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Application of visual intelligent labels in the assessment of meat freshness.
Fan, Lingshuang; Chen, Yihan; Zeng, Yiwen; Yu, Zhumin; Dong, Yuxiang; Li, Dan; Zhang, Chunhong; Ye, Changqing.
Affiliation
  • Fan L; Naval Medical University, Shanghai 200433, PR China.
  • Chen Y; Naval Medical University, Shanghai 200433, PR China.
  • Zeng Y; Naval Medical University, Shanghai 200433, PR China.
  • Yu Z; School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, PR China.
  • Dong Y; School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, PR China.
  • Li D; Navy Special Medical Center, Naval Medical University, Shanghai 200433, PR China. Electronic address: lidan20130505@163.com.
  • Zhang C; Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China. Electronic address: z-chunhong@163.com.
  • Ye C; School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, PR China. Electronic address: yechangqing@mail.usts.edu.cn.
Food Chem ; 460(Pt 1): 140562, 2024 Dec 01.
Article in En | MEDLINE | ID: mdl-39059324
ABSTRACT
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Meat Limits: Animals Language: En Journal: Food Chem Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Meat Limits: Animals Language: En Journal: Food Chem Year: 2024 Document type: Article