## 3 Results and Discussion
Figure 9 presents the perturbation and contour plots. The hydro module, duration, and extractant have a quadratic influence, while the temperature has a linear influence (Figure 9a). Figure 9b shows the effect of the hydro module and duration on the \(\alpha\)-glucosidase while keeping temperature and extractant at 50 \({}^{\circ}\)C and 80%, respectively. Under these conditions, the maximum \(\alpha\)-glucosidase inhibition (IC\({}_{50}\) 0.08 mg/mL) could be obtained with a hydro module of 10 for a duration time of 30 min. Other authors report twice the duration for ethanol extracts of _Azadirachta indica_ leaves obtained by UAE needed for the inhibition of \(\alpha\)-glucosidaseidase [33]. Figure 9c shows the effect of the hydro module and temperature on the \(\alpha\)-glucosidase inhibition potential while keeping duration and extractant at values of 20 and 80, respectively. Under these conditions, optimum results could be obtained with a hydro module of 10 and a temperature of 60 \({}^{\circ}\)C. Figure 9d shows the effect of the hydro module and extractant on the \(\alpha\)-glucosidase inhibition while keeping duration and temperature at values of 40 min and 50 \({}^{\circ}\)C, respectively. In this view, the optimal conditions are a hydro module of 10 and an extractant of 90. Figure 9e shows the effect of the temperature and extractant on the \(\alpha\)-glucosidase activity while keeping the hydro module and duration at values of 20 and 40, respectively. Under these conditions, maximal values could be obtained at 60 \({}^{\circ}\)C and an extractant of 90%. Figure 9f shows the effect of the duration and temperature on the \(\alpha\)-glucosidase inhibition potential while keeping the hydro module and extractant at values of 20 and 99.9, respectively. Under these conditions, the optimal effect (IC\({}_{50}\) 0.13 mg/mL) could be achieved with a duration of 30 min and a temperature of 60 \({}^{\circ}\)C. Other authors [34] stated that solid/solvent ratio and  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Source**} & **Sum of** & \multirow{2}{*}{**df**} & **Mean** & \multirow{2}{*}{**F-Value**} & \multirow{2}{*}{**\(p\)-Value**} & \\  & **Squares** & & & & & \\ \hline Model & 0.0378 & 5 & 0.0076 & 66.55 & \textless{}0.0001 & significant \\ D-Extractant & 0.0041 & 1 & 0.0041 & 36.47 & \textless{}0.0001 & \\ AD & 0.0010 & 1 & 0.0010 & 9.15 & 0.0060 & \\ A\({}^{2}\) & 0.0071 & 1 & 0.0071 & 62.30 & \textless{}0.0001 & \\ B\({}^{2}\) & 0.0221 & 1 & 0.0221 & 194.63 & \textless{}0.0001 & \\ C\({}^{2}\) & 0.0011 & 1 & 0.  
extraction time were key process parameters in the optimization of extraction conditions of antioxidant and \(\alpha\)-glucosidase inhibition of weed fruits. Figure 9: \(\alpha\)-glucosidase inhibition model analysis: (**a**) Perturbation plot; (**b**) contour surface plots of Alfa-Gl against hydro module (ratio) and duration (min); (**c**) contour surface plots of Alfa-Gl against hydro module (ratio) and temperature; (**d**) contour surface plots of Alfa-Gl against hydro module (ratio) and extractant; (**e**) contour surface plots of Alfa-Gl against temperature and extractant; (**f**) contour surface plots of Alfa-Gl against duration (min) and temperature. A quadratic model revealed the dependence of acetylcholinesterase on the independent variables (Table 14). In this case, A, B, C, D, AB, AC, BC, BD, A2, B\({}^{2}\), C\({}^{2}\), and D2 are significant model terms. The coefficient of determination and the standard error in the AChE model are 0.98 and 0.031, respectively. The reasons for the small error are identical to those of the Alfa-Gl model--a high value of the coefficient of determination and low measured values. This standard error value means that when estimating the AChE value, a mean error of less than 0.031 IC20 g/mL can be expected.