Design and Construction of the Gadolinium Oxide Nanorod-Embedded Graphene Aerogel: A Potential Application for Electrochemical Detection of Postharvest Fungicide.
Thangavelu KokulnathanShen-Ming ChenPublished in: ACS applied materials & interfaces (2020)
The rapid development of electrochemical sensors holds great promise to serve as next generation point-of-care safety devices. However, the practical performances of electrochemical sensors are cruelly limited by stability, selectivity, and sensitivity. These issues have been well addressed by introducing rational designs into the modified electrode for achieving the required performances. Herein, we demonstrate the gadolinium oxide nanorods embedded on the graphene aerogel (GdO NRs/GA) for a highly selective electrochemical detection of carbendazim (CDM). The GdO NRs/GA nanocomposite was characterized using X-ray diffraction, Raman spectroscopy, X-ray photoelectron spectroscopy, field emission gun scanning electron microscopy, transmission electron microscopy with elemental mapping, and energy-dispersive spectrometry. The GdO NRs/GA-modified electrode shows a much improved electrochemical performance compared to other electrodes. Interestingly, the GdO NRs are strongly anchored in the GA matrix, which provides a more sufficient pathway for the rapid electron and ion transportation. On the basis of these findings, our proposed sensor achieves a wide detection range from 0.01 to 75 μM with a correlation coefficient of 0.996 and a low detection limit of 3.0 nM. Most markedly, the real-time monitoring of the proposed electrochemical sensor was proved by the successful determination of CDM in environmental samples. Our research work has opened a novel way to the rationale for the construction of highly efficient practical electrochemical sensors.
Keyphrases
- electron microscopy
- label free
- gold nanoparticles
- molecularly imprinted
- loop mediated isothermal amplification
- ionic liquid
- pet ct
- reduced graphene oxide
- solid phase extraction
- high resolution
- highly efficient
- raman spectroscopy
- carbon nanotubes
- room temperature
- photodynamic therapy
- clinical trial
- electron transfer
- big data
- mass spectrometry
- risk assessment
- magnetic resonance
- machine learning
- gas chromatography mass spectrometry
- liquid chromatography
- gas chromatography
- crystal structure
- deep learning