A novel approach to simultaneous and sensitive detection of epinephrine and folic acid with nickel-metal organic framework and reduced graphene oxide based electrochemical sensor

This illustrated abstract describes how to prepare lamellar structure metal Ni-MOF by simple hydrothermal method. Ni-MOF/RGO nanocomposites were prepared by proportionally mixing Ni-MOF and RGO via ultrasonication. Ni-MOF/RGO were used to modify onto GCE and detect EP and FA in actual human serum and urine samples. [Display omitted] •A facile hydrothermal method is employed to synthesize Ni-MOF as electrode modifier.•Ni-MOF/RGO/GCE is highly sensitive for simultaneous determination of EP and FA.•Ni-MOF/RGO/GCE exhibits a low LOD and excellent selectivity, reproducibility and stability.•The sensor is used for the simultaneous detection of EP and FA in biological fluids samples. Epinephrine (EP) and Folic Acid (FA) coexist in human body fluids, and monitoring their levels is important for human health. The detection of these two biomarkers can provide early data support for preventing or treating related diseases, which helps to improve the effectiveness of diagnosing, treating, and preventing a variety of health issues. An efficient and convenient electrochemical sensor for simultaneous detect of EP and FA was developed, utilizing reduced Graphene Oxide (RGO) and Nickel-Metal Organic Framework (Ni-MOF) nanocomposite to modify glassy carbon electrodes (GCE). The electrocatalytic performance of Ni-MOF/RGO/GCE for the EP and FA was investigated in detail. With detection limits for EP and FA were 0.018 μM and 0.016 μM, respectively, the wide linear range was 0.05–150 μM and 0.01–200 μM. The findings indicate that the developed Ni-MOF/RGO/GCE sensing platform offers high sensitivity, rapid response time, and robust anti-interference capabilities. This composite material has been effectively utilized for the detection of EP and FA in both human urine and serum samples, yielding impressive recovery rates. Prepared sensor holds promise for healthcare monitoring applications.