage waveform. Based on the K-Nearest-Neighbors algorithm, the qualitative and quantitative recognition rate of the four alcohol homologue gases reached 100%.
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spelling doaj.art-f148a54309d74927ab440406238a03582023-11-23T16:04:16ZengMDPI AGChemosensors2227-90402022-06-0110622610.3390/chemosensors10060226Dynamic Measurement of VOCs with Multiple Characteristic Peaks Based on Temperature Modulation of ZnO Gas SensorXue Shi0Hua Zhang1Hanyang Ji2Fanli Meng3College of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang 110819, ChinaVolatile organic compounds (VOC) harm human health seriously in the air. Therefore, it is essential to recognize VOC gases qualitatively and quantitatively. The dynamic measurement method can improve the selectivity of metal oxide semiconductor (MOS) gas sensors to VOC, but there is a problem of the insufficient number of characteristic peaks. From the experimental point of view, the primary judgment basis for the correct qualitative and quantitative recognition of VOC gases by the dynamic measurement method is the characteristic peak of the dynamic response signal. However, the traditional dynamic measurement method generally only has two characteristic peaks. In this experiment, the voltage was changed at the time of the second characteristic peak by controlling the constant dynamic response period. Taking ethyl alcohol as an example, the experimental results show that the characteristic peak of the dynamic response signal does not increase when the voltage is constant. However, a new characteristic peak will appear based on a continuously rising heating voltage. The characteristic peaks of the dynamic response of n-propyl alcohol, isopropyl alcohol, and n-butyl alcohol were also increased based on the rising heating voltage waveform. Based on the K-Nearest-Neighbors algorithm, the qualitative and quantitative recognition rate of the four alcohol homologue gases reached 100%.https://www.mdpi.com/2227-9040/10/6/226dynamic response signalcharacteristic peaksZnO gas sensorperiodic cycle heating waveformalcohol homologue gases
spellingShingle Xue Shi
Hua Zhang
Hanyang Ji
Fanli Meng
Dynamic Measurement of VOCs with Multiple Characteristic Peaks Based on Temperature Modulation of ZnO Gas Sensor
Chemosensors
dynamic response signal
characteristic peaks
ZnO gas sensor
periodic cycle heating waveform
alcohol homologue gases
title Dynamic Measurement of VOCs with Multiple Characteristic Peaks Based on Temperature Modulation of ZnO Gas Sensor
title_full Dynamic Measurement of VOCs with Multiple Characteristic Peaks Based on Temperature Modulation of ZnO Gas Sensor
title_fullStr Dynamic Measurement of VOCs with Multiple Characteristic Peaks Based on Temperature Modulation of ZnO Gas Sensor
title_full_unstemmed Dynamic Measurement of VOCs with Multiple Characteristic Peaks Based on Temperature Modulation of ZnO Gas Sensor
title_short Dynamic Measurement of VOCs with Multiple Characteristic Peaks Based on Temperature Modulation of ZnO Gas Sensor
title_sort dynamic measurement of vocs with multiple characteristic peaks based on temperature modulation of zno gas sensor
topic dynamic response signal
characteristic peaks
ZnO gas sensor
periodic cycle heating waveform
alcohol homologue gases
url https://www.mdpi.com/2227-9040/10/6/226
work_keys_str_mv AT xueshi dynamicmeasurementofvocswithmultiplecharacteristicpeaksbasedontemperaturemodulationofznogassensor
AT huazhang dynamicmeasurementofvocswithmultiplecharacteristicpeaksbasedontemperaturemodulationofznogassensor
AT hanyangji dynamicmeasurementofvocswithmultiplecharacteristicpeaksbasedontemperaturemodulationofznogassensor
AT fanlimeng dynamicmeasurementofvocswithmultiplecharacteristicpeaksbasedontemperaturemodulationofznogassensor