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Title: | The Use of a Polyphenoloxidase Biosensor Obtained from the Fruit of Jurubeba (Solanum paniculatum L.) in the Determination of Paracetamol and Other Phenolic Drugs | Authors: | Antunes, Rafael Souza Garcia, Luane Ferreira Somerset, Vernon De Souza Gil, Eric Lopes, Flavio Marques |
Keywords: | Plant enzymes;vegetable polyphenoloxidases;amperometric biosensors;pharmaceutical analysis | Issue Date: | 2018 | Publisher: | Multidisciplinary Digital Publishing Institute (MDPI) | Journal: | Biosensors | Abstract: | The vegetable kingdom is a wide source of a diverse variety of enzymes with broad biotechnological applications. Among the main classes of plant enzymes, the polyphenol oxidases, which convert phenolic compounds to the related quinones, have been successfully used for biosensor development. The oxidation products from such enzymes can be electrochemically reduced, and the sensing is easily achieved by amperometric transducers. In this work, the polyphenoloxidases were extracted from jurubeba (Solanum paniculatum L.) fruits, and the extract was used to construct a carbon paste-based biosensor for pharmaceutical analysis and applications. The assay optimization was performed using a 0.1 mM catechol probe, taking into account the amount of enzymatic extract (50 or 200 µL) and the optimum pH (3.0 to 9.0) as well as some electrochemical differential pulse voltammetric (DPV) parameters (e.g., pulse amplitude, pulse range, pulse width, scan rate). Under optimized conditions, the biosensor was evaluated for the quantitative determination of acetaminophen, acetylsalicylic acid, methyldopa, and ascorbic acid. The best performance was obtained for acetaminophen, which responded linearly in the range between 5 and 245 µM (R = 0.9994), presenting a limit of detection of 3 µM and suitable repeatability ranging between 1.52% and 1.74% relative standard deviation (RSD). | Description: | Article | URI: | https://doi.org/10.3390/bios8020036 http://hdl.handle.net/11189/6885 |
DOI: | 10.3390/bios8020036 |
Appears in Collections: | Appsc - Journal Articles (DHET subsidised) |
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File | Description | Size | Format | |
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Antunes_RS_Garcia_LF_Somerset_VS_de_Souza_Gil_E_Lopes_FM_AppSci_2018.pdf | Article | 6.35 MB | Adobe PDF | View/Open |
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