Chandel Madhurya, Moitra Debabrata, Makkar Priyanka, Sinha Harshit, Hora Harshdeep Singh, Ghosh Narendra Nath
Nano-materials Lab, Department of Chemistry, Birla Institute of Technology and Science Pilani K K Birla Goa Campus Goa-403726 India
RSC Adv. 2018 Aug 3;8(49):27725-27739. doi: 10.1039/c8ra05393f. eCollection 2018 Aug 2.
Here, we report an '' co-precipitation reduction based synthetic methodology to prepare CuFeO nanoparticle-reduced graphene oxide (CuFeO-RGO) nanocomposites. First principles calculations based on Density Functional Theory (DFT) were performed to obtain the electronic structures and properties of CuFeO, graphene and CuFeO-graphene composites, and to understand the interfacial interaction between CuFeO and graphene in the composite. The synergistic effect, which resulted from the combination of the unique properties of RGO and CuFeO nanoparticles, was exploited to design a magnetically separable catalyst and high performance supercapacitor. It has been demonstrated that the incorporation of RGO in the composite enhanced its catalytic properties as well as supercapacitance performance compared with pure CuFeO. The nanocomposite with 96 wt% CuFeO and 4 wt% RGO (96CuFeO-4RGO) exhibited high catalytic efficiency towards (i) reduction of 4-nitrophenol to 4-aminophenol, and (ii) epoxidation of styrene to styrene oxide. For both of these reactions, the catalytic efficiency of 96CuFeO-4RGO was significantly higher than that of pure CuFeO. The easy magnetic separation of 96CuFeO-4RGO from the reaction mixture and good reusability of the recovered catalyst also showed here. 96CuFeO-4RGO also demonstrated better supercapacitance performance than pure CuFeO. 96CuFeO-4RGO showed specific capacitance of 797 F g at a current density of 2 A g, along with ∼92% retention for up to 2000 cycles. To the best of our knowledge, this is the first investigation on the catalytic properties of CuFeO-RGO towards the reduction of 4-nitrophenol and the epoxidation reaction, and DFT calculations on the CuFeO-graphene composite have been reported.
在此,我们报道了一种基于共沉淀还原的合成方法来制备铜铁氧体纳米颗粒-还原氧化石墨烯(CuFeO-RGO)纳米复合材料。基于密度泛函理论(DFT)进行了第一性原理计算,以获得CuFeO、石墨烯以及CuFeO-石墨烯复合材料的电子结构和性质,并了解复合材料中CuFeO与石墨烯之间的界面相互作用。利用RGO和CuFeO纳米颗粒独特性质的结合所产生的协同效应,设计了一种可磁分离的催化剂和高性能超级电容器。结果表明,与纯CuFeO相比,复合材料中RGO的掺入增强了其催化性能以及超级电容性能。含有96 wt% CuFeO和4 wt% RGO的纳米复合材料(96CuFeO-4RGO)对(i)4-硝基苯酚还原为4-氨基苯酚以及(ii)苯乙烯环氧化为环氧苯乙烯表现出高催化效率。对于这两个反应,96CuFeO-4RGO的催化效率明显高于纯CuFeO。在此还展示了96CuFeO-4RGO易于从反应混合物中磁分离以及回收催化剂的良好可重复使用性。96CuFeO-4RGO还表现出比纯CuFeO更好的超级电容性能。96CuFeO-4RGO在电流密度为2 A g时的比电容为797 F g,在高达2000次循环中保持率约为92%。据我们所知,这是首次关于CuFeO-RGO对4-硝基苯酚还原和环氧化反应催化性能的研究,并且已报道了对CuFeO-石墨烯复合材料的DFT计算。