金属-多酚多级竞争配位比色法监测肉类新鲜度

IF 26.8 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Jun Cheng, Yao Shen, Yulu Gu, Tongyue Xiang, Hui Shen, Yi Wang, Zhenyang Hu, Zhen Zheng, Zhilong Yu, Qin Wu, Yinghui Wang, Tiancong Zhao, Yunfei Xie
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引用次数: 0

摘要

一种低成本、高精度、安全的实时食品新鲜度监测系统可以显著改善食品腐败问题,但传统的比色传感器阵列往往受到化学染料高毒性和颜色变化有限的影响。本文建立了一种金属-多酚网络比色传感器阵列(MPN-CSA),用于检测肉类新鲜度的总挥发性碱氮(TVB-N)标记物。金属-多酚体系与胺类物质之间的多层次竞争配位过程,使该体系的颜色变化远远超过传统染料(达到300 ppb的检测限)。通过集成卷积神经网络(CNN)技术,开发了肉类新鲜度在线监测平台,整体检测准确率达到99.83%。这种环境友好、经济可行的MPN-CSA可以监测复杂储存环境中肉类的新鲜度,可以集成到食品包装盒中,使消费者和供应商能够实时评估肉类的新鲜度,从而有助于减少食物浪费和预防食源性疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Metal-polyphenol Multistage Competitive Coordination System for Colorimetric Monitoring Meat Freshness

Metal-polyphenol Multistage Competitive Coordination System for Colorimetric Monitoring Meat Freshness

Metal-polyphenol Multistage Competitive Coordination System for Colorimetric Monitoring Meat Freshness

Metal-polyphenol Multistage Competitive Coordination System for Colorimetric Monitoring Meat Freshness

Metal-polyphenol Multistage Competitive Coordination System for Colorimetric Monitoring Meat Freshness

Metal-polyphenol Multistage Competitive Coordination System for Colorimetric Monitoring Meat Freshness

A low-cost, high-precision, and secure real-time system for monitoring food freshness can significantly improve spoilage issues, yet traditional colorimetric sensor arrays often suffer from chemical dyes’ high toxicity and limited color changes. Here, a metal-polyphenol network colorimetric sensor array (MPN-CSA) is built for detecting total volatile base nitrogen (TVB-N) markers of meat freshness. The multi-level competitive coordination process between the metal-polyphenol system and amine substances endows the system with color changes far beyond those of traditional dyes (reaching a detection limit of 300 ppb). By integrating convolutional neural network (CNN) technology, an online platform is developed for monitoring meat freshness, achieving an overall detection accuracy rate of 99.83%. This environmentally friendly, economically viable MPN-CSA that monitors the freshness of meat in complex storage environments can be incorporated into food packaging boxes, enabling consumers and suppliers to assess the freshness of meat in real-time, thus helping to reduce food waste and prevent foodborne illnesses.

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来源期刊
Advanced Materials
Advanced Materials 工程技术-材料科学:综合
CiteScore
43.00
自引率
4.10%
发文量
2182
审稿时长
2 months
期刊介绍: Advanced Materials, one of the world's most prestigious journals and the foundation of the Advanced portfolio, is the home of choice for best-in-class materials science for more than 30 years. Following this fast-growing and interdisciplinary field, we are considering and publishing the most important discoveries on any and all materials from materials scientists, chemists, physicists, engineers as well as health and life scientists and bringing you the latest results and trends in modern materials-related research every week.
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