砖
荧光
基质(化学分析)
化学
偏最小二乘回归
主成分分析
化学计量学
光谱学
荧光光谱法
分析化学(期刊)
生物系统
模式识别(心理学)
色谱法
数学
人工智能
材料科学
计算机科学
统计
光学
物理
生物
复合材料
量子力学
作者
Yucheng Yuan,Jin Jiang,Zhaoguang Yang,Haipu Li,Bo Qiu
标识
DOI:10.1016/j.jfca.2022.104501
摘要
The present study sought to characterize and authenticate Anhua brick tea by coupling the excitation-emission matrix fluorescence spectroscopy with chemometric methods. A total of 230 samples belonging to 23 brands were collected. Four primary fluorophores were identified in the brick tea for the first time, including humic and fulic-like, heme-like, tryptophan-like substances, and theabrownin through the parallel factor analysis (PARAFAC) of the raw and theabrownin-spiked tea infusion data. The different types and brands of brick tea were processed respectively based on the PARAFAC factor scores and fluorescent data using four classifiers, including linear discriminate analysis, k-Nearest neighbors, partial least square discriminate analysis, and N-way partial least square discriminate analysis (NPLS-DA). The full fluorescent data combined with NPLS-DA showed the best classification results (96.5% for tea types and 98.3% for brands). In summary, the proposed methodology could be a potential tool for brand recognition of Anhua brick tea.
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