A simple, selective, sensitive, accurate, and precise method was developed for determination of ethamsylate (ET) in human urine and in ET tablets using RP-HPLC. The method uses a C18 (5 pm particle size) column at ambient temperature with the mobile phase 14.7 mM potassium dihydrogen phosphate (pH 4.6)-8.15 mM tetraheptylammonium bromide in acetonitrile (50 + 50, v/v) at a flow rate of 1.0 mL/min. Quantitation was achieved with UV detection at 300 nm, based on peak area with a linear calibration curve in the concentration range of 0.1-100 microg/mL. The proposed method was applied for the determination of the urinary excretion pattern of ET as the cumulative amounts excreted have been calculated without pretreatment of urine samples. The proposed method was completely validated according to U.S. Food and Drug administration guidelines.
Reflectance near-IR (RNIR) spectroscopy was used for the simultaneous determination of chondroitin (CH), glucosamine (GO), and methyl sulfonyl methane (MSM) in tablets. Simple sample preparation was done by grinding, sieving, and compression of the tablets for improving RNIR spectra. Principal component regression and partial least squares (PLS-1 and PLS-2) were successfully applied to quantify the three components in the studied mixture using information included in RNIR spectra in the range of 4350-9100 cm(-1). The calibration model was developed with drug concentration ranges of 14.5-44.2% (w/w) for CH, 18.4-55.3% (w/w) for GO, and 6-18.6% (w/w) for MSM with addition of tablet excipients to the calibration set in the same ratio as in the tested tablets. The calibration models were evaluated by internal validation, cross-validation, and external validation using synthetic and pharmaceutical preparations. The proposed method was applied for analysis of six batches of the pharmaceutical product. The results of the proposed method were compared with the results of the pharmacopoeial method for the same batch of the pharmaceutical product. No significant differences between the results were found. The RNIR method is accurate and precise, and can be used for QC of pharmaceutical products.
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