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Bahaa M. Abu-Zied,Lucie Obalová,Katerina Pacultová,Anna Klegova,Abdullah M. Asiri 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.93 No.-
This investigation aimed to develop a series of new spinel-oxide catalysts with the general formulaMnxCo1 xCo2O4 (0.0 x 1.0) and testing their activity towards N2O direct decomposition. Thesecatalysts have been prepared by the microwave-assisted co-precipitation method and the subsequentcalcination at 500 C. Characterization results revealed that the utilized preparation protocol has led tothe development of pure spinel phases with nanorods morphology. N2O decomposition experimentsindicated that the prepared catalysts were active and the best performance was exhibited byMn0.75Co0.25Co2O4 catalyst. The activity of the Mn0.75Co0.25Co2O4 was enhanced by doping with K-ions atoptimal concentration (nK/(nCo + nMn) = 0.025). The co-existence of some contaminants (O2, NO, H2Ovapor) in the reactor feed revealed different inhibitory levels on the performance of theK0.025Mn0.75Co0.25Co2O4 catalyst. The inhibitory order was O2< H2O < NO < O2 + H2O < O2 + H2O + NO.
Cu-loaded ZSM-5 zeolites: An ultra-sensitive phenolic sensor development for environmental safety
Mohammed M. Rahman,Bahaa M. Abu-Zied,Abdullah M. Asiri 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.61 No.-
Various copper loaded ZSM-5 zeolites was prepared and characterized in details of their optical, structural, morphological, elemental properties by various conventional methods. The Cu-ZSM-5 zeolites were deposited on silver electrode to result in a chemical sensor that has a fast response to selective 3-methoxyphenol (3-MP) in buffer phase. Analytical sensor parameters such as sensitivity, detection limit, reproducibility, selectivity, repeatability, linear dynamic range, and electrochemical performances were investigated in details with the Cu-ZSM-5 zeolites fabricated sensors. The calibration plot is linear over the large 3-MP concentration range. The sensitivity and detection limit of target 3-MP is calculated as ∼13.232 μA cm−2 μM−1 and 0.083 ± 0.002 nM (at a signal-to-noise-ratio, SNR of 3) respectively. With such excellent features as wide linear dynamic range, higher sensitivity, good stability, lowest detection limit, excellent selectivity, the developed sensor provides a new strategy for determination of 3-MP in biomedical and environmental sample with satisfactory results.
Hussein Mahmoud A.,El-Said Waleed A.,Abu-Zied Bahaa M.,최정우 나노기술연구협의회 2020 Nano Convergence Vol.7 No.15
Construction of a fast, easy and sensitive neurotransmitters-based sensor could provide a promising way for the diagnosis of neurological diseases, leading to the discovery of more effective treatment methods. The current work is directed to develop for the first time a flexible Surface-Enhanced Raman Spectroscopy (SERS) based neurotransmit‑ ters sensor by using the ultrasonic-assisted fabrication of a new set of epoxy resin (EPR) nanocomposites based on graphene nanosheets (GNS) using the casting technique. The perspicuous epoxy resin was reinforced by the variable loading of GNS giving the general formula GNS/EPR 1–5 . The designed products have been fabricated in situ while the perspicuous epoxy resin was formed. The expected nanocomposites have been fabricated using 3%, 5%, 10%, 15% and 20% GNS loading was applied for such fabrication process. The chemical, physical and morphological properties of the prepared nanocomposites were investigated by using Fourier transforms infrared spectroscopy, X-ray diffrac‑ tion, Thermogravimetric analysis, Differential Thermal gravimetry, and field emission scanning electron microscopy methods. The GNS/EPR 1–5 nanocomposites were decorated with a layer of gold nanoparticles (Au NPs/GNS/EPR) to create surface-enhanced Raman scattering hot points. The wettability of the Au NPs/GNS/EPR was investigated in comparison with the different nanocomposites and the bare epoxy. Au NPs/GNS/EPR was used as a SERS-active surface for detecting different concentrations of dopamine with a limit of detection of 3.3 µM. Our sensor showed the capability to detect low concentrations of dopamine either in a buffer system or in human serum as a real sample.