 |
| Figure 1: Standard curve of chlorpyrifos |
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| Figure 1: Standard curve of chlorpyrifos |
 |
| Figure 2: Effect of pH on chlorpyrifos-degrading rate |
 |
| Figure 3: Effect of temperature on chlorpyrifos-degrading rate |
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| Figure 4: Effect of inoculum concentration on chlorpyrifos-degrading rate |
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| Figure 5: Effect of pH on chlorpyrifos-degrading rate |
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| Figure 6: The 3D plots showing the effects of variables chlorpyrifos-degrading rate (A) The interactionof temperature and oscillator speed (B) The interaction of temperature and inoculum concentration (C) The interaction of temperature and pH (D) The interaction of oscillator speed and inoculum concentration (E) The interaction of oscillator speed and pH (F) The interaction of oinoculum concentration and pH |
Run |
X1 (℃) temperature |
X2(rpm) Oscillator speed
|
X2 (%) inoculum concentration
|
X4 pH
|
degradation Rate (%)
|
|||
|---|---|---|---|---|---|---|---|---|
1 |
0(35) |
0(1 |
-1(4) |
-1(6) |
79.89 |
|||
2 |
0 |
0 |
1(8) |
1(8) |
85.70 |
|||
3 |
0 |
1(160) |
0(6) |
-1 |
84.26 |
|||
4 |
1(40) |
1 |
0 |
0(7) |
89.89 |
|||
5 |
0 |
-1(80) |
0 |
1 |
83.31 |
|||
6 |
1 |
0 |
1 |
0 |
89.69 |
|||
7 |
-1(30) |
0 |
-1 |
0 |
79.59 |
|||
8 |
-1 |
0 |
0 |
-1 |
81.99 |
|||
9 |
0 |
0 |
0 |
0 |
94.09 |
|||
10 |
0 |
0 |
0 |
0 |
95.80 |
|||
11 |
-1 |
-1 |
0 |
0 |
78.39 |
|||
12 |
0 |
-1 |
0 |
-1 |
81.78 |
|||
13 |
1 |
0 |
-1 |
0 |
89.85 |
|||
14 |
-1 |
1 |
0 |
0 |
75.56 |
|||
15 |
0 |
1 |
0 |
1 |
93.45 |
|||
16 |
0 |
1 |
1 |
0 |
90.53 |
|||
17 |
1 |
0 |
0 |
1 |
77.88 |
|||
18 |
0 |
0 |
0 |
0 |
95.39 |
|||
19 |
0 |
0 |
0 |
0 |
96.60 |
|||
20 |
1 |
-1 |
0 |
0 |
82.09 |
|||
21 |
0 |
-1 |
1 |
0 |
82.60 |
|||
22 |
0 |
0 |
1 |
-1 |
92.51 |
|||
23 |
0 |
0 |
-1 |
1 |
84.96 |
|||
24 |
0 |
0 |
0 |
0 |
95.72 |
|||
25 |
-1 |
0 |
1 |
0 |
86.63 |
|||
26 |
1 |
0 |
0 |
1 |
88.15 |
|||
27 |
0 |
1 |
-1 |
0 |
82.19 |
|||
28 |
1 |
0 |
0 |
-1 |
89.03 |
|||
29 |
0 |
-1 |
-1 |
0 |
84.44 |
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Table 1: Experimental design with real value a of chlorpyrifos-degrading rate |
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Source |
Sum of squares |
df` |
Mean square |
F value |
p-value |
|||
|---|---|---|---|---|---|---|---|---|
Prob>F |
||||||||
Model |
951.28 |
14 |
67.95 |
11.87 |
<0.0001 |
|||
X1 |
197.32 |
1 |
197.32 |
34.46 |
<0.0001 |
|||
X2 |
45.12 |
1 |
45.12 |
7.88 |
0.0140 |
|||
X3 |
59.59 |
1 |
59.59 |
10.41 |
0.0061 |
|||
X4 |
1.33 |
1 |
1.33 |
0.23 |
0.6377 |
|||
X1*X2 |
28.25 |
1 |
28.25 |
4.93 |
0.0433 |
|||
X1*X3 |
12.96 |
1 |
12.96 |
2.26 |
0.1547 |
|||
X1*X4 |
2.61 |
1 |
2.61 |
0.46 |
0.5107 |
|||
X2*X3 |
25.91 |
1 |
25.91 |
4.52 |
0.0517 |
|||
X2*X4 |
14.67 |
1 |
14.67 |
2.56 |
0.1318 |
|||
X3*X4 |
35.28 |
1 |
35.28 |
6.16 |
0.0264 |
|||
X12 |
273.51 |
1 |
273.51 |
47.77 |
<0.0001 |
|||
X22 |
276.15 |
1 |
276.15 |
48.23 |
<0.0001 |
|||
X32 |
104.49 |
1 |
104.49 |
18.25 |
0.0008 |
|||
X42 |
144.65 |
1 |
144.65 |
25.26 |
0.0002 |
|||
Residual |
80.16 |
14 |
5.73 |
|
|
|||
Lack of Fit |
78.23 |
10 |
7.82 |
16.15 |
0.0082 |
|||
Pure Error |
1.94 |
4 |
0.48 |
|
|
|||
Cor Total |
1031.44 |
28 |
|
|
|
|||
Table 2: Model coefficient estimated by multiplies linear regression |
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