Optimization of HPLC Method Using Central Composite Design for the Estimation of Escitalopram and L-Methyl Folate

Quality by design‐steered development and validation of analytical and bioanalytical methods for raloxifene: Application of Monte Carlo simulations and variance inflation factor

“…Optimization of the analytical method was conducted employing an FCCD, capable of dealing with the quadratic polynomials, to deduce the main effect as well as the effect due to interactions. A two‐factor FCCD has already been widely documented to be an efficient and economical experimental design for further response surface optimization studies, owing to its distinctly superior capability to detect any nonlinearity and interaction effects in the factor–response relationship(s), and requirement of minimal outlay of experimental effort and time during method development (Kumar et al, 2021; Singh et al, 2010; Singh, Beg, & Raza, 2013; Singh, Singh, et al, 2013). where the coefficient β 0 indicates the intercept term, the polynomial coefficients β 1 and β 2 represent the coefficients of corresponding linear model terms, β 3 signifies the coefficient term for factor interaction(s), and the coefficients β 4 and β 5 represent the respective quadratic model terms.…”

“…Optimization of the analytical method was conducted employing an FCCD, capable of dealing with the quadratic polynomials, to deduce the main effect as well as the effect due to interactions. A two-factor FCCD has already been widely documented to be an efficient and economical experimental design for further response surface optimization studies, owing to its distinctly superior capability to detect any nonlinearity and interaction effects in the factor-response relationship(s), and requirement of minimal outlay of experimental effort and time during method development (Kumar et al, 2021;Singh et al, 2010;Singh, Beg, & Raza, 2013;.…”