Skip to main content

Table 2 Two-level factorial design of variables (in coded levels) with actual values and predicted response

From: Statistical optimization of xylanase production, using different agricultural wastes by Aspergillus oryzae MN894021, as a biological control of faba bean root diseases

Run

A

B

C

D

E

Xylanase activity (U/ml)

Substrate concentration (%)

Yeast extract (g/l)

(NH4)2SO4 (g/l)

KH2PO4 (g/l)

MgSO4.7H2O (g/l)

Actual response

Predicted response

1

2.5

9

6

2.5

2

0.8900

0.8688

2

2.5

9

2

1.5

3

0.6000

0.6350

3

1.5

9

2

2.5

2

0.6300

0.6025

4

1.5

9

2

1.5

3

0.6000

0.5950

5

1.5

9

6

1.5

2

0.7500

0.7725

6

2.5

7

6

1.5

2

0.7200

0.7388

7

2.5

9

2

2.5

3

0.6000

0.6438

8

1.5

7

6

2.5

3

0.5000

0.5063

9

2.5

9

2

2.5

2

0.7300

0.7275

10

1.5

9

6

2.5

3

0.7900

0.8225

11

1.5

9

6

2.5

2

0.7200

0.7113

12

2.5

7

6

1.5

3

0.7700

0.7775

13

2.5

7

6

2.5

2

0.7000

0.7025

14

2.5

9

6

1.5

2

0.9000

0.8550

15

2.5

7

2

2.5

2

0.7000

0.6813

16

1.5

7

6

1.5

2

0.5500

0.5863

17

1.5

7

2

1.5

3

0.4000

0.4388

18

1.5

7

2

2.5

3

0.4300

0.4125

19

2.5

7

2

2.5

3

0.6000

0.5625

20

1.5

7

6

2.5

2

0.6600

0.6150

21

1.5

9

6

1.5

3

0.7600

0.7563

22

2.5

9

6

1.5

3

0.8900

0.9238

23

2.5

7

6

2.5

3

0.7400

0.6788

24

1.5

9

2

1.5

2

0.5800

0.5313

25

2.5

7

2

1.5

2

0.4000

0.4250

26

2.5

9

6

2.5

3

0.8900

0.9050

27

2.5

7

2

1.5

3

0.4300

0.4338

28

1.5

7

6

1.5

3

0.6900

0.7000

29

1.5

7

2

1.5

2

0.3800

0.4100

30

2.5

9

2

1.5

2

0.7500

0.7513

31

1.5

7

2

2.5

2

0.3500

0.3513

32

1.5

9

2

2.5

3

0.5600

0.5388