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1.
Braz. J. Pharm. Sci. (Online) ; 53(2): e16064, 2017. tab, graf
Article in English | LILACS | ID: biblio-839484

ABSTRACT

ABSTRACT Prednisone is an anti-inflammatory steroid drug widely used in clinical practice. However, no high-performance liquid chromatographic (HPLC) method has been described in the literature for the determination of prednisone in capsules until now. Thus, an HPLC method was developed using a C18 (250x4.0, 5 µm) column, with methanol:water (70:30) as mobile phase at a flow rate of 1 mL/min and detection at 240 nm. The developed method was validated following current Brazilian legislation. Additionally, linearity was assessed by evaluating the assumptions of normality, homoscedasticity, and independency of residuals, and the fit to the linear model. The method showed linearity (r2>0.99) over the range of 14.0-26.0 µg/mL, selectivity, precision (RSD<2.0%), robustness, and accuracy (average recovery of 100.05%). The chromatographic procedure was applied for assay and uniformity content determination of three different batches of prednisone capsules, showing to be suitable for their quality control.


Subject(s)
Capsules/pharmacology , Prednisone/pharmacology , Chromatography, High Pressure Liquid/methods , Linear Models , Validation Study
2.
Braz. j. pharm. sci ; 49(2): 311-319, Apr.-June 2013. ilus, graf, tab
Article in English | LILACS | ID: lil-680642

ABSTRACT

Mycophenolate mofetil (MMF) and mycophenolate sodium (MPS) are an ester and a salt of mycophenolic acid. They have different kinetic in vivo characteristics due to differences in molecular structures, physicochemical properties and formulations administered. In this study, dissolution profiles of reference products were tested in different media to evaluate the effect of pH, kinetic dissolution and the best statistical model that can be used to predict the release of both drugs. The drug release was determined by using a validated ultraviolet spectrophotometry method, λ 250 nm. The method showed to be selective, linear, precise and accurate for MMF in 0.1 M HCl and MPS in sodium phosphate buffer pH 6.8. Dissolution kinetics models of zero order, first order, Higuchi, Hixson-Crowell and Weibull were applied to data in order to select the best fit by linear regression. The regression parameters were estimated and the models were evaluated with the results of residuals and coefficient of determination. The residuals obtained from dissolution kinetics models were random, uncorrelated, and normally distributed with constant variance. The R² values (74.7% for MMF and 95.8% for MPS) demonstrated good ability of the Weibull regression to explain the variability and to predict the drugs' release.


Micofenolato de mofetila (MMF) e micofenolato sódico (MPS) são, respectivamente, éster e sal sódico do ácido micofenólico. Os fármacos possuem características farmacocinéticas distintas em função das diferenças na estrutura molecular, nas propriedades físico-químicas e nas formulações administradas. Neste trabalho, os perfis de dissolução dos medicamentos referências foram testados em diferentes meios de dissolução com o objetivo de avaliar o efeito da variação de pH, a cinética de dissolução e o modelo estatístico mais adequado para prever a dissolução dos fármacos. A liberação dos fármacos foi determinada com método validado por espectroscopia no ultravioleta, λ 250 nm. O método mostrou-se seletivo, linear, preciso e exato para dissolução de MMF em 0,1 M HCl e MPS em tampão fosfato pH 6,8. Os modelos cinéticos de dissolução de ordem zero, primeira ordem, Higuchi, Hixson-Crowell e Weibull foram aplicados com o objetivo de selecionar aquele com o melhor ajuste por regressão linear. Os parâmetros de regressão foram estimados e os ajustes dos modelos foram verificados pelos resíduos e coeficientes de determinação. Os resíduos obtidos foram aleatórios, independentes, apresentaram variância constante e seguiram a distribuição normal. Os valores de R² (74,7% para MMF e 95,8% para MPS) indicaram bom ajuste da regressão de Weibull para explicar a variabilidade e estimar a liberação dos fármacos.


Subject(s)
In Vitro Techniques/methods , Kinetics , Dissolution/classification , Drug Liberation , Mycophenolic Acid/pharmacokinetics
3.
Braz. j. pharm. sci ; 46(2): 265-272, Apr.-June 2010. ilus, tab
Article in English | LILACS | ID: lil-564893

ABSTRACT

Oxcarbazepine (OXC) is an important anticonvulsant and mood stabilizing drug. A pharmacopoeial monograph for OXC is not yet available and therefore the development and validation of a new analytical method for quantification of this drug is essential. In the present study, a UV spectrophotometric method for the determination of OXC was developed. The various parameters, such as linearity, precision, accuracy and specificity, were studied according to International Conference on Harmonization Guidelines. Batches of 150 mg OXC capsules were prepared and analyzed using the validated UV method. The formulations were also evaluated for parameters including drug-excipient compatibility, flowability, uniformity of weight, disintegration time, assay, uniformity of content and the amount of drug dissolved during the first hour.


Oxcarbazepina (OXC) é um fármaco anticonvulsivante e estabilizante do humor. O desenvolvimento e validação de método analítico para quantificação da OXC são de fundamental importância devido à ausência de monografias farmacopéicas oficiais para esse fármaco. Nesse trabalho, um método espectrofotométrico UV para determinação da OXC foi desenvolvido. O método proposto foi validado seguindo os parâmetros de linearidade, precisão, exatidão e especificidade de acordo com as normas da Conferência Internacional de Harmonização. Cápsulas de OXC 150 mg foram preparadas e analisadas utilizando-se o método analítico validado. As formulações foram avaliadas com relação à compatibilidade fármaco-excipientes, fluidez, determinação de peso, tempo de desintegração, doseamento, uniformidade de conteúdo e quantidade do fármaco dissolvido após 60 minutos.


Subject(s)
Anticonvulsants/analysis , Methods , Validation Studies as Topic , Analysis of Variance , Capsules , Spectrophotometry, Ultraviolet/methods , Regression Analysis
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