文献类型：期刊文献

英文题名：A fluorescent sensor array-based electronic tongue for Chinese tea discrimination

作者：Zhu, Yanchao[1];Wang, Jie[1];Wu, Yusen[1];Shang, Zhikun[1];Ding, Yun[1];Hu, Aiguo[1]

机构：[1]East China Univ Sci & Technol, Sch Mat Sci & Engn, Shanghai Key Lab Adv Polymer Mat, Shanghai 200237, Peoples R China

年份：2021

卷号：9

期号：17

起止页码：5676

外文期刊名：JOURNAL OF MATERIALS CHEMISTRY C

收录：;EI(收录号：20212010358480);WOS:【SCI-EXPANDED(收录号:WOS:000640199700001)】；

基金：Dedicated to the 100th anniversary of Chemistry at Nankai University. The authors gratefully acknowledge the financial support from the National Natural Science Foundation of China (21674035), the Fundamental Research Funds for the Central Universities (22221818014) and the Shanghai Leading Academic Discipline Project (B502). A. H. thanks the ''Eastern Scholar Professorship'' support from the Shanghai local government. Y. C. thanks Mr Tianxiang Chen for his helpful support in the preparation of WPU.

语种：英文

外文关键词：Quenching - Fluorescence - Energy transfer - Beverages - Support vector machines

摘要：A fluorescent sensor array-based electronic tongue consisting of 6 soluble conjugated polymeric nanoparticles (SCPNs) embedded in waterborne polyurethane was developed for tea discrimination. 9 tea samples were discriminated by these tiny tongues on the basis of the unique fluorescence quenching effect caused by different tea components. The fluorescence quenching response results of 6 SCPNs to 9 tea samples are a synergistic work of varieties of mechanisms including the Forster resonance energy transfer. An 18-dimensional vector was obtained by recording the changes of RGB values of the sensor array, which was analyzed directly by linear discrimination analysis (LDA) to discriminate 9 tea samples along the axes of tea-manufacturing. The predicted results of this sensing system with 100% accuracy through a linear support vector machine (SVM) model suggested that the fluorescent sensor array-based electronic tongue will be a powerful tool to identify soluble analytes in the food industrial field with high accuracy and efficiency.