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A portable advanced electrocatalyst for polyphenolic chlorogenic acid evaluation in food samples
Chemical Engineering Journal ( IF 13.3 ) Pub Date : 2022-01-21 , DOI: 10.1016/j.cej.2022.134796
Krishnapandi Alagumalai , Ragurethinam Shanmugam , Shen-Ming Chen , Balamurugan Arumugam , Tse-Wei Chen , Jaysan Yu , Xiaoheng Liu , Sayee Kannan Ramaraj

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.



中文翻译:

用于食品样品中多酚绿原酸评价的便携式先进电催化剂

在此,我们讨论了一种用于电化学检测生物和环境样品中 CGA 的高灵敏度和选择性传感平台。将银合并锆酸盐 (Ag-ZrO 2 ) 的高导电性能与氧化石墨烯 (GO) 超声结合。通过各种物理化学表征技术成功地检查了物理和化学性质。此外,它在玻璃碳电极 (GCE) 的表面上进行了改变,并通过各种伏安技术用于 CGA 的检测。电化学阻抗谱 (EIS) 以极低的电荷转移电阻 (R ct = 258.78 Ω)。在最佳条件下,CGA 的线性电流响应在 0.5 到 347 µmol L -1浓度范围内获得,检测下限 (LOD) 为 0.006 µmol L -1。该传感器对 CGA 对其他共干扰物种具有令人钦佩的选择性响应。此外,它对 CGA 表现出高重复性、再现性和储存稳定性。所提出的传感器在生物、蔬菜和水果样品中 CGA 的实际可行性分析中表现出出色的回收率 (95.08–99.55%)。其出色的性能使其成为生态系统中 CGA 实时监测的有前景的平台。

更新日期:2022-01-26
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