Novel method for distinguishing the fresh meat and the meat treated by KNO3 by using automatic measurement of bioimpedance analysis

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Authors

  • Dang Thanh Trung Hanoi University of Science and Technology
  • Nguyen Phan Kien (Corresponding Author) Hanoi University of Science and Technology
  • Nguyen Thanh Trung 108 Military Central Hospital

DOI:

https://doi.org/10.54939/1859-1043.j.mst.79.2022.22-30

Keywords:

Pork meat; KNO3; Bioimpedance measurent; Fresh meat; Spoiled meat.

Abstract

Pork meat that treated by KNO3 looks like fresh one that human eyes cannot classify in the real life. The consumption of spoiled meat that treated by KNO3 will make a higher chance to get cancer in human body because of the changing from Nitrate to Nitrite inside the body. The automatic impedance measurement of meat has been developed and showed that this system can detect the existing of KNO3 inside the meat. In the system, pork meat is considered an electronics circuit that approved by two models: Fricke and Cole-Cole. By using an inverting amplifier with the piece of meat located at the feedback part of the circuit, the sinusoidal signal generated by the AD9850 module will be passed through the circuit. The signal received from the output of AD9850 will be sent to the oscilloscope and uploaded to the computer, and automatically change the frequency range of the generated signal to investigate the complex impedance of the meat in the frequency range from 10 Hz to 1 MHz. The obtained results will be analyzed by Levenberg-Marquart algorithm, showing that the distinction of fresh meat and meat that has been treated with KNO3 can be determined by the phase-frequency spectrum and amplitude of impedance of meat at low frequency (100 Hz). In the future, the system will be  upgraded and apply for the real life.

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Published

19-05-2022

How to Cite

Dang, T. T., P. K. Nguyen, and T. T. Nguyen. “Novel Method for Distinguishing the Fresh Meat and the Meat Treated by KNO3 by Using Automatic Measurement of Bioimpedance Analysis”. Journal of Military Science and Technology, no. 79, May 2022, pp. 22-30, doi:10.54939/1859-1043.j.mst.79.2022.22-30.

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Research Articles