Mass production of metal-doped graphene from the agriculture waste of Quercus ilex leaves for supercapacitors: inclusive DFT study.
Gaurav TatrariChetna TewariManoj KarakotiMayank PathakRitu JangraBoddepalli SanthibhushanSuman MahendiaNanda Gopal SahooPublished in: RSC advances (2021)
This work reports a facile, eco-friendly, and cost-effective mass-scale synthesis of metal-doped graphene sheets (MDGs) using agriculture waste of Quercus ilex leaves for supercapacitor applications. A single step-degradation catalyst-based pyrolysis route was used for the manufacture of MDGs. Obtained MDGs were further evaluated via advanced spectroscopy and microscopic techniques including Raman spectroscopy, FT-IR, XRD, SEM/EDX, and TEM imaging. The Raman spectrum showed D and G bands at 1300 cm -1 and 1590 cm -1 , respectively, followed by a 2D band at 2770 cm -1 , which confirmed the synthesis of few-layered MDGs. The SEM/EDX data confirmed the presence of 6.15%, 3.17%, and 2.36% of potassium, calcium and magnesium in the obtained MDGs, respectively. Additionally, the FT-IR, XRD, TEM, and SEM data including the plot profile diagrams confirmed the synthesis of MDGs. Further, a computational study was performed for the structural validation of MDGs using Gaussian 09. The density functional theory (DFT) results showed a chemisorption/decoration pattern of doping for metal ions on the few-layered graphene nanosheets, rather than a substitutional pattern. Further, resulting MDGs were used as an active material for the fabrication of a supercapacitor electrode using the polymer gel of PVA-H 3 PO 4 as the electrolyte. The fabricated device showed a decent specific capacitance of 18.2 F g -1 at a scan rate of 5 mV s -1 with a power density of 1000 W kg -1 at 5 A g -1 .
Keyphrases
- reduced graphene oxide
- density functional theory
- highly efficient
- quantum dots
- solid state
- raman spectroscopy
- gold nanoparticles
- metal organic framework
- room temperature
- carbon nanotubes
- high resolution
- computed tomography
- molecular dynamics
- electronic health record
- heavy metals
- big data
- molecular docking
- municipal solid waste
- machine learning
- risk assessment
- magnetic resonance imaging
- emergency department
- crystal structure
- single molecule
- wound healing
- adverse drug
- drug induced
- deep learning
- transition metal