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Simultaneous voltammetric determination of dypirone and paracetamol with carbon paste electrode and multivariate calibration methodology

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      Abstract

      This paper shows the simultaneous electrochemical determination of dypirone (DIP) and paracetamol (PAR) by differential pulse voltammetry technique (DPV) using an unmodified carbon paste electrode. Because of the overlapping of the voltammetric peaks of DIP and PAR, 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 component number a cross validation procedure was used (leave-one-out). Four principal components were necessary to obtain the lowest PRESS (Prediction Residual Error Sum of Squares). The statistics showed that this model explains approximately 95.5% of the variance from the data set. Using this model, high correlation between real and predicted concentrations was observed. However, for low concentrations of PAR the relative error increased to 25%. Comparing RMSEP (Root Mean Square of Error Prediction) between PAR and DIP, it was observed that it was lower for DIP probably due to higher analytical information in the voltammograms for this analyte when compared to the electrochemical process of PAR, which presented only one potential peak due to its irreversible oxidation.

      Translated abstract

      Esse artigo descreve a determinação simultânea de dipirona (DIP) e de paracetamol (PAR) utilizando a técnica de Voltametria de Pulso Diferencial (VPD) e eletrodo de pasta de carbono não modificado. Devido à sobreposição dos picos voltamétricos de DIP e PAR, a metodologia de calibração multivariada baseada na Regressão de Mínimos Quadrados Parciais (PLSR) foi proposta. O conjunto de voltamogramas obtidos na presença de ambos os analitos em diferentes concentrações foi pré-processado pelos dados centrados na média. Para escolha do número de componentes principais, um procedimento de validação cruzada foi empregado, sendo que quatro componentes principais foram necessárias para obtenção dos menores valores de PRESS (Prediction Residual Error Sum of Squares). Esse modelo explicou aproximadamente 95,5% da variância do conjunto de dados. Os dados obtidos utilizando-se esse modelo mostraram uma alta correlação entre as concentrações reais e previstas. Entretanto, para baixas concentrações do PAR, os erros relativos aumentaram para 25%. Comparando-se os valores de RMSEP (Root Mean Square of Error Prediction), entre PAR e DIP, foi observado que este foi menor para DIP, provavelmente devido a maior quantidade de informação analítica apresentada pelos voltamogramas desse analito quando comparado ao processo redox de PAR, o qual devido a sua oxidação irreversível apresenta apenas um único pico.

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      Most cited references 46

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      Metabolites identification and multi-component pharmacokinetics of ergostane and lanostane triterpenoids in the anticancer mushroom Antrodia cinnamomea.

       Xue Qiao,  Qi Wang,  Shuai Ji (2015)
      Antrodia cinnamomea is a precious medicinal mushroom popularly used for adjuvant cancer therapy in Taiwan. Its major bioactive constituents are ergostane and lanostane triterpenoids. Although clinical trials for A. cinnamomea have been recently initiated, its metabolism remains unclear. The present study aims to elucidate the metabolism and pharmacokinetics of A. cinnamomea in rats. After oral administration of an ethanol extract, 18 triterpenoids and 8 biotransformed metabolites were detected in rats plasma by UHPLC/qTOF-MS. Four of the metabolites were prepared by semi-synthesis and fully identified by NMR, while the others were tentatively characterized by comparing with the metabolites of single compounds (antcins B, C, H and K). Furthermore, a multi-component pharmacokinetic study of A. cinnamomea was carried out to monitor the plasma concentrations of 14 triterpenoids (ergostanes 1-3, 5-8, 14-16; lanostanes 9, 10, 17, 19) and 2 metabolites (M5, M6) by LC/MS/MS in rats after oral administration of the ethanol extract (1.0 g/kg). The results showed that ergostanes and Δ(7,9(11)) lanostanes, but not Δ(8) lanostanes, could get into circulation. The low-polarity ergostanes (antcins B and C) undertook hydrogenation (C-3 or C-7 carbonyl groups) or hydroxylation to produce polar metabolites. High-polarity ergostanes (antcins H and K) and Δ(7,9(11)) lanostanes were metabolically stable. We also discovered that ergostanes and lanostanes showed remarkably different pharmacokinetic patterns. The ergostanes were generally absorbed and eliminated rapidly, whereas the lanostanes remained in the plasma at a low concentration for a relatively long time. The results indicate that high-polarity ergostanes are the major plasma-exposed components of A. cinnamomea, and may play an important role in its therapeutic effects.
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        The United State Pharmacopeia: The National Formulary

        (2005)
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           K Srogi (2008)
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            Author and article information

            Affiliations
            [1 ] Universidade Estadual de Ponta Grossa Brazil
            Contributors
            Role: ND
            Role: ND
            Role: ND
            Role: ND
            Journal
            jbchs
            Journal of the Brazilian Chemical Society
            J. Braz. Chem. Soc.
            Sociedade Brasileira de Química (São Paulo )
            1678-4790
            2008
            : 19
            : 4
            : 762-768
            S0103-50532008000400021 10.1590/S0103-50532008000400021

            http://creativecommons.org/licenses/by/4.0/

            Product
            Product Information: SciELO Brazil
            Categories
            CHEMISTRY, MULTIDISCIPLINARY

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