Box Behnken experimental design
Using seventeen experimental trial runs, a three-level factorial, Box Behnken applied statistical experimental approach was performed. Table 2 lists the independent variables as well as the answers for all optimum trial experimental runs. The quadratic model was determined to be the best-fitting model for standard Eupalitin 3-O- β-D-galactopyranoside, and the comparative values of R, SD, and percent CV for the various planned models are presented in Table 4 along with the regression equations normally for eventually elite replies. Only statically significant (P 0.0001) coefficients for Eupalitin 3-O- β-D-galactopyranoside are included in the equations. A positive number implies that the effect favors the optimization, whereas a negative value shows that the factor and the response have an inverse connection. The equations show that time (X1), temperature (X2), and solvent ratio (X3) have a negative effect on the reaction, while time (X1), temperature (X2), and solvent ratio (X3) have a positive effect (Y1). It also demonstrates that the relationship between reaction and variables isn’t always straightforward. A factor can create a variable degree of response when more than one factor is modified at the same time. When X1 and X2, as well as X1 and X3, interact, the reaction is negatively impacted. However, in the case of the square root of many components, the outcome does not repeat history, as demonstrated by its performance. In the instance of the square root of variables, X22 and X23 showing positive and X21 X22 and X23 had a positive impact on the replies in Table 4, but X21 had a negative impact. The final compositional ratios of the extractions were selected on the basis of percentage yield of Eupalitin 3-O- β-D-galactopyranoside using 3 D-response surface plots (Fig. 2).