Table 6 Analysis of variance (ANOVA) for response surface quadratic model of Cu(II) elimination using GFLE nanocomposite.

From: Separation of copper ions by nanocomposites using adsorption process

Std. order

Coded variables

Responsea

X1

X2

X3

X4

YObs

YPer

1

2

(− 1)

170

(− 1)

67.50

(− 1)

30

(− 1)

150

138.71

2

4

(+ 1)

170

(− 1)

67.50

(− 1)

30

(− 1)

150

141.94

3

2

(− 1)

390

(+ 1)

67.50

(− 1)

30

(− 1)

305

298.19

4

4

(+ 1)

390

(+ 1)

67.50

(− 1)

30

(− 1)

342.5

337.04

5

2

(− 1)

170

(− 1)

67.50

(− 1)

50

(+ 1)

132.5

129.33

6

4

(+ 1)

170

(− 1)

67.50

(− 1)

50

(+ 1)

142.5

132.56

7

2

(− 1)

390

(+ 1)

67.50

(− 1)

50

(+ 1)

300

228.81

8

4

(+ 1)

390

(+ 1)

67.50

(− 1)

50

(+ 1)

337.5

327.67

9

2

(− 1)

170

(− 1)

142.5

(+ 1)

30

(− 1)

152.5

138.92

10

4

(+ 1)

170

(− 1)

142.5

(+ 1)

30

(− 1)

160

142.15

11

2

(− 1)

390

(+ 1)

142.5

(+ 1)

30

(− 1)

302.5

298.40

12

4

(+ 1)

390

(+ 1)

142.5

(+ 1)

30

(− 1)

342.5

337.25

13

2

(− 1)

170

(− 1)

142.5

(+ 1)

50

(+ 1)

127.5

129.54

14

4

(+ 1)

170

(− 1)

142.5

(+ 1)

50

(+ 1)

137.5

132.77

15

2

(− 1)

390

(+ 1)

142.5

(+ 1)

50

(+ 1)

305

289.02

16

4

(+ 1)

390

(+ 1)

142.5

(+ 1)

50

(+ 1)

332.5

327.87

17

1

(− 2)

280

(0)

105

(0)

40

(0)

185

190.50

18

5

(+ 2)

280

(0)

105

(0)

40

(0)

212.5

232.58

19

3

(0)

60

(− 2)

105

(0)

40

(0)

52.5

73

20

3

(0)

500

(+ 2)

105

(0)

40

(0)

422.5

427.58

21

3

(0)

280

(0)

105

(0)

20

(− 2)

192.5

215.92

22

3

(0)

280

(0)

105

(0)

60

(+ 2)

195

197.17

23

3

(0)

280

(0)

30

(− 2)

40

(0)

220

228.95

24

3

(0)

280

(0)

180

(+ 2)

40

(0)

225

229.37

25

3

(0)

280

(0)

105

(0)

40

(0)

226.3

229.16

26

3

(0)

280

(0)

105

(0)

40

(0)

227.5

229.16

27

3

(0)

280

(0)

105

(0)

40

(0)

227.5

229.16

28

3

(0)

280

(0)

105

(0)

40

(0)

227.5

229.16

29

3

(0)

280

(0)

105

(0)

40

(0)

227.5

229.16

30

3

(0)

280

(0)

105

(0)

40

(0)

226.4

229.16

  1. R2 = 0.9883; Adj R2 = 0.9839, Pred R2 = 0.9560, Coefficient of variance = 4.64%.
  2. a p < 0.01, highly significant; 0.01 < p < 0.05 significant; p > 0.05, not significant.