An alternative electrochemical approach for toluene detection with ZnO/MgO/Cr 2 O 3 nanofibers on a glassy carbon electrode for environmental monitoring.
Md Mahmud AlamAbdullah M AsiriMd Tamez UddinMohammed M RahmanM A IslamPublished in: RSC advances (2020)
In situ fabrication of a sensitive electrochemical sensor using a wet-chemically prepared ternary ZnO/MgO/Cr 2 O 3 nanofiber (NF)-decorated glassy carbon electrode (GCE) with Nafion adhesive was the approach of this study. The resultant NFs were characterized by various tools, such as powder X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), field emission scanning electron microscopy (FESEM), energy-dispersive X-ray spectroscopy (EDS), Fourier transform infrared spectroscopy (FTIR), Brunauer-Emmett-Teller (BET) surface area analysis, and ultraviolet-visible spectroscopy (UV/Vis). The analytical parameters of the proposed toluene sensor were characterized as follows: good sensitivity (23.89 μA μM -1 cm -2 ), a lower limit of detection (LOD; 95.59 ± 1.5 pM), a limit of quantification (LOQ; 318.63 ± 2.0 pM), efficient response time (18 s), and the dynamic range (LDR) for toluene detection of 0.1 nM-0.01 mM. The real-time application of the sensor is to protect the environmental ecosystem, as well as the public health from the harmful effects of toluene. In an environmental application, the toluene sensor exhibited good reproducibility, robustness, LOD, LOQ, and good reliability, which are discussed in detail and compared to the literature.
Keyphrases
- electron microscopy
- high resolution
- label free
- public health
- solid state
- human health
- reduced graphene oxide
- gold nanoparticles
- single molecule
- loop mediated isothermal amplification
- ionic liquid
- real time pcr
- particulate matter
- heavy metals
- systematic review
- room temperature
- risk assessment
- signaling pathway
- polycyclic aromatic hydrocarbons
- visible light
- magnetic resonance
- carbon nanotubes
- nuclear factor
- immune response
- walled carbon nanotubes
- pi k akt
- toll like receptor
- data analysis
- tissue engineering