茶氨酸
偏最小二乘回归
荧光
化学计量学
化学
检出限
分析化学(期刊)
纳米传感器
生物系统
色谱法
纳米技术
材料科学
食品科学
数学
绿茶
统计
物理
生物
量子力学
作者
Hengye Chen,Liuna Wei,Xiaoming Guo,Chengying Hai,Lu Xu,Lei Zhang,Wei Lan,Chunsong Zhou,Yuanbin She,Haiyan Fu
摘要
Abstract BACKGROUND The quality of tea is influenced by numerous factors, especially l‐ theanine, which is one of the important markers used to evaluate the sweetness and freshness of tea. Sensitive, rapid, and accurate detection of l ‐theanine is therefore useful to identify the grade and quality of tea. RESULTS A high‐sensitivity, paper‐based fluorescent sensor combined with chemometrics was established to detect l‐ theanine in tea water based on CdTe quantum dots / corn carbon dots and nano tetra pyridel‐porphine zinc (ZnTPyP). To verify the reliability of this method, fluorescence spectra and fluorescence‐visualized paper‐based sensors were compared. The fluorescence spectrum method demonstrated a linear range of 1 to 10 000 nmol L −1 and a limit of detection (LOD) of 0.19 nmol L −1 . In the fluorescence‐visualized paper‐based sensors there was a linear range of 10–1000 nmol L −1 , and the LOD was 10 nmol L −1 . Partial least squares discriminant analysis (PLSDA) and partial least squares regression analysis (PLSR) were used successfully to determine l ‐theanine accurately in tea water with this approach. The accuracy of the PLSDA model was 100% both in the training set and the predicting set, and the correlation coefficient between the actual concentration and the predicted concentration was greater than 0.9997 in the PLSR model. CONCLUSION This fluorescence‐visualized paper‐based sensor, combined with chemometrics, could be applied efficiently to the practical analysis of tea water samples, which provides a new idea to ensure the flavor and quality of tea. © 2020 Society of Chemical Industry
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