Chinese Journal of Tropical Crops ›› 2020, Vol. 41 ›› Issue (5): 1013-1021.DOI: 10.3969/j.issn.1000-2561.2020.05.023
• Agricultural Product Processing, Preservation, Storage, Analysis and Detection • Previous Articles Next Articles
LIU Xiaoping,LIU Lu,ZOU Yuke,LU Xuanchi,CHEN Anjun()
Received:
2019-06-21
Revised:
2019-08-07
Online:
2020-05-25
Published:
2020-06-15
Contact:
CHEN Anjun
CLC Number:
LIU Xiaoping,LIU Lu,ZOU Yuke,LU Xuanchi,CHEN Anjun. Response Surface Optimization of Enzymatic Extraction of Active Substances from Tamarind Pulp Based on Entropy Weight Method[J]. Chinese Journal of Tropical Crops, 2020, 41(5): 1013-1021.
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Fig. 1 Effect of solid-liquid ratio on extraction rate of polysaccharides, total phenolics and flavonoids from tamarind pulp Different lowercase letters indicate significant difference at 0.05 level between different extraction conditions.
Fig. 2 Effect of cellulase addition on extraction rate of polysaccharides, total phenolics and flavonoids from tamarind pulp Different lowercase letters indicate significant difference at 0.05 level between different extraction conditions.
Fig. 3 Effect of extraction time on extraction rate of polysaccharides, total phenolics and flavonoids from tamarind pulp Different lowercase letters indicate significant difference at 0.05 level between different extraction conditions.
Fig. 4 Effect of different extraction conditions on antioxidant activity of extract Different lowercase letters indicate significant difference at 0.05 level between different extraction conditions.
相关系数 Correlation coefficient | 多糖提取率 Polysaccharide extraction rate | 总酚提取率 Extraction rate of total phenolics | 总黄酮提取率 Extraction rate of total flavonoids | OH?清除能力 OH? scavenging activity | ABTS+?清除能力 ABTS+? scavenging activity | DPPH?清除能力 DPPH? scavenging activity |
---|---|---|---|---|---|---|
多糖提取率 | 1 | |||||
总酚提取率 | 0.767** | 1 | ||||
黄酮提取率 | 0.853** | 0.973** | 1 | |||
OH?清除能力 | 0.856** | 0.947** | 0.979** | 1 | ||
ABTS+?清除能力 | 0.908** | 0.901** | 0.962** | 0.958** | 1 | |
DPPH?清除能力 | 0.415 | 0.811** | 0.752** | 0.748** | 0.630* | 1 |
Tab. 1 Correlation analysis between extraction rate of active substances and the antioxidant capacity of extracts
相关系数 Correlation coefficient | 多糖提取率 Polysaccharide extraction rate | 总酚提取率 Extraction rate of total phenolics | 总黄酮提取率 Extraction rate of total flavonoids | OH?清除能力 OH? scavenging activity | ABTS+?清除能力 ABTS+? scavenging activity | DPPH?清除能力 DPPH? scavenging activity |
---|---|---|---|---|---|---|
多糖提取率 | 1 | |||||
总酚提取率 | 0.767** | 1 | ||||
黄酮提取率 | 0.853** | 0.973** | 1 | |||
OH?清除能力 | 0.856** | 0.947** | 0.979** | 1 | ||
ABTS+?清除能力 | 0.908** | 0.901** | 0.962** | 0.958** | 1 | |
DPPH?清除能力 | 0.415 | 0.811** | 0.752** | 0.748** | 0.630* | 1 |
水平 Level | (X1)提取时间 Extracting time/min | (X2)料液比 Solid-liquid ratio/(g·mL-1) | (X3)酶添加量 Cellulase content/‰ |
---|---|---|---|
1.682 | 73.64 | 1:14.05 | 2.21 |
1 | 60 | 1:12 | 1.80 |
0 | 40 | 1:9 | 1.20 |
-1 | 20 | 1:6 | 0.60 |
-1.682 | 6.36 | 1:3.95 | 0.19 |
Tab. 2 Factors and levels in quadratic orthogonal rotation combination design
水平 Level | (X1)提取时间 Extracting time/min | (X2)料液比 Solid-liquid ratio/(g·mL-1) | (X3)酶添加量 Cellulase content/‰ |
---|---|---|---|
1.682 | 73.64 | 1:14.05 | 2.21 |
1 | 60 | 1:12 | 1.80 |
0 | 40 | 1:9 | 1.20 |
-1 | 20 | 1:6 | 0.60 |
-1.682 | 6.36 | 1:3.95 | 0.19 |
序号 Number | X1 | X2 | X3 | Y1 | Y2 | Y3 | Y4 |
---|---|---|---|---|---|---|---|
1 | 1 | 1 | 1 | 12.52 | 88.45 | 4.72 | 3.75 |
2 | 1 | 1 | -1 | 11.11 | 86.75 | 4.04 | 3.03 |
3 | 1 | -1 | 1 | 10.99 | 82.45 | 3.45 | 3.14 |
4 | 1 | -1 | -1 | 10.18 | 79.44 | 3.13 | 2.23 |
5 | -1 | 1 | 1 | 11.79 | 83.38 | 4.03 | 3.11 |
6 | -1 | 1 | -1 | 10.43 | 84.76 | 3.48 | 2.32 |
7 | -1 | -1 | 1 | 10.23 | 85.73 | 3.07 | 2.84 |
8 | -1 | -1 | -1 | 8.99 | 79.39 | 2.84 | 1.88 |
9 | 1.682 | 0 | 0 | 12.69 | 85.27 | 4.14 | 3.35 |
10 | -1.682 | 0 | 0 | 11.26 | 83.35 | 3.34 | 2.89 |
11 | 0 | 1.682 | 0 | 10.64 | 89.72 | 4.17 | 3.55 |
12 | 0 | -1.682 | 0 | 8.52 | 78.16 | 2.86 | 1.91 |
13 | 0 | 0 | 1.682 | 12.03 | 88.48 | 4.00 | 3.44 |
14 | 0 | 0 | -1.682 | 9.85 | 84.34 | 3.26 | 2.22 |
15 | 0 | 0 | 0 | 11.70 | 86.69 | 4.46 | 4.23 |
16 | 0 | 0 | 0 | 12.23 | 86.85 | 4.41 | 3.95 |
17 | 0 | 0 | 0 | 12.39 | 86.62 | 4.47 | 3.88 |
18 | 0 | 0 | 0 | 12.11 | 86.44 | 4.37 | 4.06 |
19 | 0 | 0 | 0 | 12.34 | 85.62 | 4.44 | 4.48 |
20 | 0 | 0 | 0 | 12.22 | 87.49 | 4.32 | 4.10 |
21 | 0 | 0 | 0 | 11.67 | 87.06 | 4.37 | 4.20 |
22 | 0 | 0 | 0 | 12.98 | 87.18 | 4.39 | 4.10 |
23 | 0 | 0 | 0 | 12.56 | 83.90 | 4.41 | 4.34 |
Tab. 3 Experimental results of quadratic regression orthogonal rotation combination design
序号 Number | X1 | X2 | X3 | Y1 | Y2 | Y3 | Y4 |
---|---|---|---|---|---|---|---|
1 | 1 | 1 | 1 | 12.52 | 88.45 | 4.72 | 3.75 |
2 | 1 | 1 | -1 | 11.11 | 86.75 | 4.04 | 3.03 |
3 | 1 | -1 | 1 | 10.99 | 82.45 | 3.45 | 3.14 |
4 | 1 | -1 | -1 | 10.18 | 79.44 | 3.13 | 2.23 |
5 | -1 | 1 | 1 | 11.79 | 83.38 | 4.03 | 3.11 |
6 | -1 | 1 | -1 | 10.43 | 84.76 | 3.48 | 2.32 |
7 | -1 | -1 | 1 | 10.23 | 85.73 | 3.07 | 2.84 |
8 | -1 | -1 | -1 | 8.99 | 79.39 | 2.84 | 1.88 |
9 | 1.682 | 0 | 0 | 12.69 | 85.27 | 4.14 | 3.35 |
10 | -1.682 | 0 | 0 | 11.26 | 83.35 | 3.34 | 2.89 |
11 | 0 | 1.682 | 0 | 10.64 | 89.72 | 4.17 | 3.55 |
12 | 0 | -1.682 | 0 | 8.52 | 78.16 | 2.86 | 1.91 |
13 | 0 | 0 | 1.682 | 12.03 | 88.48 | 4.00 | 3.44 |
14 | 0 | 0 | -1.682 | 9.85 | 84.34 | 3.26 | 2.22 |
15 | 0 | 0 | 0 | 11.70 | 86.69 | 4.46 | 4.23 |
16 | 0 | 0 | 0 | 12.23 | 86.85 | 4.41 | 3.95 |
17 | 0 | 0 | 0 | 12.39 | 86.62 | 4.47 | 3.88 |
18 | 0 | 0 | 0 | 12.11 | 86.44 | 4.37 | 4.06 |
19 | 0 | 0 | 0 | 12.34 | 85.62 | 4.44 | 4.48 |
20 | 0 | 0 | 0 | 12.22 | 87.49 | 4.32 | 4.10 |
21 | 0 | 0 | 0 | 11.67 | 87.06 | 4.37 | 4.20 |
22 | 0 | 0 | 0 | 12.98 | 87.18 | 4.39 | 4.10 |
23 | 0 | 0 | 0 | 12.56 | 83.90 | 4.41 | 4.34 |
拟合方程Fitted equation | R2 | P | 失拟项 Lack of fit |
---|---|---|---|
Y1=-2.101 49+0.021 11X1+2.088 69X2+4.061 47X3-0.103 80X22-1.261 12X32 | 0.950 0 | <0.000 1 | 0.988 2 |
Y2=63.056 57+2.883 71X2+7.677 03X3+0.022 79X1X2-0.627 53X2X3-2.250 33×10-3X12 -0.120 50X22 | 0.856 1 | <0.000 1 | 0.166 4 |
Y3=-1.701 74+0.047 67X1+0.662 63X2+1.754 22X3+1.217 58×10-3X1X2+0.047 13X2X3 -5.832 89×10-4X12-0.034 54X22-0.753 63X32 | 0.993 8 | <0.000 1 | 0.156 4 |
Y4=-6.061 06+0.084 36X1+1.133 64X2+3.809 90X3-9.281 87×10-4X12-0.056 36X22 -1.310 98X32 | 0.960 8 | <0.000 1 | 0.464 6 |
Tab. 4 Regression equations of variables and analysis results
拟合方程Fitted equation | R2 | P | 失拟项 Lack of fit |
---|---|---|---|
Y1=-2.101 49+0.021 11X1+2.088 69X2+4.061 47X3-0.103 80X22-1.261 12X32 | 0.950 0 | <0.000 1 | 0.988 2 |
Y2=63.056 57+2.883 71X2+7.677 03X3+0.022 79X1X2-0.627 53X2X3-2.250 33×10-3X12 -0.120 50X22 | 0.856 1 | <0.000 1 | 0.166 4 |
Y3=-1.701 74+0.047 67X1+0.662 63X2+1.754 22X3+1.217 58×10-3X1X2+0.047 13X2X3 -5.832 89×10-4X12-0.034 54X22-0.753 63X32 | 0.993 8 | <0.000 1 | 0.156 4 |
Y4=-6.061 06+0.084 36X1+1.133 64X2+3.809 90X3-9.281 87×10-4X12-0.056 36X22 -1.310 98X32 | 0.960 8 | <0.000 1 | 0.464 6 |
序号 Number | Y1 | Y2 | Y3 | Y4 | 综合评分 Comprehensive scores | 序号 Number | Y1 | Y2 | Y3 | Y4 | 综合评分 Comprehensive scores |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 0.896 | 0.890 | 1.000 | 0.719 | 87.20 | 13 | 0.786 | 0.893 | 0.621 | 0.602 | 69.90 |
2 | 0.580 | 0.743 | 0.639 | 0.443 | 58.80 | 14 | 0.299 | 0.534 | 0.223 | 0.132 | 27.01 |
3 | 0.554 | 0.371 | 0.323 | 0.485 | 42.57 | 15 | 0.713 | 0.738 | 0.865 | 0.904 | 82.40 |
4 | 0.372 | 0.111 | 0.153 | 0.135 | 17.94 | 16 | 0.832 | 0.751 | 0.837 | 0.797 | 80.69 |
5 | 0.732 | 0.451 | 0.633 | 0.475 | 56.66 | 17 | 0.868 | 0.732 | 0.867 | 0.770 | 81.09 |
6 | 0.428 | 0.571 | 0.340 | 0.172 | 34.99 | 18 | 0.804 | 0.716 | 0.813 | 0.838 | 80.01 |
7 | 0.383 | 0.654 | 0.121 | 0.372 | 35.22 | 19 | 0.855 | 0.645 | 0.854 | 1.000 | 85.86 |
8 | 0.104 | 0.106 | 0.000 | 0.000 | 4.02 | 20 | 0.828 | 0.806 | 0.791 | 0.855 | 82.07 |
9 | 0.935 | 0.615 | 0.694 | 0.565 | 68.33 | 21 | 0.705 | 0.769 | 0.816 | 0.893 | 81.02 |
10 | 0.615 | 0.449 | 0.264 | 0.388 | 40.37 | 22 | 1.000 | 0.780 | 0.827 | 0.856 | 85.88 |
11 | 0.476 | 1.000 | 0.711 | 0.644 | 70.33 | 23 | 0.906 | 0.496 | 0.836 | 0.948 | 81.67 |
12 | 0.000 | 0.000 | 0.013 | 0.014 | 0.83 |
Tab. 5 Standardized data and comprehensive scores
序号 Number | Y1 | Y2 | Y3 | Y4 | 综合评分 Comprehensive scores | 序号 Number | Y1 | Y2 | Y3 | Y4 | 综合评分 Comprehensive scores |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 0.896 | 0.890 | 1.000 | 0.719 | 87.20 | 13 | 0.786 | 0.893 | 0.621 | 0.602 | 69.90 |
2 | 0.580 | 0.743 | 0.639 | 0.443 | 58.80 | 14 | 0.299 | 0.534 | 0.223 | 0.132 | 27.01 |
3 | 0.554 | 0.371 | 0.323 | 0.485 | 42.57 | 15 | 0.713 | 0.738 | 0.865 | 0.904 | 82.40 |
4 | 0.372 | 0.111 | 0.153 | 0.135 | 17.94 | 16 | 0.832 | 0.751 | 0.837 | 0.797 | 80.69 |
5 | 0.732 | 0.451 | 0.633 | 0.475 | 56.66 | 17 | 0.868 | 0.732 | 0.867 | 0.770 | 81.09 |
6 | 0.428 | 0.571 | 0.340 | 0.172 | 34.99 | 18 | 0.804 | 0.716 | 0.813 | 0.838 | 80.01 |
7 | 0.383 | 0.654 | 0.121 | 0.372 | 35.22 | 19 | 0.855 | 0.645 | 0.854 | 1.000 | 85.86 |
8 | 0.104 | 0.106 | 0.000 | 0.000 | 4.02 | 20 | 0.828 | 0.806 | 0.791 | 0.855 | 82.07 |
9 | 0.935 | 0.615 | 0.694 | 0.565 | 68.33 | 21 | 0.705 | 0.769 | 0.816 | 0.893 | 81.02 |
10 | 0.615 | 0.449 | 0.264 | 0.388 | 40.37 | 22 | 1.000 | 0.780 | 0.827 | 0.856 | 85.88 |
11 | 0.476 | 1.000 | 0.711 | 0.644 | 70.33 | 23 | 0.906 | 0.496 | 0.836 | 0.948 | 81.67 |
12 | 0.000 | 0.000 | 0.013 | 0.014 | 0.83 |
来源 Soruce of variation | 平方和 Sum of squares | 自由度 df | 均方 Mean square | F | P |
---|---|---|---|---|---|
模型 | 16 815.04 | 7 | 2 402.15 | 307.96 | <0.000 1 |
残差 | 117.00 | 15 | 7.80 | ||
失拟项 | 80.11 | 7 | 11.44 | 2.48 | 0.113 1 |
绝对误差 | 36.89 | 8 | 4.61 | <0.000 1 | |
总变异 | 16 932.04 | 22 |
Tab. 6 Variance analysis of the regression model of comprehensive score
来源 Soruce of variation | 平方和 Sum of squares | 自由度 df | 均方 Mean square | F | P |
---|---|---|---|---|---|
模型 | 16 815.04 | 7 | 2 402.15 | 307.96 | <0.000 1 |
残差 | 117.00 | 15 | 7.80 | ||
失拟项 | 80.11 | 7 | 11.44 | 2.48 | 0.113 1 |
绝对误差 | 36.89 | 8 | 4.61 | <0.000 1 | |
总变异 | 16 932.04 | 22 |
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