荧光
化学
传感器阵列
分析物
分析化学(期刊)
光化学
生物系统
色谱法
计算机科学
光学
生物
机器学习
物理
作者
Xiaofang Liu,Jing Zhang,Yi Ma,Dong Zhao,Danqun Huo,Huibo Luo,Jiawei Li,Xiaogang Luo,Changjun Hou
出处
期刊:Analytical Methods
[The Royal Society of Chemistry]
日期:2022-01-01
卷期号:14 (16): 1585-1593
被引量:10
摘要
The beverage industry is in the market tuyere, and grasps the lifeline of the social economy, so it is particularly vital to supervise it. Herein, we report a minimalist fluorescence metal-organic framework (MOF) sensor array for Baijiu identification. The original MOF was modified by rare-earth elements to obtain Eu-MOFs and Tb-MOFs. They exhibited multiple fluorescence characteristic peaks in the range of 400-700 nm when excited at 325 nm. The organic molecules in the Baijiu reacted with Eu-MOF and Tb-MOF, affecting the energy transfer of the entire system and the electronic transition of Eu3+ and Tb3+, which were accompanied by various changes in the fluorescence intensity. For each analyte, a unique fluorescence fingerprint and heat map would be formed, which could be discriminated by pattern recognition. With this method, 11 kinds of organic molecules were identified accurately. A good stepwise bilinear function between the fluorescence intensity and concentrations of ferulic acid was obtained at 0.2-3.13 μM and 6.25-100 μM. Crucially, 16 kinds of Baijius of different brands were accurately identified with an accuracy of 100%. The sensor array showed the advantages of strong maneuverability and fast response, exhibiting good application value in Baijiu detection.
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