Abstract:To explore a scientific method for identifying the aging years of raw Pu-er tea, a function model with a strong correlation was constructed on the contents of multiple quality components of 21 samples with aging years ranging from 1 to 32 years, and the model was applied to verify the identification of the aging years of 23 samples from different sources. The results showed that the color difference values of L*, a*, and b* of the raw Pu-er tea infusion, as well as the contents of 8 indices including caffeine, ester-type catechins, total catechins, gallic acid, and theabrownin, were strongly correlated with the aging years. The correlation coefficients of the unary quadratic regression equations were all greater than 0.9, and those of the linear equations were greater than 0.8. Thus, the aging years of unknown samples could be calculated based on these contents. For the verification samples, it was found that for samples with aging years less than 24 years, the average value calculated using the two equations for the 8 indices was preferably taken as the computed value. Among the 13 samples, the calculated aging years of 11 samples differed from the actual values by 0.1 to 3.4 years, while those of the remaining 2 samples differed by 5.3 to 6 years. For samples with aging years ranging from 28 to 100 years, the linear equations of the 4 index components, namely the color difference values of L*, a*, and b* and the content of theabrownin, were preferably used for calculation. Among the 10 samples, the calculated aging years of 6 samples were relatively close to the actual storage years. In conclusion, by exploring the correlation between the contents of multiple quality components in raw Pu-er tea and the aging years, a functional model was established, which provides a convenient and feasible method for identifying the aging years of raw Pu-er tea. The required instruments and determination methods for the identification were all conventional, and they had a practical application value.