{"title":"Determining the Freshness of Living Tissue Using an Accurate and Sensitive Microwave Sensor","authors":"Moein Navaei, Pejman Rezaei","doi":"10.1007/s40998-023-00684-9","DOIUrl":null,"url":null,"abstract":"<p>In the following manuscript, an original microwave sensor is planned to detect the meat's dielectric changes, as a type of tissue. The presented sensor is created in the model of a microstrip structure and consists of U-shaped, meander, and waterfall parts. If a liquid sample is located on the sensor at the sensing location, it can measure permittivity changes. For this, a resonance is formed in the free-load sensor at 3.2 GHz frequency then when the sample touches the sensor, according to the amount of relative dielectric changes of the desired sample, the sensor resonance frequency is shifted. To determine the sensitivity of the proposed sensor, water–methanol solution samples are used and as a result, its <i>Q</i>-factor and sensitivity are 5346 and 2.36%, respectively. Then, three samples of sheep, fish, and chicken meats are measured by the proposed sensor, and with time, the measurement is repeated, and the results are analyzed. With this method, the freshness of the meat is evaluated. It is possible to use the proposed sensor in the food production industry and can determine the exact postmortem time of all types of meat with high speed and accuracy.</p>","PeriodicalId":49064,"journal":{"name":"Iranian Journal of Science and Technology-Transactions of Electrical Engineering","volume":"87 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iranian Journal of Science and Technology-Transactions of Electrical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s40998-023-00684-9","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
In the following manuscript, an original microwave sensor is planned to detect the meat's dielectric changes, as a type of tissue. The presented sensor is created in the model of a microstrip structure and consists of U-shaped, meander, and waterfall parts. If a liquid sample is located on the sensor at the sensing location, it can measure permittivity changes. For this, a resonance is formed in the free-load sensor at 3.2 GHz frequency then when the sample touches the sensor, according to the amount of relative dielectric changes of the desired sample, the sensor resonance frequency is shifted. To determine the sensitivity of the proposed sensor, water–methanol solution samples are used and as a result, its Q-factor and sensitivity are 5346 and 2.36%, respectively. Then, three samples of sheep, fish, and chicken meats are measured by the proposed sensor, and with time, the measurement is repeated, and the results are analyzed. With this method, the freshness of the meat is evaluated. It is possible to use the proposed sensor in the food production industry and can determine the exact postmortem time of all types of meat with high speed and accuracy.
期刊介绍:
Transactions of Electrical Engineering is to foster the growth of scientific research in all branches of electrical engineering and its related grounds and to provide a medium by means of which the fruits of these researches may be brought to the attentionof the world’s scientific communities.
The journal has the focus on the frontier topics in the theoretical, mathematical, numerical, experimental and scientific developments in electrical engineering as well
as applications of established techniques to new domains in various electical engineering disciplines such as:
Bio electric, Bio mechanics, Bio instrument, Microwaves, Wave Propagation, Communication Theory, Channel Estimation, radar & sonar system, Signal Processing, image processing, Artificial Neural Networks, Data Mining and Machine Learning, Fuzzy Logic and Systems, Fuzzy Control, Optimal & Robust ControlNavigation & Estimation Theory, Power Electronics & Drives, Power Generation & Management The editors will welcome papers from all professors and researchers from universities, research centers,
organizations, companies and industries from all over the world in the hope that this will advance the scientific standards of the journal and provide a channel of communication between Iranian Scholars and their colleague in other parts of the world.