小种红茶茶多酚和咖啡碱近红外定量分析模型的建立

doi:10.13305/j.cnki.jts.2020.05.014

Abstract

Abstract: A total of 76 representative Souchong samples were studied. Quantitative models of tea polyphenols and caffeine of Souchong were established respectively by partial least squares (PLS). The chemical values of tea polyphenols and caffeine of 76 Souchong samples were measured by Chinese National Standard methods, combined with the near infrared spectrum. The results show that the R² and RMSEC values of tea polyphenols of calibration set were 97.59% and 0.566%. And the R² and RMSEP values of validation set were 95.06% and 0.855%. The R² and RMSEC values of caffeine of calibration set were 96.98% and 0.110%. And the R² and RMSEP values of validation set were 95.67% and 0.148%. The quantitative models had good prediction results, and could be used for rapid evaluation of the contents of tea polyphenols and caffeine in Souchong.

Key words: Souchong, near infrared spectroscopy (NIRS), tea polyphenols, caffeine, models

CLC Number:

LU Li, CHENG Xi, ZHANG Bo, SHEN Xiaoxia, LIU Yan, XIONG Li, YUAN Xiao, LI Yuanhua, LI Xinghui. Establishment of Predictive Model for Quantitative Analysis of Tea Polyphenols and Caffeine of Souchong by Near Infrared Spectroscopy[J]. Journal of Tea Science, 2020, 40(5): 689-695.

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Establishment of Predictive Model for Quantitative Analysis of Tea Polyphenols and Caffeine of Souchong by Near Infrared Spectroscopy

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