RESUMEN
AIM AND BACKGROUND: A simple, rapid, precise and isocratic RP-HPLC (Reverse Phase High Performance Liquid Chromatography) method is aimed to develop for the simultaneous estimation of Olmesartan Medoxomil and Metoprolol Succinate in bulk drug and pharmaceutical dosage form. MATERIALS AND METHODS: The quantification is carried out using YMC-Pack CN (250 × 4.6 mm, 5.0 µm) column and the mobile phase comprises of 0.05% Trifluoro acetic acid (TFA) and Acetonitrile (ACN) (70:30 v/v). The flow rate is 1.0 ml/min. The eluent is monitored at 220 nm. The retention times of Olmesartan Medoxomil and Metoprolol Succinate are 7.9 min and 4.1 min respectively. The method is validated in terms of linearity, precision, accuracy, specificity, limit of detection and limit of quantitation. RESULTS: Linearity and percentage recoveries of both Olmesartan Medoxomil and Metoprolol Succinate are in the range of 5-35 µg/ml and 100 ± 2%, respectively. The stress testing of both the drugs individually and their mixture is carried out under acidic, alkaline, oxidation, photo-stability and thermal degradation (dry heat and wet heat) conditions and its degradation products are well resolved from the analyte peaks. CONCLUSION: This method was successfully validated for accuracy, precision, and linearity.
RESUMEN
A rapid, sensitive, and reproducible pre-column derivatisation procedure has been established for the simultaneous determination of 20 amino acids by high-performance liquid chromatography using fluorescence detection. The amino acids were derivatized using o-phthalaldehyde and 9-fluorenylmethyl-chloroformate reagents. The optimal conditions for simultaneous separation and detection of both primary and secondary amino acids were investigated. The developed method has several advantages, namely automated pre-column derivatization, short analysis time with optimal separation, a simple and economical mobile phase, high level of precision for peak area and retention time, and higher sensitivity with more reliability of peak identification. The biological media development is the key parameter for macromolecule drug discovery. Biological media amino acids in three consecutive discovery batches were determined and the results showed a good agreement with hypothetical value. The method appears suitable for application to measure biological media amino acids at various stages of macromolecule drug discovery.
