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Review

New Techniques of Meat Quality Assessment for Detecting Meat Texture

1
School of Mechanical and Materials Engineering, North China University of Technology, Beijing 100144, China
2
College of Mechanical and Electrical Engineering, Beijing Polytechnic College, Beijing 100042, China
*
Author to whom correspondence should be addressed.
Processes 2025, 13(3), 640; https://doi.org/10.3390/pr13030640
Submission received: 7 January 2025 / Revised: 15 February 2025 / Accepted: 19 February 2025 / Published: 24 February 2025

Abstract

Meat, as an essential food source in people’s lives, provides a wealth of nutrients. The physical properties of meat are directly related to its sensory caracteristics, such as elasticity, viscosity, and toughness. Food rheology, as a discipline that studies the deformation and flow behavior of food under force, can effectively characterize these physical properties of meat. The evaluation methods of rheological properties provide a more comprehensive and accurate means of detecting meat quality. This not only helps enhance the quality control level in the meat industry but also holds significant importance for safeguarding consumer rights. This paper reviews the assessment of rheological properties such as sensory evaluation, texture analyzers, and rheometers. The combined application of multiple technologies (such as the integration of hyperspectral imaging (HSI) with computer vision and the fusion of airflow and laser detection) and emerging technologies (such as nanotechnology and biosensor technology) shows potential in predicting the rheological properties of meat. It analyzes the current application status, advantages, and challenges faced by the assessment of rheological properties and provides an outlook on future development trends, offering theoretical references for the objective evaluation of meat quality.
Keywords: rheological properties; viscoelasticity; rheometer; texture analysis rheological properties; viscoelasticity; rheometer; texture analysis

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MDPI and ACS Style

Liu, C.; Li, Y.; Sun, W.; Ma, F.; Wang, X.; Yang, Z. New Techniques of Meat Quality Assessment for Detecting Meat Texture. Processes 2025, 13, 640. https://doi.org/10.3390/pr13030640

AMA Style

Liu C, Li Y, Sun W, Ma F, Wang X, Yang Z. New Techniques of Meat Quality Assessment for Detecting Meat Texture. Processes. 2025; 13(3):640. https://doi.org/10.3390/pr13030640

Chicago/Turabian Style

Liu, Chang, Yanlei Li, Wenming Sun, Feiyu Ma, Xiangwu Wang, and Zihao Yang. 2025. "New Techniques of Meat Quality Assessment for Detecting Meat Texture" Processes 13, no. 3: 640. https://doi.org/10.3390/pr13030640

APA Style

Liu, C., Li, Y., Sun, W., Ma, F., Wang, X., & Yang, Z. (2025). New Techniques of Meat Quality Assessment for Detecting Meat Texture. Processes, 13(3), 640. https://doi.org/10.3390/pr13030640

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