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Non-Destructive Techniques for the Analysis and Evaluation of Meat Quality and Safety: A Review.
| Content Provider | Europe PMC |
|---|---|
| Author | Wu, Xiaohong Liang, Xinyue Wang, Yixuan Wu, Bin Sun, Jun |
| Editor | Zhang, Boce |
| Copyright Year | 2022 |
| Abstract | With the continuous development of economy and the change in consumption concept, the demand for meat, a nutritious food, has been dramatically increasing. Meat quality is tightly related to human life and health, and it is commonly measured by sensory attribute, chemical composition, physical and chemical property, nutritional value, and safety quality. This paper surveys four types of emerging non-destructive detection techniques for meat quality estimation, including spectroscopic technique, imaging technique, machine vision, and electronic nose. The theoretical basis and applications of each technique are summarized, and their characteristics and specific application scope are compared horizontally, and the possible development direction is discussed. This review clearly shows that non-destructive detection has the advantages of fast, accurate, and non-invasive, and it is the current research hotspot on meat quality evaluation. In the future, how to integrate a variety of non-destructive detection techniques to achieve comprehensive analysis and assessment of meat quality and safety will be a mainstream trend. |
| Journal | Foods (Basel, Switzerland) |
| Volume Number | 11 |
| PubMed Central reference number | PMC9689883 |
| Issue Number | 22 |
| PubMed reference number | 36429304 |
| e-ISSN | 23048158 |
| DOI | 10.3390/foods11223713 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-11-18 |
| Access Restriction | Open |
| Rights License | 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/). © 2022 by the authors. |
| Subject Keyword | meat quality non-destructive detection near-infrared spectroscopy Raman spectroscopy hyperspectral imaging |
| Content Type | Text |
| Resource Type | Article |
| Subject | Microbiology Health (social science) Health Professions Food Science Plant Science |