A COMPARATIVE STUDY OF HPLC AND UV SPECTROPHOTOMETRIC METHODS FOR METRONIDAZOLE AND MICONAZOLE NITRATE QUANTIFICATION IN PHARMACEUTICAL FORMULATIONS AND ECO-FRIENDLINESS
Mrunalini Kulkarni and Pranay More*
ABSTRACT
Objective: The demand for environmentally friendly analytical methods in pharmaceutical analysis has led to the development of ecologically friendly chromatographic and spectrophotometric techniques. Using a sustained approach, this study investigates the simultaneous quantification of metronidazole and miconazole nitrate using high-performance liquid chromatography (HPLC) and UV spectrophotometry. Methodology: In vaginal gel and cream formulations, a reversed-phase high-performance liquid chromatography method has been developed that effectively detects metronidazole and miconazole nitrate. This technique uses a Zorbax SB-C8 column (150 × 4.6 mm, 3.5 μm) with isocratic elution and a mobile phase consisting of a solution of water and isopropyl alcohol. The simultaneous equation of the UV technique estimated drug quantity and the simultaneous equation for miconazole nitrate and metronidazole were calculated using wavelengths of 210 nm and 315 nm, respectively. Result: The developed techniques exhibited excellent linearity (r2 > 0.999) over the concentration range of UV spectrophotometry and HPLC methods of 18.75-112.5 μg/ml and 50-300 μg/ml for metronidazole and miconazole. The precision of the methods was characterized by ≤ 2 % and average recovery rates, which were 98.6–99.8 % for the spectrophotometric UV method and 99.6–100.6 % for the HPLC method. Conclusion: The developed methods were validated for accuracy, precision, linearity, and robustness, and their applicability in routine drug analysis was demonstrated. By minimizing the use of organic solvents and introducing environmentally friendly analytical protocols, this study highlights the benefits of green analytical chemistry (GAC) in pharmaceutical quality control.
Keywords: Liquid chromatography, Metronidazole, Miconazole Nitrate, Method development, and Method validation.
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