利用精确灵敏的微波传感器确定活体组织的新鲜度

IF 1.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Iranian Journal of Science and Technology-Transactions of Electrical Engineering Pub Date : 2023-12-26 DOI:10.1007/s40998-023-00684-9
Moein Navaei, Pejman Rezaei
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引用次数: 0

摘要

在下面的手稿中,我们计划用一种独创的微波传感器来检测肉类作为一种组织的介电变化。该传感器以微带结构为模型,由 U 型、蜿蜒型和瀑布型三部分组成。如果液体样本位于传感器的感应位置,它就能测量介电常数的变化。为此,自由负载传感器在 3.2 GHz 频率上形成共振,当样品接触传感器时,根据所需样品的相对介电变化量,传感器共振频率会发生偏移。为了确定拟议传感器的灵敏度,使用了水-甲醇溶液样品,结果其 Q 因子和灵敏度分别为 5346 和 2.36%。然后,用该传感器测量羊肉、鱼肉和鸡肉的三个样本,并随着时间的推移重复测量,分析结果。通过这种方法,可以评估肉类的新鲜度。拟议的传感器可用于食品生产行业,并能高速、准确地确定各类肉类的确切宰后时间。
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Determining the Freshness of Living Tissue Using an Accurate and Sensitive Microwave Sensor

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.

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来源期刊
CiteScore
5.50
自引率
4.20%
发文量
93
审稿时长
>12 weeks
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.
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