MIL-88B(Fe)-NH 2 : an amine-functionalized metal-organic framework for application in a sensitive electrochemical sensor for Cd 2+ , Pb 2+ , and Cu 2+ ion detection.
Luyen Thi TranHue T M DangHoang Vinh TranGiang T L HoangChinh D HuynhPublished in: RSC advances (2023)
We propose here an electrochemical platform for multi-heavy metal ion detection in water based on MIL-88B(Fe)-NH 2 , an amine-functioned metal-organic framework (MOF) for modifying the surface of a glassy carbon electrode (GCE). Herein, MIL-88B(Fe)-NH 2 with abundant functionalized amine groups can play the role of capture sites for the enrichment of metal ions before electrochemical oxidation sensing. MIL-88B(Fe)-NH 2 was synthesized under optimized conditions through a solvothermal method and characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), transition electron microscopy (TEM), Fourier-transform infrared spectroscopy (FT-IR), cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) techniques. MIL-88B(Fe)-NH 2 was then drop-casted on GCE to electrochemically determine the Cd 2+ , Pb 2+ and Cu 2+ ion concentrations by differential pulse voltammetry (DPV). The electrochemical sensor exhibits excellent electrochemical performance toward Cd 2+ , Pb 2+ and Cu 2+ ions in the large linear ranges of 0.025-1.000 μM, 0.3-10.0 μM and 0.6-10.0 μM with limits of detection that are 2.0 × 10 -10 M, 1.92 × 10 -7 M and 3.81 × 10 -7 M, respectively. The fabricated sensor also shows high reliability and good selectivity. This MIL-88B(Fe)-NH 2 application strategy is promising for the evaluation of various heavy metal ions in water.
Keyphrases
- metal organic framework
- electron microscopy
- label free
- heavy metals
- molecularly imprinted
- gold nanoparticles
- ionic liquid
- aqueous solution
- room temperature
- quantum dots
- risk assessment
- health risk
- health risk assessment
- perovskite solar cells
- high resolution
- loop mediated isothermal amplification
- sewage sludge
- solid phase extraction
- blood pressure
- magnetic resonance
- computed tomography
- water soluble
- mass spectrometry
- drinking water
- neural network