Tuesday 15 January 2019

Novel Stability Indicating RP-HPLC Method for the Simultaneous Estimation of Clindamycin and Adapalene in Pharmaceutical Dosage Forms (AOICS) - Lupine Publishers

 Novel Stability Indicating RP-HPLC Method for the Simultaneous Estimation of Clindamycin and Adapalene in Pharmaceutical Dosage Forms (AOICS) - Lupine Publishers

A simple, accurate, rapid and precise isocratic stability indicating reversed-phase high-performance liquid chromatographic method has been developed and validated for simultaneous determination of Clindamycin and Adapalene in tablets. The chromatographic separation was carried out on C18 BDS Hypersil (150 x 4.6mm, 5μ) with a mixture of mixed phosphate buffer: acetonitrile (55:45%v/v) as a mobile phase at a flow rate of 1.0mL/min. UV detection was performed at 230nm. The retention times were 2.84 and 3.999 min for Clindamycin and Adapalene respectively. Calibration plots were linear (r2=0.999) over the concentration range of 25-150μg/mL for Clindamycin and 2.5-15μg/mL for Adapalene. The method was validated for accuracy, precisio006E, specificity, linearity and sensitivity. The proposed method was successfully used for quantitative analysis of tablets. No interference from any component of pharmaceutical dosage form was observed. Validation studies revealed that method is specific, rapid, reliable, and reproducible. The high recovery and low relative standard deviation confirm the suitability of the method for routine determination of Clindamycin and Adapalene in bulk and tablet dosage form.

https://www.lupinepublishers.com/chemistry-journal/fulltext/novel-stability-indicating-rP-hPLC-method-for-the-simultaneous-estimation-of-clindamycin-and-adapalene-in-pharmaceutical-dosage-forms.ID.000120.php

For more Lupine Publishers Open Access Journals Please visit our website: http://www.lupinepublishers.com/

For more Lupine Publishers Reivew articles Please Click Here: https://www.lupinepublishers.com/chemistry-journal/

No comments:

Post a Comment

Prediction of Physico-Chemical Properties for Polycyclic Aromatic Hydrocarbons Based on Electronic Characteristics of Molecules

Abstract QSPR models have been developed to predict of polycyclic aromatic hydrocarbons (PAHs) based on quantum chemical and integr...