Table 3 ANOVA and model performance of full quadratic model and the refined model after variable selection.

From: Central Composite Design for Optimizing the Biosynthesis of Silver Nanoparticles using Plantago major Extract and Investigating Antibacterial, Antifungal and Antioxidant Activity

Analysis of variance (ANOVA)

Source of variation

Sum of square

DF

Mean square

F

p-value

FM

MM

FM

RM

FM

RM

FM

RM

FM

RM

A (Temp)

0.29

0.29

1

1

0.29

0.29

8.74

10.92

0.0131

0.0037

B (pH)

0.46

0.46

1

1

0.46

0.46

13.89

17.35

0.0033

0.0005

C (Vex)

0.26

0.26

1

1

0.26

0.26

7.83

9.78

0.0173

0.0055

D (VAg)

0.19

0.19

1

1

0.19

0.19

5.76

7.20

0.0352

0.0147

E (time)

5.409 ×10−3

5.409 ×10−3

1

1

5.409 ×10−3

5.409 ×10−3

0.16

0.20

0.6950

0.6578

AB

4.573 ×10−3

 

1

 

4.573 ×10−3

 

0.14

 

0.7183

 

AC

0.029

 

1

 

0.029

 

0.86

 

0.3726

 

AD

2. ×10−4

 

1

 

2.865 ×10−4

 

8.582 ×10−3

 

0.9279

 

AE

0.10

0.10

1

1

0.10

0.10

3.11

3.89

0.1055

0.0634

BC

0.086

0.086

1

1

0.086

0.086

2.58

3.22

0.1367

0.0886

BD

0.15

0.15

1

1

0.15

0.15

4.46

5.58

0.0584

0.0291

BE

4.820 ×10−3

 

1

 

4.820 ×10−3

 

0.14

 

0.7112

 

CD

0.024

 

1

 

0.024

 

0.71

 

0.4160

 

CE

0.18

0.18

1

1

0.18

0.18

5.28

6.60

0.0421

0.0188

DE

0.13

0.13

1

1

0.13

0.13

4.00

5.00

0.0708

0.0376

A2

0.092

0.11

1

1

0.092

0.11

2.77

3.97

0.1242

0.0610

B2

0.060

 

1

 

0.060

 

1.79

 

0.2076

 

C2

0.41

0.44

1

1

0.41

0.44

12.31

16.58

0.0049

0.0007

D2

6.989 ×10−3

 

1

 

6.989 ×10−3

 

0.21

 

0.6562

 

E2

9.349 ×10−3

 

1

 

9.349 ×10−3

 

0.28

 

0.6072

 

Model

2.53

2.38

20

12

0.13

0.20

3.78

7.44

0.0137

<0.0001

Residual

0.37

0.51

11

19

0.033

0.027

    

Lack of fit

0.18

0.32

6

14

0.031

0.023

0.84

0.63

0.5891

0.7710

Pure error

0.18

0.18

5

5

0.037

0.037

    

Total

2.89

2.89

31

31

      

Model statistics

R2 (Regression coefficient)

R2 (Adjusted)

R2 (Predicted)

Adequate precision

FM

RM

FM

RM

FM

RM

FM

RM

0.873

0.825

0.642

0.714

0.783

0.546

10.093

13.823

Equations in terms of actual factors

FM

RM

SPR Intensity =+3.50 3.97 × 10−3 Temp +0.69 [pH] −1.24 [Vex] +0.150 [VAg] + 9.90 time –7.51 × 10−4 [Temp × pH] +2.83×10−3 [Temp × Vex] +5.64 × 10−5 [Temp × VAg] −8.95 × 10−5 [Temp × time] +0.049 [pH × Vex] −0.013 [pH × VAg] −1.93 × 10−4 [pH × time] −7.73 × 10−3 [Vex × VAg] +1.75 × 10−3. [Vex × time] −3.045 × 10−4 [VAg × time] +2.50×10−4 [Temp2] −0.020 [pH2] +0.120 [Vex2] +6.17 × 10−4 [VAg2] −4.96 × 10−6 [time2]

SPR Intensity = −1.77 −0.0031 Temp +0.29 [pH] −1.34 [Vex] +0.164 [VAg] + 0.0071 [time] −9.00 × 10−5 [Temp × time] +0.049 [pH × Vex] −0.013 [pH × VAg] +1.75 × 10−3 [Vex × time] −3.00 × 10−4 [VAg × time] +2.6510−4 [Temp2] +0.122 [Vex2]

  1. DF = Degree of Freedmen, F = Fisher-ratio, R2 = Correlation Coefficient, FM = Full Model, RM = Refined model.