Version 1
: Received: 2 April 2024 / Approved: 2 April 2024 / Online: 2 April 2024 (17:30:46 CEST)
How to cite:
Li, Y.; Wang, H.; Yang, Z.; Wang, X.; Wang, W.; Hui, T. Rapid Non-Destructive Detection Technology in the Field of Meat Tenderness: A Review. Preprints2024, 2024040237. https://doi.org/10.20944/preprints202404.0237.v1
Li, Y.; Wang, H.; Yang, Z.; Wang, X.; Wang, W.; Hui, T. Rapid Non-Destructive Detection Technology in the Field of Meat Tenderness: A Review. Preprints 2024, 2024040237. https://doi.org/10.20944/preprints202404.0237.v1
Li, Y.; Wang, H.; Yang, Z.; Wang, X.; Wang, W.; Hui, T. Rapid Non-Destructive Detection Technology in the Field of Meat Tenderness: A Review. Preprints2024, 2024040237. https://doi.org/10.20944/preprints202404.0237.v1
APA Style
Li, Y., Wang, H., Yang, Z., Wang, X., Wang, W., & Hui, T. (2024). Rapid Non-Destructive Detection Technology in the Field of Meat Tenderness: A Review. Preprints. https://doi.org/10.20944/preprints202404.0237.v1
Chicago/Turabian Style
Li, Y., Wenxiu Wang and Teng Hui. 2024 "Rapid Non-Destructive Detection Technology in the Field of Meat Tenderness: A Review" Preprints. https://doi.org/10.20944/preprints202404.0237.v1
Abstract
Meat serves as a vital component of the human diet, offering a rich source of protein and essential trace elements. China stands as both a significant producer and consumer of meat on a global scale, leading the world in terms of total meat production and consumption. As the standard of living within the country continues to rise, there is a growing emphasis on the nutritional value and safety of meat consumption. The tenderness of meat is a critical factor influencing its overall quality. Traditionally, tenderness has been assessed through shear force testing, a method that is inherently destructive, inefficient, and results in considerable sample wastage. In light of these drawbacks, non-destructive testing techniques have emerged as a preferred alternative, promising greater accuracy, efficiency, and convenience without compromising the integrity of the samples. This paper delves into the application of five advanced non-destructive testing technologies in the realm of meat tenderness assessment. These include near-infrared spectroscopy, hyperspectral imaging, Raman spectroscopy, airflow optical fusion detection, and nuclear magnetic resonance detection. Each technology is scrutinized for its respective strengths and limitations, providing a comprehensive overview of their current utility and potential for future development. Moreover, the integration of these techniques with the latest advancements in artificial intelligence (AI) technology is explored. The fusion of AI with non-destructive testing offers a promising avenue for the development of more sophisticated, rapid, and intelligent systems for meat tenderness evaluation. This integration is anticipated to significantly enhance the efficiency and accuracy of quality assessment in the meat industry, ensuring a higher standard of safety and nutritional value for consumers. The paper concludes with a set of technical recommendations aimed at guiding the future direction of non-destructive, AI-enhanced meat tenderness detection, thereby contributing to the ongoing improvement of the meat industry in China and beyond.
Biology and Life Sciences, Food Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
