Table 6.
Regression coefficients of crossed-model (Linear × quadratic) and fitness statistics for predicting the textural properties of the bread crumbs in terms of actual settings of processing factors
| Hardness | Cohesiveness | Springiness | Chewiness | Resilience | |
|---|---|---|---|---|---|
| Model terms | |||||
| A | −0.5876001*** | 0.00294835*** | 0.01215257*** | −0.4499320*** | −0.00224923*** |
| B | 0.1291523*** | −0.02265566*** | −0.00505028*** | 0.0530513*** | 0.00950264*** |
| C | 0.0409827*** | 0.03066094*** | 0.03145016*** | 0.1884075*** | −0.00916456*** |
| AD | 0.0057341* | 0.00002520*** | −0.00011884** | 0.0043653** | 0.00002155* |
| AE | 0.0106324 ns | 0.00043800*** | 0.00082971 ns | 0.0086415 ns | 0.00053966* |
| BD | −0.0017581*** | 0.00032620*** | 0.00030078*** | −0.0006618*** | −0.00007589** |
| BE | 0.0077952* | 0.00011974*** | −0.00117132*** | 0.0041027 ns | 0.00006135** |
| CD | 0.0046925*** | -0.00006605* | −0.00007375 ns | 0.0016114** | 0.00029584* |
| CE | −0.043115*** | −0.00183788* | −0.00188239* | −0.0321646*** | −0.00134759 ns |
| ADE | −0.000006* | −0.00000237*** | −0.00000078 ns | −0.0000104** | −0.00000032 ns |
| BDE | 0.0000158 ns | −0.00000037 ns | 0.0000155 ns | −0.00000052* | |
| CDE | −0.0000839* | 0.00000989*** | 0.00000402* | −0.0000404* | |
| AD2 | −0.0000160*** | 0.00000004* | 0.00000037* | −0.0000119*** | −0.00000005 ns |
| AE2 | -0.0002538* | −0.00000131 ns | −0.00001739* | -0.0001784* | −0.00001278* |
| BD2 | 0.0000038** | −0.00000090*** | −0.00000091* | 0.0000007** | 0.00000024 ns |
| BE2 | −0.0002722* | −0.00000258 ns | 0.00002763** | −0.0001823* | |
| CD2 | −0.0000101*** | −0.00000039** | −0.0000033** | −0.00000089** | |
| CE2 | 0.0015845*** | 0.00000427 ns | 0.00002874* | 0.0010692*** | 0.00003558* |
| Fitness statistics | |||||
| F-value (model) | 212.79*** | 650.95*** | 227.29*** | 165.94*** | 59.48*** |
| F-value (lack-of-fit) | 4.850 ns | 6.612ns | 6.504ns | 9.630ns | 9.24ns |
| R2 | 0.9975 | 0.9987 | 0.9965 | 0.9968 | 0.9878 |
| Adjusted R2 | 0.9928 | 0.9974 | 0.9917 | 0.9908 | 0.9812 |
| Prediction R2 | 0.9219 | 0.9695 | 0.9669 | 0.9013 | 0.8812 |
| Adequate precision | 56.61 | 94.61 | 48.53 | 51.82 | 29.20 |
| C.V % | 2.02 | 0.23 | 0.42 | 2.07 | 1.11 |
Where A, B, C represent wheat, OFSP and pumpkin flour respectively, D is the baking temperature, E is the baking time, coefficient of determination (R2), C.V is the coefficient of variance, *p < 0.05; **p < 0.001; ***p < 0.0001