1336-21-6Relevant articles and documents
Electrospun Cu-doped titania nanofibers for photocatalytic hydrolysis of ammonia borane
Yousef, Ayman,Barakat, Nasser A.M.,Kim, Hak Yong
, p. 98 - 106 (2013)
Among reported hydrogen storage materials, ammonia borane is a promising candidate to be utilized in many industrial applications. The high chemical resistance of the ceramic catalysts makes them one of the most stable classes of catalytic materials. In this study, CuO nanoparticles (NPs) -doped TiO 2 nanofibers (NFs) are introduced as a highly effective and reusable catalyst for ammonia borane complex hydrolysis. The incorporation of CuO NPs inside the TiO2 NFs provided distinct advantages for the introduced catalyst; the aggregation problem of the CuO NPs was overcome and a synergistic effect was created as the synthesized CuO NPs-doped TiO2 revealed higher activity compared to the individual components. Typically, after 10 min, the obtained hydrogen equivalent was 2.7, 0.9 and 0.95 when CuO NPs-doped TiO2 nanofibers, CuO NPs and pristine TiO2 nanofibers were used as the catalyst, respectively. The catalytic activity of the introduced nanofibers did not change after being used for three successive cycles. Moreover, the catalytic performance was strongly modified when the hydrolysis process was performed under sunlight irradiation because of the photocatalytic activity of the TiO2 and CuO. The introduced nanofibers were prepared by the simple, effective, low cost and high yielding technique of electrospinning. The present study introduces TiO2 nanofibers as a promising catalyst for the ammonia borane complex, as well as an interesting support used for functional materials.
S-Doped three-dimensional graphene (S-3DG): A metal-free electrocatalyst for the electrochemical synthesis of ammonia under ambient conditions
Wang, Jin,Wang, Shuang,Li, Jinping
, p. 2258 - 2263 (2020)
In this study, we report sulfur-doped three-dimensional graphene (S-3DG) as a metal-free electrocatalyst for N2 reduction reaction (NRR) under ambient conditions. Due to the high electron transport capacity and stable physicochemical properties
Effect of carbon and nitrogen double vacancies on the improved photocatalytic hydrogen evolution over porous carbon nitride nanosheets
Li, Huihui,Ning, Fuchun,Chen, Xiaofei,Shi, Anye
, p. 3270 - 3278 (2021)
Porous carbon nitride nanosheets with carbon and nitrogen double vacancies have been synthesized by a soft template-supported one-pot method. Besides their highly defined and unambiguous structure, they also show minimal thickness and high crystallinity.
Recharged Catalyst with Memristive Nitrogen Reduction Activity through Learning Networks of Spiking Neurons
Zhou, Gang,Li, Tinghui,Huang, Rong,Wang, Peifang,Hu, Bin,Li, Hao,Liu, Lizhe,Sun, Yan
supporting information, p. 5378 - 5385 (2021/05/04)
Electrocatalysis from N2 to NH3 has been increasingly studied because it provides an environmentally friendly avenue to take the place of the current Haber-Bosch method. Unfortunately, the conversion of N2 to NH3 is far below the necessary level for implementation at a large scale. Inspired by signal memory in a spiking neural network, we developed rechargeable catalyst technology to activate and remember the optimal catalytic activity using manageable electrical stimulation. Herein, we designed double-faced FeReS3 Janus layers that mimic a multiple-neuron network consisting of resistive switching synapses, enabling a series of intriguing multiphase transitions to activate undiscovered catalytic activity; the activation energy barrier is clearly reduced via an active site conversion between two nonequivalent surfaces. Electrical field-stimulated FeReS3 demonstrates a Faradaic efficiency of 43% and the highest rate of 203 μg h-1 mg-1 toward NH3 synthesis. Moreover, this rechargeable catalyst displays unprecedented catalytic performance that persists for up to 216 h and can be repeatedly activated through a simple charging operation.
Detection of 3,4-diaminotoluene based on Sr0.3Pb0.7TiO3/CoFe2O4 core/shell nanocomposite: Via an electrochemical approach
Abou Hammad, Ali B.,Alam, M. M.,Asiri, Abdullah M.,El Nahrawy, Amany M.,Elzwawy, Amir,Karim, Mohammad Razaul,Mansour, A. M.,Rahman, Mohammed M.
, p. 7941 - 7953 (2020/06/09)
Control of the sol-gel shell coating is important in the development of core-shell magnetic nanocomposites. Herein, we explored a scalable sol-gel method for the preparation of an Sr0.3Pb0.7TiO3/CoFe2O4 core-shell magnetic nanocomposite (SPT/CFO MNc) with a finely controlled shell and evaluated its efficiency as an electrochemical sensor. Firstly, CoFe2O4 nanoparticles were obtained via a citrate sol-gel method and sintered at 700 °C. Subsequently, Sr0.3Pb0.7TiO3 was applied to the CoFe2O4 nanoparticles to allow the formation of shells. The X-ray diffraction results indicated that the core nanoparticles have a cubic CoFe2O4 spinel structure and high-resolution transmission electron microscopy and scanning electron microscopy confirmed the successful formation of a uniform and thin Sr0.3Pb0.7TiO3 shell. The magnetic hysteresis loops confirmed the ferromagnetic nature of the as-prepared magnetic nanocomposite, which exhibited a saturation magnetization of 4 emu g-1 and coercive field of 600 Oe. An electrochemical sensor selective toward 3,4-diaminotoluene was fabricated by coating the synthesized Sr0.3Pb0.7TiO3/CoFe2O4 core-shell magnetic nanocomposite onto a glassy carbon electrode. Detailed experimental analyses were performed to assess the analytical parameters of the proposed sensor. The calibration curve of 3,4-diaminotoluene was obtained by plotting the linear relation of current versus 3,4-DAT concentration. According to the slope of the calibration curve, the sensor sensitivity was calculated to be 24.3323 μA μM-1 cm-2 by considering the surface area of the glassy carbon electrode (GCE: 0.0316 cm2). The linear dynamic range was estimated by considering the linear part of the calibration curve, which was found to be 0.1 nM-0.01 mM (linear dynamic range). Based on the signal-to-noise ratio of 3, the detection limit (96.09 ± 4.80 pM) and limit of quantification (320.3 pM) were calculated. Furthermore, effective and satisfactory results were obtained in the analysis of environmental samples.