A. Fort, M. Mugnaini, V. Vignoli, S. Rocchi, E. Comini, G. Faglia, A. Ponzoni
{"title":"Characterization and modelling of SnO2 nanowire sensors for CO detection","authors":"A. Fort, M. Mugnaini, V. Vignoli, S. Rocchi, E. Comini, G. Faglia, A. Ponzoni","doi":"10.1109/IWASI.2009.5184765","DOIUrl":null,"url":null,"abstract":"This paper concerns the characterization and modelling of single crystalline tin oxide nanowires used as CO sensors. In this work we analyze the performance of these devices when they are used with variable operating temperatures. The aim is reducing the power consumption and establishing a model suitable for the development of sensing systems working with programmed temperature protocols. In particular we developed and tested a model for the dynamic behaviour of the sensor able to predict the sensor response during transients. This model can be therefore exploited for the selection of optimum temperature profiles targeted to specific applications.","PeriodicalId":246540,"journal":{"name":"2009 3rd International Workshop on Advances in sensors and Interfaces","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 3rd International Workshop on Advances in sensors and Interfaces","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWASI.2009.5184765","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper concerns the characterization and modelling of single crystalline tin oxide nanowires used as CO sensors. In this work we analyze the performance of these devices when they are used with variable operating temperatures. The aim is reducing the power consumption and establishing a model suitable for the development of sensing systems working with programmed temperature protocols. In particular we developed and tested a model for the dynamic behaviour of the sensor able to predict the sensor response during transients. This model can be therefore exploited for the selection of optimum temperature profiles targeted to specific applications.
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