Analytical method development of pitavastatin-loaded SNEDDS formulation: Multivariate analysis regarding ultraviolet spectrophotometry analysis

Abstract

Herein, this work aimed to develop and assess feasibility of multivariate
model of partial least square analysis for specific quantification of
pitavastatin (PVT)-loaded self-nano emulsion (SNE) formulation using UV
Vis spectrophotometry.
PVT loaded into self-nano emulsion formulation comprising of Capryol-
90, Tween 80, and Transcutol P under different loading levels i.e. 10-90
mg/mL. All samples scanned using UV-Vis spectrophotometer from 300-200
nm. PVT and SNE were prepared separately for estimation of interference.
Multivariate model was constructed using partial least square (PLS)
regression analysis as well as principal component analysis for qualitative
pattern recognition. Cross-validation using a leave one out technique and
goodness of fit parameters were applied for model evaluation.
The results revealed that maximum sensitivity of PVT was obtained at 244
nm. SNE formulation had different interference value and decreased
exponentially as increasing the PVT loading in the SNEDDS formulation. The
highest drug loading had an interference value of 7.11%. Therefore, the
SNEDDS formulation interfered the PVT quantification and mainly
depended on the drug loading. Finally, multivariate analysis, PLS could be
applied to eliminate the placebo/formulation interference for PVT
quantification independently towards drug loading level.