A portable advanced electrocatalyst for polyphenolic chlorogenic acid evaluation in food samples
[Display omitted] •AgZrO2/GO was prepared by ultrasonication-assisted co-precipitation method.•AgZrO2/GO composite facilitate electrochemical reaction of CGA.•It exemplifies excellent physiochemical properties with Nanomolar detection and stability.•Real-time monitoring in environmental samples disp...
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Veröffentlicht in: | Chemical engineering journal (Lausanne, Switzerland : 1996) Switzerland : 1996), 2022-05, Vol.435, p.134796, Article 134796 |
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Format: | Artikel |
Sprache: | eng |
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•AgZrO2/GO was prepared by ultrasonication-assisted co-precipitation method.•AgZrO2/GO composite facilitate electrochemical reaction of CGA.•It exemplifies excellent physiochemical properties with Nanomolar detection and stability.•Real-time monitoring in environmental samples displays exquisite recoveries.
Herein, we discussed a highly sensitive and selective sensing platform for the electrochemical detection of CGA in a biological and environmental samples. The high conducting properties of silver merged zirconate (Ag-ZrO2) were ultrasonically incorporated with graphene oxide (GO). The physical and chemical properties were successfully scrutinized through various physiochemical characterization techniques. Further, it was altered on the surface of the glassy carbon electrode (GCE) and implemented in the detection of CGA by various voltammetric techniques. The electrochemical impedance spectroscopy (EIS) exemplifies excellent electron transfer with a very low charge transfer resistance (Rct = 258.78 Ω). Under the optimum conditions, a linear current response of CGA was obtained from 0.5 to 347 µmol L-1 concentration with a low limit of detection (LOD) of 0.006 µmol L-1. The sensor has an admirable selective response to CGA against other co-interfering species. Moreover, it exhibits high repeatability, reproducibility, and storage stability towards CGA. The proposed sensor demonstrates exquisite recoveries (95.08–99.55 %) in practical feasibility analysis of CGA in biological, vegetables, and fruit samples. Its outstanding performance elucidated it as a promising platform for real-time monitoring of CGA in the ecological system. |
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ISSN: | 1385-8947 1873-3212 |
DOI: | 10.1016/j.cej.2022.134796 |