Academic Journal
طراحی و ساخت ماشین بویایی با قابلیت انتقال اطلاعات از دور برای کاردبردهای صنایع غذایی.
| Τίτλος: | طراحی و ساخت ماشین بویایی با قابلیت انتقال اطلاعات از دور برای کاردبردهای صنایع غذایی. (Persian) |
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| Alternate Title: | Design and development of a machine olfaction with the capability of remote information transmission for food industry applications. (English) |
| Συγγραφείς: | مهدی قاسمی ورنام, زهرا ایزدی |
| Πηγή: | Iranian Journal of Biosystem Engineering; Fall2024, Vol. 55 Issue 3, p33-47, 15p |
| Θεματικοί όροι: | Electronic equipment, Food inspection, Electronic systems, Pattern recognition systems, Computers, Electronic noses |
| Περίληψη: | Odor fingerprinting technology with machine olfaction is one of the new methods that has attracted the attention of researchers in the field of food quality inspection, and it includes an array of selective sensors connected to a pattern recognition program. Providing the ability to transmit information remotely with a wireless machine olfaction can be of great help in using this system on the Internet of Things (IoT) platform. In this research, the design and development stages of the electronic nose system with the ability to connect wirelessly with the computer have been described. ESP32 board was used for this device. ESP32 is a low-cost and low-power microcontroller board of the SoC chip type. This type of chip is a type of integrated circuit that integrates several components of a computer or electronic system into a single chip. These components typically include the processor, memory, I/O interfaces, and other features such as graphics processing and networking capabilities. In the written program, receiving data from sensors is done with the I2C communication protocol. The voltage of the sensors is calculated and converted to digital values by the ADS1115 analog-to-digital converter. Finally, in order to test the built device, formalin adulteration was used in milk, and the device showed a good performance in transmitting information. The voltage response of the sensors to the change in the odor pattern in the samples was measured for three groups of milk (pure milk and milk samples adulterated with formalin at volume percentages of 0.1 and 1 g/100 cc) and finally the response of the sensor array for all samples was recorded and stored. The sensor (TGS822) showed the highest loading coefficient in separating samples containing formalin, followed by the sensors (MQ135) and (MQ7) which had a significant effect in separating the samples. [ABSTRACT FROM AUTHOR] |
| Copyright of Iranian Journal of Biosystem Engineering is the property of University of Tehran and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
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