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

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

© 2025 Wiley‐VCH GmbH.

Bibliographische Detailangaben
Veröffentlicht in:Advanced materials (Deerfield Beach, Fla.). - 1998. - (2025) vom: 01. Apr., Seite e2503246
1. Verfasser: Cheng, Jun (VerfasserIn)
Weitere Verfasser: Shen, Yao, Gu, Yulu, Xiang, Tongyue, Shen, Hui, Wang, Yi, Hu, Zhenyang, Zheng, Zhen, Yu, Zhilong, Wu, Qin, Wang, Yinghui, Zhao, Tiancong, Xie, Yunfei
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2025
Zugriff auf das übergeordnete Werk:Advanced materials (Deerfield Beach, Fla.)
Schlagworte:Journal Article colorimetric sensor array convolutional neural network meat freshness metal‐polyphenol multistage competitive coordination
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520 |a 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 
650 4 |a Journal Article 
650 4 |a colorimetric sensor array 
650 4 |a convolutional neural network 
650 4 |a meat freshness 
650 4 |a metal‐polyphenol 
650 4 |a multistage competitive coordination 
700 1 |a Shen, Yao  |e verfasserin  |4 aut 
700 1 |a Gu, Yulu  |e verfasserin  |4 aut 
700 1 |a Xiang, Tongyue  |e verfasserin  |4 aut 
700 1 |a Shen, Hui  |e verfasserin  |4 aut 
700 1 |a Wang, Yi  |e verfasserin  |4 aut 
700 1 |a Hu, Zhenyang  |e verfasserin  |4 aut 
700 1 |a Zheng, Zhen  |e verfasserin  |4 aut 
700 1 |a Yu, Zhilong  |e verfasserin  |4 aut 
700 1 |a Wu, Qin  |e verfasserin  |4 aut 
700 1 |a Wang, Yinghui  |e verfasserin  |4 aut 
700 1 |a Zhao, Tiancong  |e verfasserin  |4 aut 
700 1 |a Xie, Yunfei  |e verfasserin  |4 aut 
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773 1 8 |g year:2025  |g day:01  |g month:04  |g pages:e2503246 
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