A General Strategy for Food Traceability and Authentication Based on Assembly‐Tunable Fluorescence Sensor Arrays

作者：Cheng He, Tianyue Liu, Jingsheng Tian, Ran An, Yao Shen, Mingxi Liu, Zhiyi Yao · 发表于：Advanced Science · 年份：2024 · DOI：10.1002/advs.202309259 · 被引用次数：23 · 研究领域：Advanced Chemical Sensor Technologies、Molecular Sensors and Ion Detection、Luminescence and Fluorescent Materials

Food traceability and authentication systems play an important role in ensuring food quality and safety. Current techniques mainly rely on direct measurement by instrumental analysis, which is usually designed for one or a group of specific foods, not available for various food categories. To develop a general strategy for food identification and discrimination, a novel method based on fluorescence sensor arrays is proposed, composed of supramolecular assemblies regulated by non-covalent interactions as an information conversion system. The stimuli-responsiveness and tunability of supramolecular assemblies provided an excellent platform for interacting with various molecules in different foods. In this work, five sensor arrays constructed by supramolecular assemblies composed of pyrene derivatives and perylene derivatives are designed and prepared. Assembly behavior and sensing mechanisms are investigated systematically by spectroscopy techniques. The traceability and authentication effects on several kinds of food from different origins or grades are evaluated and verified by linear discriminant analysis (LDA). It is confirmed that the cross-reactive signals from different sensor units encompassing all molecular interactions can generate a unique fingerprint pattern for each food and can be used for traceability and authentication toward universal food categories with 100% accuracy.