Utilização do sinal analitico liquido para avaliação de modelos de calibração multivariada atraves do calculo de figuras de merito e de cartas de controle / Utilization of net analyte signal for validation of models of multivariate calibration by using figure of merit and chart control

AUTOR(ES)
DATA DE PUBLICAÇÃO

2007

RESUMO

This study was mainly intended to elaborate the validation of multivariate calibration models based on the determination of figures of merit and multivariate control charts constructed with data from Nimesulide tablets upon near-infrared spectroscopy use. A total of 69 synthetic samples were prepared containing the active principle (Nimesulide) in the range of 10,38-39, 47% (m/m) in excipients (Cellulose,Sodium Lauryl Sulphate, Magnesium Stearate, Carmellose Sodium,Povidone and Lactose). It was used 49 samples for the calibration and 20 for the validation that were separated by the Kennard-Stone algorithm. It was used the multiplicative scatter correction on the spectra set. Then, the following values for figures of merit were calculated: limit of detection (0,61) , limit quantification (2,03) , accuracy (RMESC 0,66 %(m/m), RMESCV 0,92%(m/m), RMESP 1,05%(m/m) of Nimesulide), mean selectivity (0,0056), sensitivity (0,0036), inverse analytical sensitivity (0,20 %(m/m)- 1 of the Nimesulide) and signal-to-noise ration (181, 11). In the second application, 113 synthetic samples were used for the construction of multivariate control charts. Three control charts were designed and the control limits for each chart were calculated. The values found were: - chart NAS (upper = 6,54x10; below = 5,25x10), chart interferent (7,45) and chart residual (2,38x10). From these charts it was possible to identify the samples that were in and out of control. It was obtained 64 samples out of control and 20 samples in control, according to the experimental design. Therefore, it was possible to identify, in a qualitative way, the Nimisulide samples that were in control and the ones that were out of control. Hence it follows that, this research project suggests a new analytical method that can be used for quality control in drugs and also for the validation of multivariate calibration models. Thus, the results obtained indicate that this model can be used in pharmaceutical industries as an alternative to the standard procedure

ASSUNTO(S)

nimesulida nas (net analyte signal) figure of merit statistical quality control multivariate figuras de merito carta de controle multivariada nas nimesulide

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