Temperature & light modulation to enhance the selectivity of Pt-modified zinc oxide gas sensor

•Temperature & light modulation is a effective method to enhance the selectivity of metal oxide gas sensors.•The feature extraction method we use can obtain characteristic parameters containing the information about surface reactions.•Combined with pattern recognition methods, tested gases can b...

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Published inSensors and actuators. B, Chemical Vol. 247; pp. 903 - 915
Main Authors Deng, Qian, Gao, Shi, Lei, Tao, Ling, Yansong, Zhang, Shunping, Xie, Changsheng
Format Journal Article
LanguageEnglish
Published Lausanne Elsevier B.V 01.08.2017
Elsevier Science Ltd
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Abstract •Temperature & light modulation is a effective method to enhance the selectivity of metal oxide gas sensors.•The feature extraction method we use can obtain characteristic parameters containing the information about surface reactions.•Combined with pattern recognition methods, tested gases can be easily discriminated. Metal oxide (MOX) has been used as resistive gas sensors for a long time. The gas sensitive response under constant temperature measurement is a broad-spectrum response, resulting in poor selectivity. To solve this problem and enhance the selectivity of a single sensing film, gas sensor based on Pt-modified zinc oxide was prepared by homogeneous precipitation and screen printing method. Afterwards, the temperature & light modulation method is first proposed herein. This method allows us to obtain different Resistance-Temperature (R-T) curves and characteristic parameters, photoresponse and photorelaxation. Combined with pattern recognition method, five tested gases, including ethanol, methanol, acetone, formic acid and ethyl ether, can be successfully classified. Compared with temperature modulation, which is usually used as a method to enhance selectivity, temperature & light modulation method can increase the classification rate from 95.55% to 100% for sensing these five tested gases. The results indicate that the temperature & light modulation method is an effective method for improving the selectivity of the gas sensor.
AbstractList Metal oxide (MOX) has been used as resistive gas sensors for a long time. The gas sensitive response under constant temperature measurement is a broad-spectrum response, resulting in poor selectivity. To solve this problem and enhance the selectivity of a single sensing film, gas sensor based on Pt-modified zinc oxide was prepared by homogeneous precipitation and screen printing method. Afterwards, the temperature & light modulation method is first proposed herein. This method allows us to obtain different Resistance-Temperature (R-T) curves and characteristic parameters, photoresponse and photorelaxation. Combined with pattern recognition method, five tested gases, including ethanol, methanol, acetone, formic acid and ethyl ether, can be successfully classified. Compared with temperature modulation, which is usually used as a method to enhance selectivity, temperature & light modulation method can increase the classification rate from 95.55% to 100% for sensing these five tested gases. The results indicate that the temperature & light modulation method is an effective method for improving the selectivity of the gas sensor.
•Temperature & light modulation is a effective method to enhance the selectivity of metal oxide gas sensors.•The feature extraction method we use can obtain characteristic parameters containing the information about surface reactions.•Combined with pattern recognition methods, tested gases can be easily discriminated. Metal oxide (MOX) has been used as resistive gas sensors for a long time. The gas sensitive response under constant temperature measurement is a broad-spectrum response, resulting in poor selectivity. To solve this problem and enhance the selectivity of a single sensing film, gas sensor based on Pt-modified zinc oxide was prepared by homogeneous precipitation and screen printing method. Afterwards, the temperature & light modulation method is first proposed herein. This method allows us to obtain different Resistance-Temperature (R-T) curves and characteristic parameters, photoresponse and photorelaxation. Combined with pattern recognition method, five tested gases, including ethanol, methanol, acetone, formic acid and ethyl ether, can be successfully classified. Compared with temperature modulation, which is usually used as a method to enhance selectivity, temperature & light modulation method can increase the classification rate from 95.55% to 100% for sensing these five tested gases. The results indicate that the temperature & light modulation method is an effective method for improving the selectivity of the gas sensor.
Author Deng, Qian
Ling, Yansong
Lei, Tao
Zhang, Shunping
Gao, Shi
Xie, Changsheng
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Keywords Metal oxide
Selectivity improvement
Gas sensor
Temperature & light modulation
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  article-title: Quantitative analysis of pesticide residue based on the dynamic response of a single SnO 2 gas sensor
  publication-title: Sens. Actuators B
  doi: 10.1016/j.snb.2003.11.032
– volume: 199
  start-page: 15
  year: 2014
  ident: 10.1016/j.snb.2017.03.107_bib0155
  article-title: The influence of Au and Pt electrodes on the stability of TiO2 under UV light activation for sensing formaldehyde in moisture circumstances
  publication-title: Sens. Actuators B
  doi: 10.1016/j.snb.2014.03.094
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Snippet •Temperature & light modulation is a effective method to enhance the selectivity of metal oxide gas sensors.•The feature extraction method we use can obtain...
Metal oxide (MOX) has been used as resistive gas sensors for a long time. The gas sensitive response under constant temperature measurement is a broad-spectrum...
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SubjectTerms Acetone
Ethanol
Formic acid
Gas detectors
Gas sensor
Gas sensors
Light modulation
Metal oxide
Metal oxides
MOX
Pattern recognition
Platinum
Screen printing
Selectivity
Selectivity improvement
Temperature
Temperature & light modulation
Temperature measurement
Zinc oxide
Zinc oxides
Title Temperature & light modulation to enhance the selectivity of Pt-modified zinc oxide gas sensor
URI https://dx.doi.org/10.1016/j.snb.2017.03.107
https://www.proquest.com/docview/2123159117
Volume 247
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