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).