Determination of paracetamol in pharmaceutical preparations using the chemometric analysis of spektrophotometric dataset

Three-way data analysis techniques are versatile tools to solve complex systems. Parallel factor analysis is one of the most popular ones in analytical chemistry to achieve accurate solutions in such systems. In this study, a new approach based on parallel factor analysis of spectra-pH dataset of drug-CuSO4 complex was proposed for the analysis of paracetamol in commercial tablet and syrup formulation without using a separation step. Analysis is based on the formation of a complex between paracetamol and CuSO4 at five different pH values from 2 to 10 with the interval of ΔpH=2. The spectra of drug-CuSO4 complex samples including calibration, standard addition and commercial samples were recorded between 205 and 320 nm. Then their three-way spectra-pH dataset were decomposed into three linear components which correspond to spectral, pH and relative concentration profiles using PARAFAC model. Relative concentration profile of the samples in dataset shows the relative concentrations for all samples in the dataset, which are calibration, tablet samples, tablet standard addition samples, syrup samples and syrup standard addition samples. From the relative concentration profile, a calibration graph was obtained by regression of actual concentration of paracetamol on the estimated relative concentration in the range of 1.10x10-5 – 8.90x10-5 M. In the analysis of the relative drug, no excipient's effect was reported on the determination of paracetamol in tablets and syrup samples. Determination results obtained by five repetitions were found as 504.9 mg/tablet and 127.7 mg/mL.