Chemistry and Industry of Forest Products ›› 2020, Vol. 40 ›› Issue (1): 68-76.doi: 10.3969/j.issn.0253-2417.2020.01.010
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Liang CHEN1,2(),Guiping ZHAN2,Ying LU1,Jiaxing LI1,2,Ji YU2,Chengjin MA1,2,Maojun YAO1,2,*()
Received:
2019-07-11
Online:
2020-02-28
Published:
2020-03-06
Contact:
Maojun YAO
E-mail:936785438@qq.com;yaomaojun@126.com
Supported by:
CLC Number:
Liang CHEN,Guiping ZHAN,Ying LU,Jiaxing LI,Ji YU,Chengjin MA,Maojun YAO. Preparation and Stability of Eucommia ulmoides Oliv.Seed Oil Liposomes[J]. Chemistry and Industry of Forest Products, 2020, 40(1): 68-76.
Table 1
Plackett-Burman design matrix and corresponding results"
序号 No. | X1 | X2 | X3 | X4 | X5 | X6 | 包埋率/% encapsulation efficiency |
1 | 5:1 | 3:1 | 25 | 7.2 | 6 | 240 | 69.92 |
2 | 5:1 | 5:1 | 15 | 7.2 | 14 | 240 | 68.97 |
3 | 3:1 | 3:1 | 15 | 6.8 | 6 | 160 | 65.72 |
4 | 3:1 | 5:1 | 25 | 7.2 | 6 | 160 | 67.79 |
5 | 5:1 | 5:1 | 15 | 6.8 | 6 | 240 | 68.13 |
6 | 3:1 | 5:1 | 15 | 6.8 | 14 | 160 | 66.44 |
7 | 5:1 | 5:1 | 25 | 6.8 | 6 | 160 | 69.48 |
8 | 5:1 | 3:1 | 25 | 7.2 | 14 | 160 | 67.55 |
9 | 5:1 | 3:1 | 15 | 6.8 | 14 | 160 | 67.24 |
10 | 3:1 | 3:1 | 25 | 6.8 | 14 | 240 | 61.62 |
11 | 3:1 | 5:1 | 25 | 6.8 | 14 | 240 | 64.59 |
12 | 3:1 | 3:1 | 15 | 7.2 | 6 | 240 | 65.35 |
Table 2
Analysis of variance for Plackett-Burman"
方差来源 source | 平方和 sum of square | 自由度 df | 均方 mean square | F值 F value | P值 P value | 显著性 significance |
模型model | 5.607×10-3 | 6 | 9.345×10-4 | 11.52 | 0.0084 | ** |
X1 | 3.260×10-3 | 1 | 3.260×10-3 | 40.02 | 0.0014 | ** |
X2 | 5.333×10-4 | 1 | 5.333×10-4 | 6.58 | 0.0504 | |
X3 | 6.750×10-6 | 1 | 6.750×10-6 | 0.083 | 0.7846 | |
X4 | 7.115×10-4 | 1 | 7.115×10-4 | 8.77 | 0.0315 | * |
X5 | 8.300×10-4 | 1 | 8.300×10-4 | 10.23 | 0.0240 | * |
X6 | 2.651×10-4 | 1 | 2.651×10-4 | 3.27 | 0.1304 | |
残差residual | 4.055×10-4 | 5 | 8.111×10-5 | |||
总误差cor total | 6.013×10-3 | 11 |
Table 4
Design and results of Box-Behnken experiment"
序号 No. | X1 | X4 | X5 | 包埋率/% encapsulation efficiency |
1 | 3.0:1 | 6.9 | 14 | 73.43 |
2 | 3.5:1 | 7.0 | 10 | 68.59 |
3 | 3.5:1 | 7.0 | 14 | 68.03 |
4 | 3.5:1 | 6.9 | 12 | 73.80 |
5 | 4.0:1 | 6.9 | 10 | 69.43 |
6 | 4.0:1 | 7.0 | 12 | 67.01 |
7 | 3.5:1 | 6.9 | 12 | 73.99 |
8 | 3.0:1 | 6.9 | 10 | 72.16 |
9 | 4.0:1 | 6.9 | 14 | 68.76 |
10 | 4.0:1 | 6.8 | 12 | 70.39 |
11 | 3.0:1 | 6.8 | 12 | 71.86 |
12 | 3.5:1 | 6.9 | 12 | 73.58 |
13 | 3.0:1 | 7.0 | 12 | 72.42 |
14 | 3.5:1 | 6.8 | 14 | 71.14 |
15 | 3.5:1 | 6.9 | 12 | 74.17 |
16 | 3.5:1 | 6.9 | 12 | 73.50 |
17 | 3.5:1 | 7.0 | 10 | 69.19 |
Table 5
Analysis of variance of regression equal"
方差来源 source | 平方和 sum of square | 自由度 df | 均方 mean square | F值 F value | P值 P value | 显著性 significance |
模型model | 8.975×10-3 | 9 | 9.973×10-4 | 133.76 | < 0.0001 | ** |
X1 | 2.549×10-3 | 1 | 2.549×10-3 | 341.88 | < 0.0001 | ** |
X4 | 5.330×10-4 | 1 | 5.330×10-4 | 71.49 | < 0.0001 | ** |
X5 | 4.950×10-5 | 1 | 4.950×10-5 | 6.64 | 0.0366 | * |
X1X4 | 3.881×10-4 | 1 | 3.881×10-4 | 52.05 | 0.0002 | ** |
X1X5 | 9.409×10-5 | 1 | 9.409×10-5 | 12.62 | 0.0093 | ** |
X4X5 | 1.575×10-4 | 1 | 1.575×10-4 | 21.12 | 0.0025 | ** |
X12 | 2.973×10-4 | 1 | 2.973×10-4 | 39.87 | 0.0004 | ** |
X42 | 2.733×10-3 | 1 | 2.733×10-3 | 366.57 | < 0.0001 | ** |
X52 | 1.723×10-3 | 1 | 1.723×10-3 | 231.06 | < 0.0001 | ** |
残差residual | 5.219×10-5 | 7 | 7.456×10-6 | |||
失拟项lack of fit | 2.108×10-5 | 3 | 7.028×10-6 | 0.90 | 0.5137 | |
纯误差pure error | 3.111×10-5 | 4 | 7.777×10-6 | |||
总和sum | 9.028×10-3 | 16 |
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