highly significantp < 0.01
Regression analysis generated the following quadratic polynomial equation: Y = 21.83 − 0.7314 × A − 0.6930 × B − 0.8540 × C + 0.0606 × A B − 0.3878 × A C − 0.7949 × B C − 3.49 × A 2 − 0.9715 × B 2 − 0.7763 × C 2 Analysis of variance showed that the model was highly significant (p < 0.01), while the lack of fit was not significant (p = 0.1564), indicating that the model was suitable for describing and optimizing the wine-steaming process of D huoshanense ( Table 4 ).