12 research outputs found

    Liquid Chromatographic Determination of Pioglitazone in Pharmaceuticals, Serum and Urine Samples

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    A rapid and reliable analytical method based on high-performance liquid chromatography (HPLC) with UV detection (221nm) has been developed for the determination of the anti-hyperglycemic agent Pioglitazone in pharmaceutical formulations and biological fluids (serum and urine) after clean-up with solid-phase extraction. Chromatographic separation was achieved with a Chromolith® Performance RP-18e (100×4.6mm) column using mobile phase composition of acetonitrile: mixed phosphate buffer (pH 2.5; 10mM) (30:70, v/v) with a flow rate of 2.0mL/min. The total run time was 2 min. under optimized conditions. The calibration curve was found to be linear in the range of 1-10 µg mL-1 with regression coefficient of 0.9996, and the lower limit of detection 72 ng/20µL injection. The method has been validated for the system suitability, linearity, precision and accuracy, limits of detection, specificity, stability and robustness. The %recovery of Pioglitazone in pharmaceutical formulations was found to be 104.7%. The assay has been applied successfully to the pharmaceutical Tablet samples and biological fluids (serum and urine) of healthy volunteers

    Determination of total trans fat content in Pakistani cereal-based foods by SB-HATR FT-IR spectroscopy coupled with partial least square regression

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    The purpose of this study was to determine the total trans fat content from the Fourier transform infrared (FT-IR) spectra of neat fats extracted from cereal-based foods using a single-bounce horizontal attenuated total reflectance (SB-HATR) sampling accessory. Partial least squares (PLS) regression was employed for the development of calibration models. A trans fat calibration curve was prepared by adding trielaidine gravimetrically to trans free canola oil. Regression of the FT-IR/PLS-predicted trans contents was 0.999 with a root-mean-square error of calibration (RMSEC) and root-mean-square error of prediction (RMSEP) 0.07% and 0.07%, respectively. Amongst the samples examined, the fat content was in the range of 8.2–27.2%, whilst most samples contained more than 10% trans fat; the highest trans fat content was 16.3%. The FT-IR results were comparable with gas chromatography (GC)
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