K. Avhad, N. Ramgir, R. Bhusari, R. Jishita, R. Navneethan, A. Avhad, V. M. Aranke, Rohini Panajkar, A. Debnath, R. Datta, T. K. Saha, K. Muthe, S. Gadkari
{"title":"基于ZnO纳米线的有毒气体检测电子鼻的研制","authors":"K. Avhad, N. Ramgir, R. Bhusari, R. Jishita, R. Navneethan, A. Avhad, V. M. Aranke, Rohini Panajkar, A. Debnath, R. Datta, T. K. Saha, K. Muthe, S. Gadkari","doi":"10.1109/SSPS.2017.8071605","DOIUrl":null,"url":null,"abstract":"An electronic nose based on ZnO nanowires (NWs) for toxic gas detection has been demonstrated. In order to realize the multiple sensor array the ZnO NW film was selectively modified with Al, Ti, and Au layer resulting in an array of 4 × 3 sensor films. Data repository was prepared using an indigenously developed data acquisition system, testing chamber and a Labview based program. The data bank is generated by recording the response curve of the sensor array towards NO2, NO and H2S as a function of gas concentration. A simple bar chart is used to identify the target gas. It indicates a unique signature pattern for the gases under investigation.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Development of electronic nose based on ZnO nanowires for toxic gas detection\",\"authors\":\"K. Avhad, N. Ramgir, R. Bhusari, R. Jishita, R. Navneethan, A. Avhad, V. M. Aranke, Rohini Panajkar, A. Debnath, R. Datta, T. K. Saha, K. Muthe, S. Gadkari\",\"doi\":\"10.1109/SSPS.2017.8071605\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An electronic nose based on ZnO nanowires (NWs) for toxic gas detection has been demonstrated. In order to realize the multiple sensor array the ZnO NW film was selectively modified with Al, Ti, and Au layer resulting in an array of 4 × 3 sensor films. Data repository was prepared using an indigenously developed data acquisition system, testing chamber and a Labview based program. The data bank is generated by recording the response curve of the sensor array towards NO2, NO and H2S as a function of gas concentration. A simple bar chart is used to identify the target gas. It indicates a unique signature pattern for the gases under investigation.\",\"PeriodicalId\":382353,\"journal\":{\"name\":\"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSPS.2017.8071605\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSPS.2017.8071605","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of electronic nose based on ZnO nanowires for toxic gas detection
An electronic nose based on ZnO nanowires (NWs) for toxic gas detection has been demonstrated. In order to realize the multiple sensor array the ZnO NW film was selectively modified with Al, Ti, and Au layer resulting in an array of 4 × 3 sensor films. Data repository was prepared using an indigenously developed data acquisition system, testing chamber and a Labview based program. The data bank is generated by recording the response curve of the sensor array towards NO2, NO and H2S as a function of gas concentration. A simple bar chart is used to identify the target gas. It indicates a unique signature pattern for the gases under investigation.