期刊
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
卷 109, 期 -, 页码 -出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jfca.2022.104501
关键词
Dark tea; Multidimensional fluorescence; PARAFAC; NPLS-DA; Chemometrics; Classification
The present study characterized and authenticated Anhua brick tea using excitation-emission matrix fluorescence spectroscopy and chemometric methods. Four primary fluorophores were identified for the first time, and various classifiers were used to process different types and brands of brick tea. Results showed that the combination of full fluorescent data and NPLS-DA achieved the best classification results.
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据