Content area

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.

Details

1009240
Title
New Techniques of Meat Quality Assessment for Detecting Meat Texture
Author
Liu, Chang 1 ; Li, Yanlei 2 ; Sun, Wenming 2 ; Ma, Feiyu 2 ; Wang, Xiangwu 2 ; Yang, Zihao 2 

 School of Mechanical and Materials Engineering, North China University of Technology, Beijing 100144, China; [email protected]; College of Mechanical and Electrical Engineering, Beijing Polytechnic College, Beijing 100042, China; [email protected] (W.S.); [email protected] (F.M.); [email protected] (X.W.); [email protected] (Z.Y.) 
 College of Mechanical and Electrical Engineering, Beijing Polytechnic College, Beijing 100042, China; [email protected] (W.S.); [email protected] (F.M.); [email protected] (X.W.); [email protected] (Z.Y.) 
Publication title
Processes; Basel
Volume
13
Issue
3
First page
640
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
22279717
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-02-24
Milestone dates
2025-01-07 (Received); 2025-02-19 (Accepted)
Publication history
 
 
   First posting date
24 Feb 2025
ProQuest document ID
3181724566
Document URL
https://www.proquest.com/scholarly-journals/new-techniques-meat-quality-assessment-detecting/docview/3181724566/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-03-27
Database
ProQuest One Academic