# Chemical and Sensory Properties of Corn Extrudates Enriched with Tomato Powder and Ascorbic Acid
## 3 Results and Discussion
### Color of the Extrudates
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Response** & **Source** & **df** & **Sum of Squares** & **Mean Squares** & **F-Value** & \(p\)**-Value** \\ \hline \multirow{4}{*}{L* E1} & Regression & 5 & 62.62 & 12.52 & \multirow{4}{*}{99.04} & \multirow{4}{*}{\(<\)0.0001} \\  & Lack of fit & 3 & 0.88 & 0.29 & & \\  & Pure error & 4 & 6.320\(\times 10^{-3}\) & 1.580 \(\times 10^{-3}\) & 185.42 & \(<\)0.0001 \\  & Residual & 7 & 0.89 & 0.13 & & \\ \cline{2-6}  & Total & 12 & 63.51 & & & \\ \hline \multirow{4}{*}{L* E2} & Regression & 5 & 60.30 & 12.06 & \multirow{4}{*}{100.27} & \multirow{4}{*}{0.0003} \\  & Lack of fit & 3 & 1.09 & 0.36 & & \\ \cline{2-6}  & Pure error & 4 & 0.014 & 3.620 \(\times 10^{-3}\) & 76.50 & \(<\)0.0001 \\  & Residual & 7 & 1.10 & 0.16 & & \\ \cline{2-6}  & Total & 12 & 61.40 & & & \\ \hline \multirow{4}{*}{a* E1} & Regression & 5 & 14.21 & 2.84 & \multirow{4}{*}{18.87} & \multirow{4}{*}{0.0006} \\  & Lack of fit & 3 & 1.01 & 0.34 & & \\ \cline{2-6}  & Pure error & 4 & 0.043 & 0.011 & 31.00 & 0.0031 \\  & Residual & 7 & 1.05 & 0.15 & & \\ \cline{2-6}  & Total & 12 & 15.26 & & & \\ \hline \multirow{4}{*}{a* E2} & Regression & 5 & 18.39 & 3.68 & \multirow{4}{*}{11.70} & \multirow{4}{*}{0.0003} \\  & Lack of fit & 3 & 1.35 & 0.45 & & \\ \cline{2-6}  & Pure error & 4 & 0.016 & 4.030 \(\times 10^{-3}\) & 18.84 & 0.0006 \\  & Residual & 7 & 1.37 & 0.20 & & 111.70 & 0.0003 \\ \cline{2-6}  & Total & 12 & 19.75 & & & \\ \hline \multirow{4}{*}{b* E1} & Regression & 5 & 40.88 & 8.18 & \multirow{4}{*}{30.05} & \multirow{4}{*}{0.0001} \\  & Lack of fit & 3 & 1.89 & 0.63 & & \\ \cline{2-6}  & Pure error & 4 & 0.016 & 3.880 \(\times 10^{-3}\) & 30.05 & 0.0001 \\  & Residual & 7 & 1.90 & 0.27 & & \\ \cline{2-6}  & Total & 12 & 42.79 & & & \\ \hline \multirow{4}{*}{b* E2} & Regression & 5 & 6.32 & 3.16 & \multirow{4}{*}{4.88} & \multirow{4}{*}{0.0333} \\  & Lack of fit & 3 & 6.48 & 0.65 & & \\ \cline{2-6}  & Pure error & 4 & 1.120 \(\times 10^{-3}\) & 2.800 \(\times 10^{-4}\) & 4.88 & 0.0333 \\  & Residual & 7 & 6.49 & 1.08 & & 3859.97 & \(<\)0.0001 \\ \cline{2-6}  & Total & 12 & 12.81 & & & \\ \hline \multirow{4}{*}{\(\Delta\)E E1} & Regression & 5 & 19.77 & 3.95 & \multirow{4}{*}{1614.87} & \multirow{4}{*}{0.0001} \\  & Lack of fit & 3 & 3.49 & 1.16 & & \\ \cline{2-6}  & Pure error & 4 & 2.880 \(\times 10^{-3}\) & 7.200 \(\times 10^{-4}\) & 7.93 & 0.0084 \\ \cline{2-6}  & Residual & 7 & 3.49 & 0.50 & & 1614.87 & \(<\)0.0001 \\ \cline{2-6}  & Total & 12 & 23.26 & & & \\ \hline \multirow{4}{*}{\(\Delta\)E E2} & Regression & 5 & 12.77 & 2.55 & \multirow{4}{*}{2.35} & \multirow{4}{*}{0.1477} \\  & Lack of fit & 3 & 7.60 & 2.53 & & \\ \cline{2-6}  & Pure error & 4 & 2.600 \(\times 10^{-3}\) & 6.500 \(\times 10^{-4}\) & 2.35 & 0.1477 \\ \cline{2-6}  & Residual & 7 & 7.60 & 1.09 & & 3896.11 & \(<\)0.0001 \\ \cline{2-6}  & Total & 12 & 20.37 & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Analysis of variance for fitted models of product. temperature was shown by the authors of [8; 12], which suggest the greater degradation of pigments at higher temperatures, while the authors of [48] showed the opposite effect. According to models (4) and (5) and the analysis of variance (Tables 5 and 6), the addition of TP and AA at both extrusion temperatures had a significant positive linear influence on the a* value (Figure 1). The interaction of these two variables also had a significant impact. The increase in the a* value as a result of the AA addition implies that AA, as an antioxidant, reduces the degradation of pigments, as previously described in the case of lutein.