The aim of this study was to quantitatively determine the olanzapine in a pharmaceutical formulation for assessing the potentiality of near infrared spectroscopy (NIR) combined with partial least squares (PLS) regression. The method was developed with samples based on a commercial formulation containing olanzapine and seven excipients. Laboratory and commercial samples (n = 27 and 18, respectively) were used by defining the calibration and prediction sets. The method was validated in the range from 1.0 to 12.5 of olanzapine per 100 mg of powder (average mass 210 mg), by accuracy, precision, linearity, analytical sensitivity, limit of detection and quantification. The multivariate model developed for olanzapine was based on PLS and the determination coefficient (rc and rp), with the root mean square error of calibration and prediction being 0.95, 0.93, 3.2 × 10-3 and 4.0 × 10-3% m/m, respectively. The proposed NIR method is an effective alternative for quantification of olanzapine in the pharmaceutical industry.

Uma das chaves para manter a melhoria da alta qualidade de fabricação está no uso de cartas de controle. Neste trabalho, cartas de controle multivariada baseadas nos escores da componente principal mais significativa e no sinal analítico líquido foram desenvolvidas para monitoramento simultâneo da qualidade de dois princípios ativos (isoniazida e rifampicina) numa formulação farmacêutica (amostras produzidas no laboratório e na produção) empregando um espectrômetro portátil na região do infravermelho próximo. Os limites previstos em ambas as cartas multivariadas foram calculados a partir das especificações de qualidade da formulação farmacêutica (± 5% do valor nominal para cada princípio ativo). O uso das cartas de controle multivariadas forneceu uma simples e poderosa ferramenta para avaliar a formulação farmacêutica aliada a espectroscopia no infravermelho próximo. O procedimento é rápido e flexível para o monitoramento da produção desta formulação farmacêutica produzida na UFRN/Brasil, com o objetivo de introduzir a tecnologia analítica de processos ao tratamento de tuberculose pulmonar.

One of the keys to maintain high manufacturing quality improvement is the use of control charts. In this work, multivariate control charts based on significant principal component (PC) scores and net analytical signal (NAS) were developed to simultaneously monitor the quality of two active pharmaceutical ingredients (API) (isoniazid and rifampicin) in pharmaceutical formulation (laboratory samples and production samples) using a portable near infrared spectrometer. The limits for both multivariate charts were estimated using the quality specifications from the pharmaceutical formulation (± 5% of the nominal content of each API). The use of these multivariate control charts has provided a simple and powerful tool to evaluate the content of pharmaceutical formulations based on isoniazid and rifampicin capsules combined with near infrared spectroscopy. The procedure is rapid and adjustable for monitoring the production of the pharmaceutical preparations produced at UFRN/Brazil toward the process analytical technology (PAT) for the treatment of pulmonary tuberculosis.