Suppr超能文献

肉类品质与安全的智能抗菌包装研究进展综述

Review of Recent Advances in Intelligent and Antibacterial Packaging for Meat Quality and Safety.

作者信息

Zhang Junjun, Zhang Jianing, Zhang Lidan, Qin Zhou, Wang Tianxing

机构信息

Agricultural Product Processing and Storage Lab, School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.

出版信息

Foods. 2025 Mar 26;14(7):1157. doi: 10.3390/foods14071157.

Abstract

Intelligent and antimicrobial packaging technologies are transforming meat preservation by enhancing food safety, enabling real-time quality monitoring, and extending shelf life. This review critically examines advancements in intelligent systems, including radio frequency identification (RFID), gas sensors, time-temperature indicators (TTIs), and colorimetric indicators for continuous freshness assessment. A key focus is natural compound-based chromogenic indicators, which establish visual spoilage detection via distinct color transitions. Concurrently, antimicrobial systems integrating inorganic compounds, organic bioactive agents, and natural antimicrobials effectively inhibit microbial growth. Strategic incorporation of these agents into polymeric matrices enhances meat safety, supported by standardized evaluation protocols for regulatory compliance and quality assurance. Future research should prioritize optimizing sensitivity, cost-efficiency, and sustainability, alongside developing biodegradable materials to balance food safety with reduced environmental impact, advancing sustainable food supply chains.

摘要

智能和抗菌包装技术正在通过提高食品安全、实现实时质量监测以及延长保质期来改变肉类保鲜方式。本综述批判性地审视了智能系统的进展,包括用于连续新鲜度评估的射频识别(RFID)、气体传感器、时间 - 温度指示器(TTIs)和比色指示器。一个关键重点是基于天然化合物的显色指示剂,它通过明显的颜色转变来实现视觉上的腐败检测。同时,整合无机化合物、有机生物活性剂和天然抗菌剂的抗菌系统能有效抑制微生物生长。将这些试剂策略性地掺入聚合物基质中可提高肉类安全性,这得到了用于监管合规和质量保证的标准化评估协议的支持。未来的研究应优先优化灵敏度、成本效益和可持续性,同时开发可生物降解材料,以在降低环境影响的同时平衡食品安全,推动可持续食品供应链的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e97f/11989113/45f04ff7485b/foods-14-01157-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验