A Versatile Liquid Chromatographic Method for the Simultaneous Determination of Metformin, Sitagliptin, Simvastatin, and Ezetimibe in Different Dosage Forms.

A new LC method is introduced with the concept of its versatile application to widely used drugs from different pharmacological classes. Metformin hydrochloride (MTF), sitagliptin phosphate (SIT), simvastatin (SIM) and ezetimibe (EZB) were simultaneously determined with a simple reversed-phase LC method in which a SIT-SIM binary mixture, present in a dosage form brand, was considered central for its development. Chromatographic separation was achieved with a mobile phase of acetonitrile and 0.02 M potassium dihydrogen phosphate (pH 5.2) (77 + 23, v/v) flowing through a C18 column (BDS Hypersil, 250 × 4.6 mm, 5 µm) at 1.2 mL/min at ambient temperature. UV detection was programmed to be carried out at 210 nm for EZB, SIT, and MTF, whereas SIM was detected at 240 nm. The method was validated according to International Conference on Harmonization guidelines. Linearity, accuracy, and precision were satisfactory over concentration ranges 4-40 µg/mL for EZB and SIM, 0.5-50 µg/mL for SIT, and 5-500 µg/mL for MTF. Coefficients of determination were >0.99 for the four drugs. LOQs found were 0.01 µg/mL for EZB, 0.02 µg/mL for SIT, 0.2 µg/mL for MTF, and 0.02 µg/mL for SIM. The developed method is simple, rapid, accurate, precise, and suitable for the routine QC analysis of the cited drugs in pharmaceutical products by conventional HPLC systems.

Simultaneous spectrophotometric determination of glimepiride and pioglitazone in binary mixture and combined dosage form using chemometric-assisted techniques.

In the present work, pioglitazone and glimepiride, 2 widely used antidiabetics, were simultaneously determined by a chemometric-assisted UV-spectrophotometric method which was applied to a binary synthetic mixture and a pharmaceutical preparation containing both drugs. Three chemometric techniques - Concentration residual augmented classical least-squares (CRACLS), principal component regression (PCR), and partial least-squares (PLS) were implemented by using the synthetic mixtures containing the two drugs in acetonitrile. The absorbance data matrix corresponding to the concentration data matrix was obtained by the measurements of absorbencies in the range between 215 and 235nm in the intervals with Δλ=0.4nm in their zero-order spectra. Then, calibration or regression was obtained by using the absorbance data matrix and concentration data matrix for the prediction of the unknown concentrations of pioglitazone and glimepiride in their mixtures. The described techniques have been validated by analyzing synthetic mixtures containing the two drugs showing good mean recovery values lying between 98 and 100%. In addition, accuracy and precision of the three methods have been assured by recovery values lying between 98 and 102% and R.S.D. % ˂0.6 for intra-day precision and ˂1.2 for inter-day precision. The proposed chemometric techniques were successfully applied to a pharmaceutical preparation containing a combination of pioglitazone and glimepiride in the ratio of 30: 4, showing good recovery values. Finally, statistical analysis was carried out to add a value to the verification of the proposed methods. It was carried out by an intrinsic comparison between the 3 chemometric techniques and by comparing values of present methods with those obtained by implementing reference pharmacopeial methods for each of pioglitazone and glimepiride.