Table 3 ANOVA for the response surface Box–Behnken quadratic model.

From: Optimisation of Goose oil extraction process by response surface methodology

Source

Sum of

df

Mean

F Value

P Value

significance

Model

1692.81

14

120.92

16.69

< 0.0001

*

A-ultrasonic power

1.89

1

1.89

0.2607

0.6176

B-withdrawal time

20.86

1

20.86

2.88

0.1118

C-material-liquid ratio

222.48

1

222.48

30.72

< 0.0001

**

D-extraction temperature

316.73

1

316.73

43.73

< 0.0001

**

AB

96.63

1

96.63

13.34

0.0026

*

AC

33.64

1

33.64

4.64

0.049

AD

5.71

1

5.71

0.7886

0.3895

BC

3.71

1

3.71

0.5116

0.4862

BD

6.33

1

6.33

0.8733

0.3659

CD

7.02

1

7.02

0.9696

0.3415

333.51

1

333.51

46.05

< 0.0001

**

330.26

1

330.26

45.6

< 0.0001

**

563.34

1

563.34

77.78

< 0.0001

**

278.86

1

278.86

38.5

< 0.0001

**

Residual

101.4

14

7.24

Lack of fit

71.92

10

7.19

0.9756

0.5597

Pure error

29.49

4

7.37

Cor total

1794.22

28

R2 = 0.9435

  1. Note: P-value < 0.05 indicates significance; P-value < 0.01 indicates limiting significance; * in the table indicates significance; ** indicates limiting significance. larger F-value indicates better fit.