Application of visual intelligent labels in the assessment of meat freshness

With the increasing demand for meat products, the evaluation and real-time monitoring of its freshness has become one of the focuses of related industry research. Conventional freshness detection methods, including sensory evaluation, microbial experiments, and determination of physicochemical indic...

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Bibliographic Details
Published in:Food chemistry 2024-12, Vol.460 (Pt 1), p.140562, Article 140562
Main Authors: Fan, Lingshuang, Chen, Yihan, Zeng, Yiwen, Yu, Zhumin, Dong, Yuxiang, Li, Dan, Zhang, Chunhong, Ye, Changqing
Format: Article
Language:English
Subjects:
Chilled food
Freshness indicator
Intelligent packing
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Summary:With the increasing demand for meat products, the evaluation and real-time monitoring of its freshness has become one of the focuses of related industry research. Conventional freshness detection methods, including sensory evaluation, microbial experiments, and determination of physicochemical indicators, are time-consuming, low sensitivity, and destructive, so there is an urgent need to develop a convenient, intuitive, and inexpensive detection method. As a representative of smart packaging, visual intelligent labels can realize real-time perception and monitoring of meat freshness by measuring the temperature, pH value or other indicators of meat and converting them into visual signals. This paper first summarizes the common types, basic principles and research progress of visual intelligent labels, then introduces its application in livestock, poultry and seafood freshness monitoring, finally looks forward to the development prospect of visual smart labels. •Comprehensive overview of the research progress of visual smart labels.•Categories and principles of smart labels in real-time meat freshness monitoring.•In-depth analysis of both the commercial applications and research progress.•Identify their prospects and challenges from the laboratory to commercialization.
ISSN:0308-8146
1873-7072
1873-7072
DOI:10.1016/j.foodchem.2024.140562