Table 3 ANOVA results for the quadratic models describing arabitol concentration and glycerol conversion yield as function of glycerol concentration (A), temperature (B), pH (C), and DOT (D) together with model performance parameters
Response | Source | Sum of Squares | Degrees of freedom | Mean Square | F value | p-value Prob > F |
|---|---|---|---|---|---|---|
Arabitol | Model | 1272.84 | 6 | 212.14 | 31.51 | < 0.0001 |
A | 185.93 | 1 | 185.93 | 27.61 | < 0.0001 | |
B | 416.67 | 1 | 416.67 | 61.88 | < 0.0001 | |
C | 106.68 | 1 | 106.68 | 15.84 | 0.0006 | |
AB | 186.32 | 1 | 186.32 | 27.67 | < 0.0001 | |
A2 | 331.54 | 1 | 331.54 | 49.24 | < 0.0001 | |
B2 | 76.42 | 1 | 76.42 | 11.35 | 0.0027 | |
Residual | 154.86 | 23 | 6.73 | |||
Lack of fit | 145.90 | 18 | 8.11 | 4.53 | 0.0512 | |
Pure error | 8.95 | 5 | 1.79 | |||
R-squared | 0.89 | |||||
Adj R-squared | 0.86 | |||||
Pred R-squared | 0.78 | |||||
Adeq precision | 21.6 | |||||
Conversion yield | Model | 0.090 | 6 | 0.015 | 10.83 | < 0.0001 |
A | 6.534·10− 3 | 1 | 6.534·10− 3 | 4.72 | 0.0404 | |
B | 0.031 | 1 | 0.031 | 22.25 | < 0.0001 | |
C | 0.024 | 1 | 0.024 | 17.10 | 0.0004 | |
AB | 6.806·10− 3 | 1 | 6.806·10− 3 | 4.91 | 0.0368 | |
A2 | 0.017 | 1 | 0.017 | 12.23 | 0.0019 | |
B2 | 7.425·10− 3 | 1 | 7.425·10− 3 | 5.36 | 0.0299 | |
Residual | 0.032 | 23 | 1.385·10− 3 | |||
Lack of fit | 0.031 | 18 | 1.739·10− 3 | 15.62 | 0.0032 | |
Pure error | 5.568·10− 4 | 5 | 1.114·10− 4 | |||
R-squared | 0.74 | |||||
Adj R-squared | 0.67 | |||||
Pred R-squared | 0.52 | |||||
Adeq precision | 11.1 |