Simultaneous determination of vitamins C, B6 and PP in pharmaceutics using differential pulse voltammetry with a glassy carbon electrode and multivariate calibration tools

Barthus, Rosangela Cristina; Mazo, Luiz Henrique; Poppi, Ronei J.

doi:10.1016/j.jpba.2004.12.017

Cited by 43 publications

(25 citation statements)

References 8 publications

(10 reference statements)

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“…It exceeds in three the theoretical limit of two expected factors. This could be caused by deviations from linearity due to interactions among the electroactive components and competition by the electrode surface [54,55], pH and electrolyte concentration effects. One evidence that the electrolyte concentration has influenced in the number of factors was verified when the electrolyte solution or AA concentration was varied.…”

Section: Multivariate Methodologymentioning

confidence: 99%

Electrochemical Studies of an Iron Porphyrin Immobilized on Nb₂O₅/SiO₂ and Its Application for Simultaneous Determination of Dopamine and Ascorbic Acid Using Multivariate Calibration Methodology

et al. 2007

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This paper shows an application of a first generation porphyrin, FeTPPCl 5,10,25,20-tetraphenylporphyrin iron(III) chloride (FeTPPCl or FeTPP þ ) immobilized on a inorganic matrix, SiO 2 /Nb 2 O 5 (niobium oxide grafted on silica gel surface, designated as SiNb) to the preparation of a carbon paste electrode (CPE). The carbon paste modified with a FeTPP þ immobilized on SiO 2 /Nb 2 O 5 (SiNb), designated as CPE/SiNb/FeTPP, was applied for simultaneous electrochemical determination of dopamine (DA) and ascorbic acid (AA). Because of the overlapping of the voltammetric peaks of DA and AA, the multivariate calibration methodology based on partial least square regression (PLSR) was proposed. The data pre-treatment used in this process was mean centering and to choose the principal components number a cross validation procedure was used (leave-one-out). Five principal components were necessary to obtain the lowest PRESS (prediction residual error sum of squares). The statistics showed that this model explains approximately 95.2% of the variance from the data set. Using this model, high correlation between actual and predicted concentrations was observed, mainly for higher dopamine (maximum relative error of 8%) and ascorbic acid (maximum relative error of 10%) concentrations. For low analytes concentrations the relative error increases to 35% for AA. Considering the similarity of the voltammetric response of the analytes, the results obtained were satisfactory and showed the promissory capability of the CPE/SiNb/FeTPP coupled multivariate calibration methods for simultaneous voltammetric analysis of DA and AA.

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Section: Multivariate Methodologymentioning

confidence: 99%

Electrochemical Studies of an Iron Porphyrin Immobilized on Nb₂O₅/SiO₂ and Its Application for Simultaneous Determination of Dopamine and Ascorbic Acid Using Multivariate Calibration Methodology

et al. 2007

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“…The modeling of experimental or real-time data with artificial neural network (ANN) techniques has been applied in many research fields, such as biotechnology, pharmaceutical, medicine and food [1][2][3][4][5][6][7][8]. In the biotechnology field, ANN modeling is a commonly applied approach for carrying out estimations, control studies, classification analysis, and fault diagnosis.…”

Section: Introductionmentioning

confidence: 99%

Modeling of polygalacturonase enzyme activity and biomass production by Aspergillus sojae ATCC 20235

Tokatlı

Tarı

Ünlütürk

et al. 2009

J Ind Microbiol Biotechnol

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Aspergillus sojae, which is used in the making of koji, a characteristic Japanese food, is a potential candidate for the production of polygalacturonase (PG) enzyme, which of a major industrial significance. In this study, fermentation data of an A. sojae system were modeled by multiple linear regression (MLR) and artificial neural network (ANN) approaches to estimate PG activity and biomass. Nutrient concentrations, agitation speed, inoculum ratio and final pH of the fermentation medium were used as the inputs of the system. In addition to nutrient conditions, the final pH of the fermentation medium was also shown to be an effective parameter in the estimation of biomass concentration. The ANN parameters, such as number of hidden neurons, epochs and learning rate, were determined using a statistical approach. In the determination of network architecture, a cross-validation technique was used to test the ANN models. Goodness-offit of the regression and ANN models was measured by the R 2 of cross-validated data and squared error of prediction. The PG activity and biomass were modeled with a 5-2-1 and 5-9-1 network topology, respectively. The models predicted enzyme activity with an R 2 of 0.84 and biomass with an R 2 value of 0.83, whereas the regression models predicted enzyme activity with an R 2 of 0.84 and biomass with an R 2 of 0.69.

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“…Many electrochemical studies on vitamin B 6 have been performed by using both gold [36,38] and glassy carbon electrodes [39,40] since the determination of pyridoxine was described for the first time in 1975 [41]. In our experiments the voltammetric peaks of DNA and Fig.…”

Section: Interaction Of Dsdna With Vitamin Bmentioning

confidence: 95%

Electrochemical and Ultraviolet–visible spectroscopic studies on the interaction of deoxyribonucleic acid with vitamin B6

Liu

Cao

Dong

2008

Bioelectrochemistry

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Simultaneous determination of vitamins C, B6 and PP in pharmaceutics using differential pulse voltammetry with a glassy carbon electrode and multivariate calibration tools

Cited by 43 publications

References 8 publications

Electrochemical Studies of an Iron Porphyrin Immobilized on Nb₂O₅/SiO₂ and Its Application for Simultaneous Determination of Dopamine and Ascorbic Acid Using Multivariate Calibration Methodology

Electrochemical Studies of an Iron Porphyrin Immobilized on Nb₂O₅/SiO₂ and Its Application for Simultaneous Determination of Dopamine and Ascorbic Acid Using Multivariate Calibration Methodology

Modeling of polygalacturonase enzyme activity and biomass production by Aspergillus sojae ATCC 20235

Electrochemical and Ultraviolet–visible spectroscopic studies on the interaction of deoxyribonucleic acid with vitamin B6

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Simultaneous determination of vitamins C, B6 and PP in pharmaceutics using differential pulse voltammetry with a glassy carbon electrode and multivariate calibration tools

Cited by 43 publications

References 8 publications

Electrochemical Studies of an Iron Porphyrin Immobilized on Nb2O5/SiO2 and Its Application for Simultaneous Determination of Dopamine and Ascorbic Acid Using Multivariate Calibration Methodology

Electrochemical Studies of an Iron Porphyrin Immobilized on Nb2O5/SiO2 and Its Application for Simultaneous Determination of Dopamine and Ascorbic Acid Using Multivariate Calibration Methodology

Modeling of polygalacturonase enzyme activity and biomass production by Aspergillus sojae ATCC 20235

Electrochemical and Ultraviolet–visible spectroscopic studies on the interaction of deoxyribonucleic acid with vitamin B6

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Product

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Electrochemical Studies of an Iron Porphyrin Immobilized on Nb₂O₅/SiO₂ and Its Application for Simultaneous Determination of Dopamine and Ascorbic Acid Using Multivariate Calibration Methodology

Electrochemical Studies of an Iron Porphyrin Immobilized on Nb₂O₅/SiO₂ and Its Application for Simultaneous Determination of Dopamine and Ascorbic Acid Using Multivariate Calibration Methodology