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A specific,precise and stability indicating high-performance thin-layer chromatographic method for simultaneous estimation of pantoprazole sodium and itopride hydrochloride in pharmaceutical formulations was developed and validated.The method employed TLC aluminium plates precoated with silica gel 60F 254 as the stationary phase.The solvent system consisted of methanol:water:ammonium acetate;4.0:1.0:0.5(v/v/v).This system was found to give compact and dense spots for both itopride hydrochloride(R f value of 0.5570.02) and pantoprazole sodium(R f value of 0.8570.04).Densitometric analysis of both drugs was carried out in the reflectance-absorbance mode at 289 nm.The linear regression analysis data for the calibration plots showed a good linear relationship with R 2 0.998870.0012 in the concentration range of 100-400 ng for pantoprazole sodium.Also,the linear regression analysis data for the calibration plots showed a good linear relationship with R 2 0.999070.0008 in the concentration range of 200-1200 ng for itopride hydrochloride.The method was validated for specificity,precision,robustness and recovery.Statistical analysis proves that the method is repeatable and selective for the estimation of both the said drugs.As the method could effectively separate the drug from its degradationproducts,it can be employed as a stability indicating method.
A specific, precise and stability indicating high-performance thin-layer chromatographic method for simultaneous estimation of pantoprazole sodium and itopride hydrochloride in pharmaceutical formulations was developed and validated. The method employed TLC aluminum plates precoated with silica gel 60F 254 as the stationary phase. 4.0: 1.0: 0.5 (v / v / v). This system was found to give compact and dense spots for both itopride hydrochloride (R f value of 0.5570.02) and pantoprazole sodium (R f value of 0.8570.04). Sensitometric analysis of both drugs was carried out in the reflectance-absorbance mode at 289 nm. The linear regression analysis data for the calibration plots showed a good linear relationship with R 2 0.998870.0012 in the concentration range of 100-400 ng for pantoprazole sodium. Also, the linear regression analysis data for the calibration plots showed a good linear relationship with R2 0.999070.0008 in the concentration r ange of 200-1200 ng for itopride hydrochloride. The method was validated for specificity, precision, robustness and recovery. Statistical analysis proves that the method is repeatable and selective for the estimation of both the said drugs. As the method could effectively separate the drug from its degradationproducts, it can be employed as a stability indicating method.