{"title":"Non-Destructive Evaluation of Adulteration in Edible Oil Using Capacitance","authors":"Hari Krishna Salila Vijayalal Mohan, A. Malcolm","doi":"10.1109/IEACon55029.2022.9951724","DOIUrl":null,"url":null,"abstract":"Premium edible oils like extra virgin olive oil (EVOO) produced in food and beverage fast-moving consumer goods (FMCG) industries may be subjected to economically motivated food adulteration and/or depreciate in quality from multi-oil processing in the same processing line. Current quality assurance methods (e.g. spectroscopy) are offline, invasive, costly, and slow making adulteration detection inefficient. Herein, a non-invasive capacitive detection scheme is used. The differences in the dielectric properties of mixed oils in a capacitive field form the basis for screening EVOO-filled containers non-invasively for adulteration without sample extraction. The sensor showed a fast response (100 ms) and good detection limits towards different adulterants (canola oil (46%), soy oil (17%) and castor oil (6%)), which is suitable for high-throughput inspection.","PeriodicalId":197307,"journal":{"name":"2022 IEEE Industrial Electronics and Applications Conference (IEACon)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Industrial Electronics and Applications Conference (IEACon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEACon55029.2022.9951724","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
Premium edible oils like extra virgin olive oil (EVOO) produced in food and beverage fast-moving consumer goods (FMCG) industries may be subjected to economically motivated food adulteration and/or depreciate in quality from multi-oil processing in the same processing line. Current quality assurance methods (e.g. spectroscopy) are offline, invasive, costly, and slow making adulteration detection inefficient. Herein, a non-invasive capacitive detection scheme is used. The differences in the dielectric properties of mixed oils in a capacitive field form the basis for screening EVOO-filled containers non-invasively for adulteration without sample extraction. The sensor showed a fast response (100 ms) and good detection limits towards different adulterants (canola oil (46%), soy oil (17%) and castor oil (6%)), which is suitable for high-throughput inspection.