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基于 CdTe 量子点/玉米碳点和纳米卟啉的荧光可视化纸基传感器用于茶叶水中 l-茶氨酸的测定及化学计量学研究。

Determination of l-theanine in tea water using fluorescence-visualized paper-based sensors based on CdTe quantum dots/corn carbon dots and nano-porphyrin with chemometrics.

机构信息

The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central University for Nationalities, Wuhan, China.

College of Material and Chemical Engineering, Tongren University, Tongren, China.

出版信息

J Sci Food Agric. 2021 Apr;101(6):2552-2560. doi: 10.1002/jsfa.10882. Epub 2020 Oct 31.

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 and a limit of detection (LOD) of 0.19 nmol L . In the fluorescence-visualized paper-based sensors there was a linear range of 10-1000 nmol L , and the LOD was 10 nmol L . 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.

摘要

背景

茶叶的品质受到众多因素的影响,其中茶氨酸是评价茶叶甘甜和清新度的重要指标之一。因此,对茶氨酸进行灵敏、快速、准确的检测,有助于鉴别茶叶的等级和品质。

结果

建立了一种基于 CdTe 量子点/玉米碳点和纳米四吡咯卟啉锌(ZnTPyP)的高灵敏度、纸基荧光传感器,并结合化学计量学方法来检测茶水中的茶氨酸。为了验证该方法的可靠性,比较了荧光光谱法和荧光可视化纸基传感器。荧光光谱法的线性范围为 1 至 10000nmol/L,检出限(LOD)为 0.19nmol/L。在荧光可视化纸基传感器中,线性范围为 10 至 1000nmol/L,LOD 为 10nmol/L。偏最小二乘判别分析(PLSDA)和偏最小二乘回归分析(PLSR)成功地用于准确测定茶水中的茶氨酸。该方法的 PLSDA 模型在训练集和预测集中的准确率均为 100%,PLSR 模型中实际浓度与预测浓度之间的相关系数大于 0.9997。

结论

该荧光可视化纸基传感器结合化学计量学可有效地应用于实际的茶水样品分析,为确保茶叶的风味和品质提供了新的思路。 © 2020 英国化学学会。

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