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Journal of Tea Science ›› 2020, Vol. 40 ›› Issue (5): 689-695.doi: 10.13305/j.cnki.jts.2020.05.014

• Research Paper • Previous Articles     Next Articles

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

LU Li1, CHENG Xi1, ZHANG Bo1, SHEN Xiaoxia1, LIU Yan1, XIONG Li1, YUAN Xiao2, LI Yuanhua1,*, LI Xinghui2,*   

  1. 1. College of Tea and Food Sciences, Wuyi University, Wuyishan 354300, China;
    2. College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China
  • Received:2020-06-12 Revised:2020-07-25 Online:2020-10-15 Published:2020-10-10

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: