Výskumný ústav potravinársky

Wang, S. – Zhang, X. – Polovka, M. – Tobolková, B.
Non-destructive detection of lamb freshness based on flexible impedance sensor


Xiaoshuan Zhang, Beijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, No. 17 Qinghua East Road, 100083 Beijing, China. E-mail: zhxshuan@cau.edu.cn

Original article
Received 1 March 2023; 1st revised 24 April 2024; accepted 29 April 2024; published online 2 July 2024.

Súhrn: A non-destructive method to monitor lamb freshness was developed by analysing the impedance spectrum of lamb meat. As a result of lamb storing, its biological tissue structure and intracellular ionic conductivity change, which can be effectively monitored by impedance amplitude and phase angle. Initially, the coefficient of variation method was employed to identify three frequency ranges: low, medium, and high. These ranges were used to establish a predictive model for lamb freshness using Fisher linear discriminant analysis. Independent variables included impedance, phase angle, and measurement quality, while dependent variables encompassed fresh and aged lamb meat states. The subsequent evaluation of lamb meat morphology aimed to uncover how these independent variables impacted lamb freshness. Results highlighted the significance of impedance parameters in fresh lamb meat, particularly in the low-frequency range. The discriminant analysis model demonstrated a robust predictive capacity, achieving a 94% accuracy rate for the discriminant function. The impedance variable had a significant impact on the model accuracy, and the introduction of independent variables improved the predictive accuracy of fresh and aged lamb meat by 22% and 15% respectively. Moreover, the study observed interconnected relationships among lamb freshness, water status, and impedance state changes.

Kľúčové slová: lamb; freshness; impedance; flexible sensor; prediction model

Na stiahnutie:
  jfnr202414-wang-240702.pdf (PDF, 759.06 Kb, 2x)