Table 3. ANOVA for Response Surface Polynomial Model of All Independent Variablea.
| Yield
(%) |
DPPH
(%) |
ABTS
(%) |
TPC(mg/g) |
TFC
(mg QAE/g DW) |
||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Source | F-value | p-value | F-value | p-value | F-value | p-value | F-value | p-value | F-value | p-value |
| Model | 34.54 | <0.0001 | 51.1 | <0.0001 | 20.36 | <0.0001 | 151.73 | <0.0001 | 217.1 | <0.0001 |
| X1-Rising Time | 0.0802 | 0.7808 | 0.714 | 0.4114 | 1.62 | 0.2222 | 6.03 | 0.0268 | 11.48 | 0.0041 |
| X2-Temp | 136.87 | <0.0001 | 93.9 | <0.0001 | 14.16 | 0.0019 | 5.52 | 0.0329 | 386.93 | <0.0001 |
| X3-L/S | 10.99 | 0.0047 | 12.9 | 0.0027 | 3.42 | 0.0843 | 6.42 | 0.0229 | 35.96 | <0.0001 |
| X4-Holding Time | 32.69 | <0.0001 | 129.93 | <0.0001 | 41.57 | <0.0001 | 181.01 | <0.0001 | 4.47 | 0.0517 |
| X1X2 | 27.72 | <0.0001 | 0.0316 | 0.8613 | 0.9746 | 0.3392 | 29.6 | <0.0001 | 8.78 | 0.0097 |
| X1X3 | 20.75 | 0.0004 | 0.2406 | 0.6308 | 1.26 | 0.2796 | 1.89 | 0.1891 | 1.46 | 0.2463 |
| X1X4 | 2.47 | 0.1366 | 0.1509 | 0.7031 | 1.72 | 0.2099 | 0.7178 | 0.4102 | 10.21 | 0.006 |
| X2X3 | 35.76 | <0.0001 | 73.66 | <0.0001 | 12.76 | 0.0028 | 94.95 | <0.0001 | 7.44 | 0.0156 |
| X2X4 | 20.20 | 0.0004 | 12.5 | 0.003 | 19.17 | 0.0005 | 72.73 | <0.0001 | 6.58 | 0.0215 |
| X3X4 | 8.07 | 0.0124 | 4.56 | 0.0497 | 8.01 | 0.0127 | 41.01 | <0.0001 | 3.03 | 0.1021 |
| X12 | 0.0347 | 0.8547 | 8.59 | 0.0103 | 10.59 | 0.0053 | 41.44 | <0.0001 | 223.67 | <0.0001 |
| X22 | 54.90 | <0.0001 | 11.9 | 0.0036 | 7.22 | 0.0169 | 565.47 | <0.0001 | 589.37 | <0.0001 |
| X32 | 2.62 | 0.1265 | 5.04 | 0.0403 | 0.0081 | 0.9297 | 45.66 | <0.0001 | 22.98 | 0.0002 |
| X42 | 5.53 | 0.0328 | 88.91 | <0.0001 | 64.41 | <0.0001 | 0.6226 | 0.4424 | 13.02 | 0.0026 |
| LOF | 0.716 | 0.6953 | 3.01 | 0.118 | 0.7785 | 0.6568 | 0.7876 | 0.6513 | 2.94 | 0.1231 |
| CV% | 3.57 | 5.56 | 7.51 | 2.65 | 3.05 | |||||
| PRESS | 57.3 | 712.37 | 912.01 | 124.9 | 147.86 | |||||
| R2 | 0.97 | 0.9795 | 0.95 | 0.993 | 0.9951 | |||||
| Adjusted R2 | 0.94 | 0.9603 | 0.90 | 0.986 | 0.9905 | |||||
| Predicted R2 | 0.91 | 0.9042 | 0.87 | 0.975 | 0.9813 | |||||
| Adeq Precision | 23.2 | 23.587 | 15.45 | 39.56 | 42.7768 | |||||
| AAD | 0.585 | 1.9 | 2.521 | 0.833 | 0.83 | |||||
| MSE | 0.618 | 5.1 | 12.84 | 1.151 | 1.29 | |||||
| RSME | 0.786 | 2.3 | 3.582 | 1.073 | 1.14 | |||||
| MPE | 0.018 | 0.1 | 0.171 | 0.017 | 0.02 | |||||
LOF: Lack of Fit; CV: Coefficients of variation; AAD: average absolute deviation; MSE: mean square error; RSME: root-mean-square error; MPE: mean percentage error.