Evidence-Based Complementary and Alternative Medicine / 2017 / Article / Tab 3 / Research Article
Optimization of Extraction Process for Antidiabetic and Antioxidant Activities of Kursi Wufarikun Ziyabit Using Response Surface Methodology and Quantitative Analysis of Main Components Table 3 Analysis of variance.
Source Sum of squares Degrees of freedom Mean of square F valueP valueYield of extraction Model 321.42 14 22.96 10.37 <0.0001 (significant) Residual 31.00 14 2.21 Pure error 1.17 4 0.29 Lack of fit 29.83 10 2.98 10.24 0.0192 Total 352.41 28 0.9120 Adj. 0.8241 Model equation Total polyphenol content Model 423.50 14 30.25 47.38 <0.0001 (significant) Residual 8.94 14 0.64 Pure error 2.49 4 0.62 Lack of fit 6.45 10 0.65 1.04 0.5314 (not significant) Total 432.42 28 0.9793 Adj. 0.9587 Model equation PTP-1B inhibition rate Model 1318.42 14 94.17 9.82 <0.0001 (significant) Residual 134.24 14 4.41 Pure error 31.82 4 7.95 Lack of fit 102.42 10 10.24 1.29 0.4350 (not significant) Total 1452.66 28 0.9076 Adj. 0.8152 Model equation α -Glucosidase inhibition rateModel 1449.06 14 103.50 10.43 <0.0001 (significant) Residual 138.87 14 9.92 Pure error 11.50 4 2.88 Lack of fit 127.37 10 12.74 4.43 0.0822 (not significant) Total 1587.93 28 0.9125 Adj. 0.8251 Model equation ABTS inhibition rate Model 2213.57 14 158.11 33.37 <0.0001 (significant) Residual 66.33 14 4.74 Pure error 8.87 4 2.22 Lack of fit 57.46 10 5.75 2.59 0.1859 (not significant) Total 2279.90 28 0.9709 Adj. 0.9418 Model equation
Value of lack of fit as analyzed by ANOVA.