Suppr超能文献

基于静电纺丝的传感技术:在食品应用中的机遇。

Electrospinning-based sensing technologies: Opportunities for food applications.

机构信息

Food, Nutrition, and Health, Faculty of Land & Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada.

Department of Food Science and Technology, School of Nutrition Sciences and Food Technology, Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.

出版信息

Compr Rev Food Sci Food Saf. 2024 Sep;23(5):e13415. doi: 10.1111/1541-4337.13415.

Abstract

The article explores the science and practice of electrospinning, tracing its history and examining the factors that influence fiber morphology, including the solution composition, processing conditions, and environmental conditions. It offers a thorough examination of electrospinning fundamentals geared toward generating an appropriate platform for creating tailored nanofibers for sensing applications in the food industry. These nanofibers play a critical role in food analysis, sensing, and traceability, and we highlight their effectiveness in identifying pesticide residues, food components, antibiotics, heavy metals, and foodborne pathogens as well as in monitoring the freshness and spoilage of food. The use of electrospinning technology is poised to make sensing platforms more accessible, affordable, and widespread, thereby significantly contributing to the improvement of food quality and safety monitoring practices.

摘要

本文探讨了静电纺丝的科学和实践,追溯了其历史,并研究了影响纤维形态的因素,包括溶液组成、处理条件和环境条件。本文深入探讨了静电纺丝的基本原理,旨在为食品工业中用于感测应用的定制纳米纤维的生成提供一个合适的平台。这些纳米纤维在食品分析、感测和可追溯性方面发挥着关键作用,我们强调了它们在识别农药残留、食品成分、抗生素、重金属和食源性病原体以及监测食品新鲜度和变质方面的有效性。静电纺丝技术的应用有望使感测平台更加普及、经济实惠,从而为改善食品质量和安全监测实践做出重大贡献。

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