Table 3.
Regression analysis summary for responses particle size (PS; Y1), polydispersity index (PDI; Y2), and entrapment efficiency (EE; Y3) for fitting into quadratic equation.
| Response Surface Quadratic Model | R-Squared | Adj R-Squared | Pred R-Squared | Adeq Precision | PRESS | % CV | Mean | SD |
|---|---|---|---|---|---|---|---|---|
| Response 1 (Y1) | 0.9970 | 0.9940 | 0.9853 | 79.146 | 128.59 | 1.04 | 172.82 | 1.81 |
| Response 2 (Y2) | 0.9942 | 0.9867 | 0.9476 | 28.134 | 1.874 × 10−3 | 2.16 | 0.25 | 5.457 × 10−3 |
| Response 3 (Y3) | 0.9935 | 0.9852 | 0.9799 | 39.150 | 36.26 | 1.74 | 74.11 | 1.29 |
| PS = +173.16 – 5.12 × X1 – 8.37 × X2 – 25.75 × X3 + 2.50 × X1 × X2 + 22.75 × X1 × X3 – 11.25 × X2 × X3 + 2.14 × X12 – 2.86 × X22 | ||||||||
| PDI = +0.21 – 0.036 × X1 + 0.017 × X2 + 0.016 × X3 + 8.500E − 0.03 × X1 × X2 – 7.250 – 0.03 × X1 × X3 – 0.035 × X2 × X3 + 0.03 × X12 + 0.040 × X22 + 0.028 × X32 | ||||||||
| EE = +76.98 + 13.00 × X1 − 2.37 × X2 + 3.13 × X3 + 5.50 × X1 × X2 − 2.00 × X1 × X3 – 1.75 × X2 × X3 − 5.37 × X12 + 1.88 × X22 − 2.61 × X32 | ||||||||