highly significantP < 0.01
The experimental data were fitted to a quadratic polynomial model, yielding the following regression equation: Y = 72.72 + 5.65 A − 4.07 B − 5.9 C + 2.62 AB + 0.5250 AC + 0.325 BC − 6.55 A 2 − 11.1 B 2 − 5.45 C 2 As shown in the ANOVA results (Table S4), the model is highly significant ( P < 0.01), while the lack-of-fit term is non-significant ( P > 0.05), indicating that the model accurately predicts the experimental data.