Third-derivative spectrophotometric simultaneous determination of vitamins A and E in some pharmaceutical preparations

Walily, Abdel Fattah El; El-Anwar, Fawzy; Zamel, Saad

doi:10.1016/s0003-2670(00)84679-6

Cited by 8 publications

(4 citation statements)

References 6 publications

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“…As an example, there are several reports about the quantification of vitamins in pharmaceutical formulations by derivative spectrophotometry. [12][13][14] Multiple linear regression and artificial neural networks were also applied to resolve overlapping spectrophotometric signals of multivitamin samples. 15,16 Partial Least Squares (PLS) is a multivariate calibration technique used in the resolution of multicomponent systems.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous determination and classification of riboflavin, thiamine, nicotinamide and pyridoxine in pharmaceutical formulations, by UV-visible spectrophotometry and multivariate analysis

López-de-Alba¹,

López-Martínez²,

Cerdà³

et al. 2006

J. Braz. Chem. Soc.

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cInstituto de Ecología, Universidad del Mar, 70902 Puerto Ángel Oax., México Soft Independent Modeling of Class Analogy (SIMCA) e Regressão por Mínimos Quadrados Parciais foram usados nesse trabalho para a identificação e quantificação de tiamina, riboflavina, nicotinamida e piridoxina, por espectrofotometria UV-Vis, sem realizar os procedimentos analíticos de separação e pré-concentração. Para a quantificação, os intervalos de trabalho estabelecidos foram 1-14 mg L -1 para riboflavina, 2-26 mg L -1 para tiamina, 2-30 mg L -1 para nicotinamida, e 2-22 mg L -1 para piridoxina. Os resultados de recuperação obtidos foram superiores a 95% em todos os casos, para a análise de amostras sintéticas e comerciais. Na busca de cada vitamina alvo, foi construído um modelo de classificação com duas categorias: (i) com a vitamina de interesse e (ii) sem a vitamina de interesse. A capacidade discriminatória de cada modelo de classificação foi avaliada para aprendizagem, para um conjunto de amostras teste e para amostras comerciais, com resultados satisfatórios, com exceção da riboflavina. Assim, um método simples e confiável é proposto para a estimativa simultânea desses compostos.Soft Independent Modeling of Class Analogy and Partial Least Squares Regression were used in this work for the identification and quantification of thiamine, riboflavin, nicotinamide and pyridoxine by UV-Vis spectrophotometry, without separation or preconcentration steps in the analytical procedure. For quantitative purposes, the working range established was 1-14 mg L -1 for riboflavin, 2-26 mg L -1 for thiamine, 2-30 mg L -1 for nicotinamide, and 2-22 mg L -1 for pyridoxine. Recovery results higher than 95% were obtained in all cases during the analysis of synthetic and commercial samples. In the screening of each target vitamin, a classification model was built with two classes: (i) with the vitamin of interest, and (ii) without it. The discriminate capability of each classification model was evaluated for learning, independent testing and commercial samples, resulting in satisfactory findings with exception of riboflavin. Thus, a simple and reliable method is proposed for the simultaneous estimation of these compounds.

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Section: Introductionmentioning

confidence: 99%

Simultaneous determination and classification of riboflavin, thiamine, nicotinamide and pyridoxine in pharmaceutical formulations, by UV-visible spectrophotometry and multivariate analysis

López-de-Alba¹,

López-Martínez²,

Cerdà³

et al. 2006

J. Braz. Chem. Soc.

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show abstract

“…14 In contrast, third-order derivative spectroscopy was used to quantify vitamins A and E without prior separation. 15 Resolving complex spectral overlaps of pharmaceutical binary mixtures without prior separation is a difficult task. 16 Ratio manipulating spectrophotometric methods are examples of remarkable techniques in addressing this issue, wherein firstorder derivatives of normalized ratio spectra have been utilized to solve the analysis of pharmaceutical binary combinations with severely overlapped spectra, 17,18 particularly when there are significant concentration differences between the components.…”

Section: ■ Introductionmentioning

confidence: 99%

“…For example, first-order derivative spectroscopy in the near-infrared region was employed to quantify vitamin C in medicines and resolve the overlapping spectra of the ingredients . In contrast, third-order derivative spectroscopy was used to quantify vitamins A and E without prior separation …”

Section: Introductionmentioning

confidence: 99%