Covalent Organic Frameworks in Smart Food Packaging: Advances, Challenges, and Future Prospects

IF 15.6 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY
Sara Esteghlal, Hossein Daneshgar, Navid Rabiee, Mohammadreza Khalesi
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引用次数: 0

Abstract

Food preservation challenges have positioned packaging as a rapidly evolving, innovation-driven field, with smart packaging offering transformative solutions. Among advanced materials, covalent organic frameworks (COFs) have attracted growing attention due to their permanent porosity, structural tunability, high surface area, and chemical stability. These features allow COFs to address critical needs in food packaging, including active barrier protection, antimicrobial action, and smart sensing of food freshness and spoilage. This review examines recent progress in applying COFs to food packaging, with particular focus on their ability to prolong shelf life and enable smart functionalities for real-time monitoring of food quality. Safety aspects, biocompatibility, recyclability, and biodegradability are also critically evaluated, as these remain key considerations for regulatory approval and industrial translation. Although current studies report minimal cytotoxicity, long-term toxicological assessments are still limited, underscoring the need for more comprehensive investigations. Looking forward, artificial intelligence (AI) and machine learning (ML) provide powerful tools for accelerating COF discovery and optimization. Their integration into COF design could streamline synthesis, improve scalability, and guide application-specific material development. COFs represent a promising new class of materials poised to advance the next generation of sustainable, functional, and smart food-packaging systems.

智能食品包装中的共价有机框架:进展,挑战和未来前景
食品保鲜的挑战已经定位包装作为一个快速发展,创新驱动的领域,与智能包装提供变革性的解决方案。在先进材料中,共价有机框架材料(COFs)因其具有永久多孔性、结构可调节性、高比表面积和化学稳定性而受到越来越多的关注。这些功能使cof能够满足食品包装的关键需求,包括主动屏障保护,抗菌作用以及食品新鲜度和变质的智能感知。本文审查了将cof应用于食品包装的最新进展,特别关注其延长保质期和实现实时监测食品质量的智能功能的能力。安全性、生物相容性、可回收性和可生物降解性也被严格评估,因为这些仍然是监管批准和工业转化的关键考虑因素。虽然目前的研究报告了最小的细胞毒性,但长期毒理学评估仍然有限,强调需要进行更全面的调查。展望未来,人工智能(AI)和机器学习(ML)为加速COF的发现和优化提供了强大的工具。将它们集成到COF设计中可以简化合成,提高可扩展性,并指导特定应用材料的开发。COFs代表了一种有前途的新型材料,有望推进下一代可持续、功能性和智能食品包装系统。
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来源期刊
CiteScore
26.20
自引率
2.70%
发文量
182
期刊介绍: Comprehensive Reviews in Food Science and Food Safety (CRFSFS) is an online peer-reviewed journal established in 2002. It aims to provide scientists with unique and comprehensive reviews covering various aspects of food science and technology. CRFSFS publishes in-depth reviews addressing the chemical, microbiological, physical, sensory, and nutritional properties of foods, as well as food processing, engineering, analytical methods, and packaging. Manuscripts should contribute new insights and recommendations to the scientific knowledge on the topic. The journal prioritizes recent developments and encourages critical assessment of experimental design and interpretation of results. Topics related to food safety, such as preventive controls, ingredient contaminants, storage, food authenticity, and adulteration, are considered. Reviews on food hazards must demonstrate validity and reliability in real food systems, not just in model systems. Additionally, reviews on nutritional properties should provide a realistic perspective on how foods influence health, considering processing and storage effects on bioactivity. The journal also accepts reviews on consumer behavior, risk assessment, food regulations, and post-harvest physiology. Authors are encouraged to consult the Editor in Chief before submission to ensure topic suitability. Systematic reviews and meta-analyses on analytical and sensory methods, quality control, and food safety approaches are welcomed, with authors advised to follow IFIS Good review practice guidelines.
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