Ryomei Wada, Naho Minowa, Takeru Wada, Manase Mizutani, Yoshihisa Suzuki, Yong-Joon Choi, Kazuhiro Takahashi, K. Sawada, T. Noda
{"title":"Functional validation of an additional device to the gas sensor for arbitrary control sensing properties","authors":"Ryomei Wada, Naho Minowa, Takeru Wada, Manase Mizutani, Yoshihisa Suzuki, Yong-Joon Choi, Kazuhiro Takahashi, K. Sawada, T. Noda","doi":"10.1109/SENSORS47087.2021.9639252","DOIUrl":null,"url":null,"abstract":"In this study, we demonstrate the first device that can effectively modulate the sensing properties of a gas sensor. Using our device, existing gas sensors can behave as pseudo-multiple sensors with different sensing selectivities. We fabricated a proof-of-concept device and verified the control of the response characteristics of the sensor by applying voltages. The results showed that the sensor output to each gas increased by 26.0% for ammonia, decreased by 54.3% for acetic acid, and did not change for ethanol when a voltage of 50 V was applied. Sensor variations in machine-learning-based gas and odor sensing are important. Our device realizes a pseudo-increase in the number of sensor variations that does not depend on the type of sensing membrane, which is revolutionary.","PeriodicalId":6775,"journal":{"name":"2021 IEEE Sensors","volume":"31 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Sensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SENSORS47087.2021.9639252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, we demonstrate the first device that can effectively modulate the sensing properties of a gas sensor. Using our device, existing gas sensors can behave as pseudo-multiple sensors with different sensing selectivities. We fabricated a proof-of-concept device and verified the control of the response characteristics of the sensor by applying voltages. The results showed that the sensor output to each gas increased by 26.0% for ammonia, decreased by 54.3% for acetic acid, and did not change for ethanol when a voltage of 50 V was applied. Sensor variations in machine-learning-based gas and odor sensing are important. Our device realizes a pseudo-increase in the number of sensor variations that does not depend on the type of sensing membrane, which is revolutionary.