Table 1.
Analysis of variance (ANOVA) for the response surface quadratic model.
| Source | Df d | Mean Square | F-Value | p-Value |
|---|---|---|---|---|
| Model | 9 | 102.34 | 54.46 | <0.0001 |
| X1a | 1 | 4.71 | 2.51 | 0.1573 |
| X2b | 1 | 3.21 | 1.71 | 0.2323 |
| X3c | 1 | 94.60 | 50.34 | 0.0002 |
| X1X2 | 1 | 1.13 | 0.60 | 0.4627 |
| X1X3 | 1 | 0.14 | 0.075 | 0.7923 |
| X2X3 | 1 | 4.12 | 2.19 | 0.1822 |
| X1 2 | 1 | 39.75 | 21.15 | 0.0025 |
| X2 2 | 1 | 15.93 | 8.48 | 0.0226 |
| X3 2 | 1 | 719.26 | 382.74 | <0.0001 |
| Lack of fit | 3 | 13.15 | 4.38 | |
| Pure error | 4 | 0.000 | 0.000 | |
| R2 | 0.9859 | |||
| CV% | 1.76% |
a X1—enzyme concentration; b X2—enzymolysis time; c X3—enzymolysis temperature; d df—degrees of freedom; CV—coefficient of variation.