Mechanochemical preparation of graphene nanosheets and their supercapacitor applications

Krishnamoorthy, Karthikeyan; Kim, Sang‐Jae

doi:10.1016/j.jiec.2015.09.012

Cited by 31 publications

(11 citation statements)

References 27 publications

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“…In recent years, two-dimensional (2D) nanomaterials [11] and hybrid materials [12] have attracted great interests. However, the synthesis of 2D nanosheets and hybrid materials is commonly involved with methods like arc-discharge synthesis, chemical vapor deposition, and microwave radiation, which are expensive, complicated, and sometimes harmful to the environment [13][14][15]. Now, the trend is to use biomass as a convenient and economical method for supercapacitors.…”

Section: Introductionmentioning

confidence: 99%

Porous Activated Carbons Derived from Pleurotus eryngii for Supercapacitor Applications

Yuan

Sun

et al. 2018

Journal of Nanomaterials

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Varieties of natural biomass have been utilized to prepare porous carbon materials for supercapacitor applications. In this work, porous activated carbons derived from Pleurotus eryngii were prepared by carbonization and KOH activation. The activated carbons presented a large specific surface area of 3255 m 2 ·g −1 with high porosity. The as-prepared electrode exhibited a maximal specific capacitance of 236 F·g −1 measured in a three-electrode cell system. Furthermore, the assembled symmetric supercapacitor showed a specific capacitance of 195 F·g −1 at 0.2 A·g −1 and a superior specific capacitance retention of about 93% after 15000 cycles. The desirable capacitive behavior suggests that Pleurotus eryngii is an attractive biomass source of carbon materials for the potential supercapacitor applications.

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Section: Introductionmentioning

confidence: 99%

Porous Activated Carbons Derived from Pleurotus eryngii for Supercapacitor Applications

Yuan

Sun

et al. 2018

Journal of Nanomaterials

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“…In this study, the graphene sheets were prepared via mechanochemical route using hydrazine hydrate as a reducing agent for efficient reduction of GO as reported in our previous study. [25] The use of wet milling condition was to prevent the aggregation or re-stacking of graphene during milling process. Figure 1 (a) represents the black colored graphene nanosheets 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 prepared via mechanochemical reduction reaction.…”

Section: Resultsmentioning

confidence: 99%

“…[24] The graphene nanosheets are prepared via wet mechanochemical method by reducing the GO via hydrazine assisted reduction in presence of ethanol. [25] Briefly, 10 g of GO sheets was dissolved in 50 mL of ethanol followed via the addition of hydrazine hydrate (5 mL) and the entire solution was allowed to wet milling at a speed of 300 rpm for 30 min. After the reaction period, the prepared graphene nanosheets were washed with ethanol, water, and allowed to dry at 80 8C for overnight.…”

Section: Preparation Of Graphene Nanosheets Via Mechanochemical Reducmentioning

confidence: 99%

Mechanochemical Reinforcement of Graphene Sheets into Alkyd Resin Matrix for the Development of Electrically Conductive Paints

et al. 2018

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In this work, we are reporting the preparation of graphene‐based conductive paints using mechanochemically prepared graphene nanosheets as a conductive pigment and alkyd resin as the binder with non‐toxic additives. The surface morphology and intermolecular interactions between the graphene pigments and alkyd resin in the prepared graphene nanopaint are studied using field emission scanning electron microscope, X‐ray photoelectron spectroscopy, and Raman spectroscopic analysis, respectively. The formation of percolation pathways owing to the interconnected graphene sheets in the paint matrix resulted in an excellent conductive behavior of the as‐prepared graphene paint, thus ensuring its applications in conductive paint technology. Furthermore, Raman mapping analysis (including intensity maps and peak position maps) was used to understand the spatial distribution of graphene sheets in the alkyd resin matrix of the paint.

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“…The Raman spectra of ACFs generally show two prominent D and G bands. The G band originates from an in-phase vibration of the E 2g mode of the sp 2 carbon domains, whereas the D band is induced by the disordered crystal structure with symmetry breaking or edges of graphene [15,17]. The Raman spectra of the modified ACFs are shown in Fig.…”

Section: Structural Propertiesmentioning

confidence: 99%

NO gas sensing ability of activated carbon fibers modified by an electron beam for improvement in the surface functional group

Park¹,

Lee²,

Jung³

et al. 2016

Carbon letters

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Activated carbon fiber (ACF) surfaces are modified using an electron beam under different aqueous solutions to improve the NO gas sensitivity of a gas sensor based on ACFs. The oxygen functional group on the ACF surface is changed, resulting in an increase of the number of non-carbonyl (-C-O-C-) groups from 32.5% for pristine ACFs to 39.53% and 41.75% for ACFs treated with hydrogen peroxide and potassium hydroxide solutions, respectively. We discover that the NO gas sensitivity of the gas sensor fabricated using the modified ACFs as an electrode material is increased, although the specific surface area of the ACFs is decreased because of the recovery of their crystal structure. This is attributed to the static electric interaction between NO gas and the non-carbonyl groups introduced onto the ACF surfaces.

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Mechanochemical preparation of graphene nanosheets and their supercapacitor applications

Cited by 31 publications

References 27 publications

Porous Activated Carbons Derived from Pleurotus eryngii for Supercapacitor Applications

Porous Activated Carbons Derived from Pleurotus eryngii for Supercapacitor Applications

Mechanochemical Reinforcement of Graphene Sheets into Alkyd Resin Matrix for the Development of Electrically Conductive Paints

NO gas sensing ability of activated carbon fibers modified by an electron beam for improvement in the surface functional group

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