Sensitive spectrophotometric method for the determination of indomethacin in capsules

Potentiometric determination of ibuprofen, indomethacin and naproxen using an artificial neural network calibration

In this study, three anti-inflammatory agents, namely ibuprofen, indomethacin and naproxen, were titrated potentiometrically using tetrabutyl?ammonium hydroxide in acetonitrile solvent under a nitrogen atmosphere at 25?C. MATLAB 7.0 software was applied for data treatment as a multivariate calibration tool in the potentiometric titration procedure. An artificial neural network (ANN) was used as a multivariate calibration tool in the potentiometric titration to model the complex non-linear relationship between ibuprofen, indomethacin and naproxen concentrations and the millivolt (mV) of the solutions measured after the addition of different volumes of the titrant. The optimized network predicted the concentrations of agents in synthetic mixtures. The results showed that the employed ANN can precede the titration data with an average relative error of prediction of less than 2.30%.

Detection of indomethacin by high-performance liquid chromatography with in situ electrogenerated Mn(III) chemiluminescence detection

The determination of indomethacin (INM) in pharmaceutical and biological samples by means of high-performance liquid chromatography (HPLC) with in situ electrogenerated Mn(III) chemiluminescence (CL) detection was proposed. The method was based on the direct CL reaction of INM and Mn(III), which was in situ electrogenerated by constant current electrolysis. The chromatographic separation was carried out on Nucleosil RP-C(18) column (250 mm x 4.6 mm; i.d., 5 microm; pore size, 100 A) at 20 degrees C. The mobile phase consisted of methanol:water:acetic acid=67:33:0.1 solution. At a flow rate of 1.0 mL min(-1), the total run time was 10 min. The effects of several parameters on the HPLC resolution and CL emission were studied systematically. Under the optimal conditions, a linear range from 0.01 to 10 microg mL(-1)(R(2)=0.9991), and a detection limit of 8 ng mL(-1) (signal-to-noise ratio=3) for INM were achieved. The relative standard deviations (R.S.D.) for 0.1 microg mL(-1) INM were 2.2% within a day (n=11) and 3.0% on 5 consecutive days (n=6), respectively. The recovery of INM from urine samples was more than 92%. The applicability of the method for the analysis of pharmaceutical and biological samples was examined.

Square-wave adsorptive cathodic stripping voltammetric determination of anti-inflammatory indomethacin drug in tablets and human serum at a mercury electrode

Indomethacin is a non-steroidal anti-inflammatory drug possessing anti-pyretic and analgesic properties. A fully validated square-wave adsorptive cathodic stripping voltammetric procedure is described for determination of indomethacin. The procedure was based on the reduction of the C=O double bond of the drug molecule in Britton-Robinson buffer (pH 4) after its preconcentration onto the mercury electrode surface. The optimized conditions of the procedure were: frequency 120 Hz, scan increment 10 mV, pulse amplitude 50 mV, preconcentration potential -0.9 V (vs. Ag/AgCl/KCl(s)) and preconcentration time 90 s. The proposed procedure was successfully applied for determination of the drug in tablets and human serum with good recoveries. The limits of detection in bulk form and human serum were 6.7 x 10(-10) mol L(-1) and 8.1 x 10(-10) mol L(-1), respectively.