Chemistry and Industry of Forest Products ›› 2021, Vol. 41 ›› Issue (5): 85-92.doi: 10.3969/j.issn.0253-2417.2021.05.013
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Received:
2020-10-19
Online:
2021-10-28
Published:
2021-11-04
CLC Number:
Xiao MA, Gang CHEN. Response Surface Optimization of Papain-assisted Extraction of Polyphenol and Flavonoids form Paeonia suffruticosa Cortex and Its Antioxidant Activity[J]. Chemistry and Industry of Forest Products, 2021, 41(5): 85-92.
Table 1
Design and results of response surface experiment"
序号 No. | X1酶添加量/(U·g-1) enzyme amount | X2液料比(mL∶g) liquid-to-material ratio | X3 pH值pH value | X4酶解时间/min enzymolysis time | 多酚得率/(mg·g-1) polyphenol yield | 总黄酮得率/(mg·g-1) flavonoids yield | DPPH·清除率/% DPPH· scavenging rate |
1 | 200 | 15∶1 | 6.0 | 120 | 17.614 | 35.073 | 31.298 |
2 | 600 | 15∶1 | 6.0 | 120 | 18.472 | 34.317 | 58.439 |
3 | 200 | 25∶1 | 6.0 | 120 | 28.016 | 34.594 | 61.500 |
4 | 600 | 25∶1 | 6.0 | 120 | 29.446 | 35.619 | 53.101 |
5 | 400 | 20∶1 | 5.0 | 90 | 24.683 | 32.814 | 57.372 |
6 | 400 | 20∶1 | 7.0 | 90 | 22.368 | 36.095 | 42.368 |
7 | 400 | 20∶1 | 5.0 | 150 | 22.881 | 38.753 | 49.024 |
8 | 400 | 20∶1 | 7.0 | 150 | 24.241 | 33.588 | 49.830 |
9 | 200 | 20∶1 | 6.0 | 90 | 21.827 | 33.887 | 50.753 |
10 | 600 | 20∶1 | 6.0 | 90 | 24.692 | 35.329 | 52.118 |
11 | 200 | 20∶1 | 6.0 | 150 | 22.431 | 38.840 | 54.346 |
12 | 600 | 20∶1 | 6.0 | 150 | 23.377 | 29.534 | 59.551 |
13 | 400 | 15∶1 | 5.0 | 120 | 16.877 | 38.530 | 40.273 |
14 | 400 | 25∶1 | 5.0 | 120 | 30.505 | 36.503 | 64.278 |
15 | 400 | 15∶1 | 7.0 | 120 | 18.134 | 36.997 | 45.990 |
16 | 400 | 25∶1 | 7.0 | 120 | 28.838 | 34.191 | 42.239 |
17 | 200 | 20∶1 | 5.0 | 120 | 24.458 | 34.125 | 45.761 |
18 | 600 | 20∶1 | 5.0 | 120 | 24.079 | 36.397 | 45.291 |
19 | 200 | 20∶1 | 7.0 | 120 | 23.422 | 34.458 | 45.096 |
20 | 600 | 20∶1 | 7.0 | 120 | 23.566 | 38.808 | 45.851 |
21 | 400 | 15∶1 | 6.0 | 90 | 19.100 | 34.492 | 50.855 |
22 | 400 | 25∶1 | 6.0 | 90 | 28.061 | 33.342 | 47.905 |
23 | 400 | 15∶1 | 6.0 | 150 | 18.208 | 36.696 | 55.317 |
24 | 400 | 25∶1 | 6.0 | 150 | 29.164 | 35.075 | 56.664 |
25 | 400 | 20∶1 | 6.0 | 120 | 30.899 | 49.389 | 75.508 |
26 | 400 | 20∶1 | 6.0 | 120 | 30.358 | 47.605 | 71.854 |
27 | 400 | 20∶1 | 6.0 | 120 | 30.257 | 46.690 | 71.520 |
28 | 400 | 20∶1 | 6.0 | 120 | 29.716 | 47.861 | 72.127 |
29 | 400 | 20∶1 | 6.0 | 120 | 29.547 | 47.339 | 75.346 |
Table 2
Analysisi of variance for the regression equation of polyphenol yield"
方差来源 source | 平方和 sum of squares | 自由度 df | 均方 mean square | F值 F value | P值 P value |
模型 model | 540.76 | 14 | 38.63 | 87.19 | < 0.0001 |
X1 | 2.87 | 1 | 2.87 | 6.47 | 0.0234 |
X2 | 337.35 | 1 | 337.35 | 761.46 | < 0.0001 |
X3 | 2.01 | 1 | 2.01 | 4.54 | 0.0513 |
X4 | 0.015 | 1 | 0.015 | 0.034 | 0.8554 |
X1X2 | 0.082 | 1 | 0.082 | 0.18 | 0.6739 |
X1X3 | 0.068 | 1 | 0.068 | 0.15 | 0.7006 |
X1X4 | 0.92 | 1 | 0.92 | 2.08 | 0.1714 |
X2X3 | 6.06 | 1 | 6.06 | 13.68 | 0.0024 |
X2X4 | 1.00 | 1 | 1.00 | 2.25 | 0.1561 |
X3X4 | 3.38 | 1 | 3.38 | 7.62 | 0.0153 |
X12 | 72.31 | 1 | 72.31 | 163.21 | < 0.0001 |
X22 | 77.62 | 1 | 77.62 | 175.20 | < 0.0001 |
X32 | 68.81 | 1 | 68.81 | 155.32 | < 0.0001 |
X42 | 74.29 | 1 | 74.29 | 167.70 | < 0.0001 |
残差 residual | 6.20 | 14 | 0.44 | ||
失拟项 lack of fit | 5.04 | 10 | 0.50 | 1.73 | 0.3153 |
纯误差 pure error | 1.17 | 4 | 0.29 | ||
总差 total error | 546.97 | 28 |
Table 3
Analysis of variance for the regression equation of flavonoids yield"
方差来源 source | 平方和 sum of squares | 自由度 df | 均方 mean square | F值 F value | P值 P value |
模型 model | 709.32 | 14 | 50.67 | 16.02 | < 0.0001 |
X1 | 0.079 | 1 | 0.079 | 0.025 | 0.8768 |
X2 | 3.83 | 1 | 3.83 | 1.21 | 0.2898 |
X3 | 0.74 | 1 | 0.74 | 0.23 | 0.6354 |
X4 | 3.55 | 1 | 3.55 | 1.12 | 0.3074 |
X1X2 | 0.79 | 1 | 0.79 | 0.25 | 0.6243 |
X1X3 | 1.08 | 1 | 1.08 | 0.34 | 0.5685 |
X1X4 | 28.88 | 1 | 28.88 | 9.13 | 0.0091 |
X2X3 | 0.15 | 1 | 0.15 | 0.048 | 0.8298 |
X2X4 | 0.056 | 1 | 0.056 | 0.018 | 0.8964 |
X3X4 | 17.84 | 1 | 17.84 | 5.64 | 0.0324 |
X12 | 282.69 | 1 | 282.69 | 89.38 | < 0.0001 |
X22 | 237.07 | 1 | 237.07 | 74.96 | < 0.0001 |
X32 | 183.35 | 1 | 183.35 | 57.97 | < 0.0001 |
X42 | 310.49 | 1 | 310.49 | 98.17 | < 0.0001 |
残差 residual | 44.28 | 14 | 3.16 | ||
失拟项 lack of fit | 40.27 | 10 | 4.03 | 5.25 | 0.0961 |
纯误差 pure error | 4.01 | 4 | 1.00 | ||
总差 total error | 753.60 | 28 |
Table 4
Analysis of variance for the regression equation of DPPH radical scavenging rate"
方差来源 source | 平方和 sum of squares | 自由度 df | 均方 mean square | F值 F value | P值 P value |
模型 model | 3294.06 | 14 | 235.29 | 13.43 | < 0.0001 |
X1 | 54.60 | 1 | 54.60 | 3.12 | 0.0993 |
X2 | 157.80 | 1 | 157.80 | 9.01 | 0.0095 |
X3 | 78.16 | 1 | 78.16 | 4.46 | 0.0531 |
X4 | 45.47 | 1 | 45.47 | 2.60 | 0.1295 |
X1X2 | 315.79 | 1 | 315.79 | 18.03 | 0.0008 |
X1X3 | 0.38 | 1 | 0.38 | 0.021 | 0.8857 |
X1X4 | 3.69 | 1 | 3.69 | 0.21 | 0.6535 |
X2X3 | 192.59 | 1 | 192.59 | 10.99 | 0.0051 |
X2X4 | 4.62 | 1 | 4.62 | 0.26 | 0.6157 |
X3X4 | 62.49 | 1 | 62.49 | 3.57 | 0.0798 |
X12 | 852.61 | 1 | 852.61 | 48.67 | < 0.0001 |
X22 | 766.51 | 1 | 766.51 | 43.75 | < 0.0001 |
X32 | 1494.97 | 1 | 1494.97 | 85.34 | < 0.0001 |
X42 | 478.64 | 1 | 478.64 | 27.32 | 0.0001 |
残差 residual | 245.25 | 14 | 17.52 | ||
失拟项 lack of fit | 229.56 | 10 | 22.96 | 5.85 | 0.0516 |
纯误差 pure error | 15.69 | 4 | 3.92 | ||
总差 total error | 3539.31 | 28 |
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