Advances in Nondestructive Methods for Meat Quality and Safety Monitoring

ABSTRACT

Meat is highly perishable and poses health threats when its quality and safety is unmonitored. Chemical methods of quality and safety determination are expensive, time-consuming and lack real-time monitoring applicability. Nondestructive techniques have been reported as antidotes to these constraints. This paper assessed the potential of nondestructive techniques such as near-infrared spectroscopy, hyperspectral imaging, multispectral imaging, e-nose, and their data fusion, all combined with algorithms for quality monitoring of pork, beef, and chicken, the most consumed meat sources in the world. These techniques combined with data processing applications may offer a panacea for real-time industrial meat quality and safety monitoring.

KEYWORDS:

• Nondestructive technique
• multivariate algorithms
• odor sensing
• optical techniques
• quality and safety

Conflict of interest

Authors wish to declare no conflict of interest.

Compliance with ethics requirement

This article contains no studies with human or animal used as subjects.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [(31471646, 31501216)].