Fabrication and characterization of a NiO-ZnO/PANI-CNTs composite for sensing of methanol in an aqueous environment.
Pham Thi NamNguyen Thi ThomVo Thi Kieu AnhHuynh Le Thanh NguyenNguyen Thi Thu TrangNguyen Thai HoangNguyen Vân-AnhNguyen Tuan AnhHai Viet LeTran Dai LamPublished in: RSC advances (2023)
In this study, we fabricated a composite of NiO-ZnO/PANI-CNTs on a fluorine tin oxide (FTO) electrode and examined the electrochemical sensing behavior of the modified electrode to detect methanol in aqueous solution. The structural, morphological, and electrochemical properties of the composite were characterized using various methods such as X-ray diffraction (XRD), EDS, FTIR, X-ray photoelectron spectroscopy (XPS), field-emission scanning electron microscopy (FE-SEM), transmission electron microscopy (TEM), selected area electron diffraction (SAED), and electrochemical techniques such as cyclic voltammetry (CV) and chronoamperometry (CA). The composite-based electrode showed excellent electrocatalytic activity and selectivity for methanol oxidation. The calibration equation obtained was Δ I = 0.0003 × C MeOH + 0.02811, with a high correlation coefficient of 0.9993, over a wide detection range of 0 to 500 mM. The material exhibits great potential for the fabrication of sensors to detect methanol in commercial products. Real gasoline samples have been selected to evaluate the practical performance and feasibility of this as-prepared sensor. The experimental data indicated that the recovery of gasoline samples is about 98%, indicating this to be an appropriate detection procedure for effective electrochemical determination of MeOH in real gasoline samples.
Keyphrases
- electron microscopy
- label free
- molecularly imprinted
- gold nanoparticles
- ionic liquid
- aqueous solution
- carbon dioxide
- reduced graphene oxide
- low cost
- solid state
- room temperature
- solid phase extraction
- quantum dots
- carbon nanotubes
- loop mediated isothermal amplification
- visible light
- electron transfer
- electronic health record
- high resolution
- single molecule
- real time pcr
- metal organic framework
- minimally invasive
- machine learning
- positron emission tomography
- tissue engineering
- hydrogen peroxide
- climate change
- human health