Optimization of HPLC Method by Using Central Composite Design for Simultaneous Estimation of Montelukast and Ebastine Dosage Form

Author:

Kumar Singh Bhuvnesh1,Verma Harishchandra1,Singh Nikhil1,Singh Pradeep2,Chaudhary Amit3,Kumar Rajpoot Ashok1

Affiliation:

1. Moradabad Educational Trust, Group of Institutions, Faculty of Pharmacy, Moradabad, Uttar Pradesh, India.

2. Department of Pharmacy, College of Health Sciences Debre Tabor University Ethiopia.

3. Chitkara University School of Pharmacy, Chitkara University, Himachal Pradesh 174103, India.

Abstract

In this work, a novel method for the simultaneous estimate of Montelukast (MONT) and Ebastine (EBAS) in bulk drugs was developed using Central Composite Design (CCD).A novel reverse-phase high-performance liquid chromatography (RP-HPLC) approach for the simultaneous measurement of Montelukast and Ebastine in bulk and formulation is what this work aims to create and test.A novel reverse-phase high-performance liquid chromatography (RP-HPLC) approach for the simultaneous measurement of Montelukast and Ebastine in bulk and formulation is what this work aims to create and test.With isocratic elution at a flow rate of 0.8 ml min-1 and a diode array detector operating at 241 nm, the separation was accomplished using methanol and 0.02M ammonium acetate buffer (pH 5.5 adjusted with diluted acetic acid) in the ratio of 80:20 v/v. Methanol composition (percent) (A), pH (B), and flow rate (C) were three independent variables that were examined.This method showed good linearity over a range of 2.5–25 μg/ml for both drugs. MONT limit of detection (LOD) and limit of quantitation (LOQ) were 0.298 and 0.905μg/ml while LOD and LOQ for EBAS were 0.594 and 1.80For both drugs, this technique demonstrated high linearity throughout a range of 2.5–25 μg/ml. Limits of detection (LOD) and quantitation (LOQ) for MONT were 0.298 and 0.905 μg/ml and 0.594 and 1.80 μg/ml for EBAS, respectively.The statistical data analysis determined that the Methanol composition and pH were the two independent variables that were most significant, with P 0.001. The suggested technique worked well and was optimised for the CCD model-based simultaneous estimate of both drugs.

Publisher

A and V Publications

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