Analysis of main aroma components of Zherong white tea and establishment of machine learning model for sensory evaluation

In summary, PTR-TOF-MS combined with PCA and OPLS-DA, among other analytical techniques, enables more effective identification of the 18 key aroma compounds in Zhongrong white tea. The BP model demonstrates high accuracy in predicting aroma sensory scores, as evidenced by a coefficient of determination (R²) value approaching 1. © 2025 Society of Chemical Industry.