Quantification and Classification of Diclofenac Sodium Content in Dispersed Commercially Available Tablets by Attenuated Total Reflection Infrared Spectroscopy and Multivariate Data Analysis

Quantitative determination of ademetionine in tablets utilizing ATR-FTIR and partial least squares methods approaches

In this study there were utilized a combination of Fourier transform infrared spectroscopy in attenuated total reflection mode (ATR-FTIR) and partial least squares (PLS) regression method to develop quantitative models for determining the concentration of ademetionine in commercial tablets. The established and validated models were specifically designed for a commercial product containing ademetionine 1,4-butandiesulfonate. The coefficient of determination for the developed model was 0.999. Relative standard deviation (RSD) does not exceed 1.6% for repeatability and intermediate accuracy, which meets the international ICH and AOAC requirements for the method performance. The validation results effectively confirmed that this method is suitable and meets the current requirements for analytical methods in drug quality control. Consequently, this approach can be used for routine ademetionine analysis in pharmaceutical products and has the potential to be applied to other active pharmaceutical ingredients (APIs) in drug quality control.

Novel approach for infrared spectroscopic quantitation of azithromycin in commercial tablets employing paracetamol as matrix modifier

The ATR-FTIR quantitation of azithromycin in three products of commercial tablets was carried out on product specific quantitative regression models using powdered paracetamol as matrix modifier to overcome the variation of spectral response and influence of sample matrix. For each product, a PLS quantitative regression model was established using training infrared spectra obtained from reference mixtures (reference powders with known mass content (%, w/w) of azithromycin mixed homogenously with paracetamol to have mass percentage of azithromycin over total mass of azithromycin and paracetamol (P_A) from 30% to 70%). The spectral data were collected in wavenumber range depending on commercial product within the wavenumber zone from 1300 cm^-1 to 1750 cm^-1 to build quantitative regression models. To quantify azithromycin in any commercial batch of the same product, the homogenized sample powder was mixed with paracetamol to have mixtures with P_A value about 50% to record infrared spectrum. The actual amount of azithromycin would then be calculated from spectral response of unknown sample and the pre-established quantitative regression model. Each quantitative regression model was validated according to the current requirements of ICH guideline Q2R1 and those of AOAC International in term of specificity, accuracy, precision, long-term robustness and reliability. The validation results proved that the quantitative regression models were accurate, precise, reliable and robust, able to provide quantitative results of azithromycin in tablets equivalent to those provided by official HPLC method of USP44.