Box-Behnken Assisted Validation and Optimization of an RP-HPLC Method for Simultaneous Determination of Domperidone and Lansoprazole

A highly specific, accurate, and simple RP-HPLC technique was developed for the real-time quantification of domperidone (DOMP) and lansoprazole (LANS) in commercial formulations. Chromatographic studies were performed using a Luna C8(2), 5 μm, 100Å, column (250 × 4.6 mm, Phenomenex) with a mobile ph...

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Bibliographic Details
Main Authors: Mohd Afzal, Mohd. Muddassir, Abdullah Alarifi, Mohammed Tahir Ansari
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Separations
Subjects:
Online Access:https://www.mdpi.com/2297-8739/8/1/5
Description
Summary:A highly specific, accurate, and simple RP-HPLC technique was developed for the real-time quantification of domperidone (DOMP) and lansoprazole (LANS) in commercial formulations. Chromatographic studies were performed using a Luna C8(2), 5 μm, 100Å, column (250 × 4.6 mm, Phenomenex) with a mobile phase composed of acetonitrile/2 mM ammonium acetate (51:49 <i>v</i>/<i>v</i>), pH 6.7. The flow rate was 1 mL·min<sup>−1</sup> with UV detection at 289 nm. Linearity was observed within the range of 4–36 µg·mL<sup>−1</sup> for domperidone and 2–18 µg·mL<sup>−1</sup> for lansoprazole. Method optimization was achieved using Box-Behnken design software, in which three key variables were examined, namely, the flow rate (A), the composition of the mobile phase (B), and the pH (C). The retention time (Y<sub>1</sub> and Y<sub>3</sub>) and the peak area (Y<sub>2</sub> and Y<sub>4</sub>) were taken as the response parameters. We observed that slight alterations in the mobile phase and the flow rate influenced the outcome, whereas the pH exerted no effect. Method validation featured various ICH parameters including linearity, limit of detection (LOD), accuracy, precision, ruggedness, robustness, stability, and system suitability. This method is potentially useful for the analysis of commercial formulations and laboratory preparations.
ISSN:2297-8739