Table 2.
ANOVA analysis of central composite design for optimizing ascorbic acid extraction from rugosa rose fruit
Source | Sum of squares | Degree of freedom | Mean square | f-value | p-value | |
Model | 8.50 | 5 | 1.70 | 13.96 | 0.0016 | Significant |
Aa | 0.05 | 1 | 0.05 | 0.40 | 0.5495 | |
Bb | 2.02 | 1 | 2.02 | 16.55 | 0.048 | |
AB | 0.00 | 1 | 0.00 | 0.00 | 1.000 | |
A^2 | 0.33 | 1 | 0.33 | 2.70 | 0.1443 | |
B^2 | 6.38 | 1 | 6.38 | 52.34 | 0.0002 | |
Residual | 0.85 | 7 | 0.12 | | | |
Lack of Fit | 0.70 | 3 | 0.23 | 6.34 | 0.0532 | Not significant |
Pure Error | 0.15 | 4 | 0.04 | | | |
Cor. Totalc | 9.36 | 12 | | | | |
SDd | 0.35 | | R2 | 0.908841 | | |
Mean | 5.80 | | Adj R2 | 0.843727 | | |
Temperature
Time
Total all information corrected for the mean
Standard deviation