Electrochemical Detection of Epicatechin in Green Tea Using Quercetin-Imprinted Polymer Graphite Electrode
| Autor: | Runu Banerjee Roy, Debangana Das, Panchanan Pramanik, Shreya Nag, Rajib Bandyopadhyay, Santanu Sabhapondit, Bipan Tudu, Shubham De, Ajanto Kumar Hazarika |
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| Rok vydání: | 2021 |
| Předmět: |
chemistry.chemical_classification
Detection limit Materials science Chromatography Ethylene glycol dimethacrylate Molecularly imprinted polymer Polymer High-performance liquid chromatography chemistry.chemical_compound chemistry Electrode Partial least squares regression Differential pulse voltammetry Electrical and Electronic Engineering Instrumentation |
| Zdroj: | IEEE Sensors Journal. 21:26526-26533 |
| ISSN: | 2379-9153 1530-437X |
| Popis: | The current study utilizes molecularly imprinted polymer (MIP) technology to fabricate a cost-effective and reproducible electrode for selective determination and quantitative prediction of epicatechin (EC) in green tea. Acrylamide (AAm) co-polymerized with ethylene glycol dimethacrylate (EGDMA) and optically inactive quercetin (Q) as the template has been used to make the MIP-Q@G material. The voltammetric experiment has been performed using the MIP-Q@G electrode with the help of a three-electrode configuration. In addition to a low detection limit (LoD) of 0.33 μM, the electrode exhibited two wide ranges of linearity from 1 μM – 100 μM and 100 μM to 500 μM. The limit of quantitation (LoQ) of the electrode was found to be 1.09 μM. Partial least square regression (PLSR) and principal component regression (PCR) models have been developed to investigate the predictive ability of the MIP-Q@G electrode using the differential pulse voltammetry (DPV) signals and the high- performance liquid chromatography (HPLC) data. Both PLSR and PCR models achieved prediction accuracies of 94.54 % and 94.41% with a root mean square error of calibration (RMSEC) of 0.113 and 0.119, respectively. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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