Development and validation of a multivariate calibration model for determination of dipyrone in oral solutions by near infrared spectroscopy

Abstract

Este trabalho propôs um novo método para a determinação de dipirona (DIP) em soluções orais farmacêuticas, usando medidas de transflectância no infravermelho próximo (NIR) e calibração multivariada. A faixa de estudo foi de 300,0 a 569,2 mg mL -1 de DIP. O melhor modelo PLS foi obtido com 2 variáveis latentes e apresentou erros médios quadráticos de calibração e de previsão (RMSEC e RMSEP) iguais a 1,1 e 1,0 mg mL -1 , respectivamente. O método foi validado de acordo com as resoluções da ANVISA e do ICH e foi considerado seletivo, linear, preciso, exato e robusto. Em comparação com as principais alternativas, titulação iodimétrica e CLAE, este método é mais simples, não-destrutivo, não gasta reagentes ou solventes nem gera resíduos. Além disso, a maior vantagem está na rapidez da análise, pois são gastos cerca de 50 s.This work developed a new method for determination of dipyrone (DIP) in oral pharmaceutical formulations, through the use of near infrared (NIR) transflectance measurements and multivariate calibration. The studied range varied from 300.0 to 569.2 mg mL -1 . The best PLS (partial least squares) model was obtained with two latent variables and the root mean square errors of calibration and prediction were 1.1 and 1.0 mg mL -1 , respectively. The proposed method was validated in accordance with ANVISA, the Brazilian regulatory agency, and ICH, being considered selective, linear, precise, accurate and robust. By comparison with the main alternatives, iodimetric titration and HPLC, this method is simpler, non-destructive, does not use reagents or solvents and does not produce chemical waste. Besides, its rapidity is considered the major advantage over the other methods, since only about 50 s were spent per assay.

Simultaneous quantification of artesunate and mefloquine in fixed-dose combination tablets by multivariate calibration with middle infrared spectroscopy and partial least squares regression

“…Methods based on diffuse reflectance infrared Fourier transform (DRIFT) middle infrared spectroscopy (MIR) and near infrared (NIR) spectroscopy have been adopted in the pharmaceutical industry for raw material testing and process monitoring, and have become a reliable alternative for the quality control of active pharmaceutical ingredients (APIs) [ 20 – 26 ]. Due to the significant overlap of IR bands, univariate techniques have limitations.…”