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Leenaerts, Ortwin; Partoens, B.; Peeters, F. M.

doi:10.1103/physrevb.77.125416

Cited by 1,597 publications

(762 citation statements)

References 15 publications

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“…This value is much larger than the calculated adsorption energy of 67 meV (1.5 kcal/mol) for NO 2 on pure graphene. 23 Residual oxygen defects such as carboxylic acids or epoxides in the reduced graphite oxide film should result in higher binding energies and may be responsible for the longer response times; this has been proposed earlier in the response of carbon nanotube sensors. 27 The micro hot plate sensor provides very fast temperature control and modulation and is a very useful tool in characterization of sensor materials and as an important enhancement to sensor response, recovery, and data interpretation.…”

Section: Resultsmentioning

confidence: 91%

“…In regard to graphene, theoretical calculations on the interaction with various molecules, including NO 2 and NH 3 , draw the conclusion that charge transfer is responsible for sensor response. 22,23 The following data indicate that the charge transfer mechanism is operative at the graphene surface with a limited role of the electrical contacts. First, the measurements presented in Figures 4 and 5 were made using the four-point sensors in Figure 1B, which eliminates the contact resistance of our sensing devices and also the area nearest to charge injection.…”

Section: Resultsmentioning

confidence: 93%

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Practical Chemical Sensors from Chemically Derived Graphene

et al. 2009

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We report the development of useful chemical sensors from chemically converted graphene dispersions using spin coating to create single-layer films on interdigitated electrode arrays. Dispersions of graphene in anhydrous hydrazine are formed from graphite oxide. Preliminary results are presented on the detection of NO 2 , NH 3 , and 2,4-dinitrotoluene using this simple and scalable fabrication method for practical devices. Current versus voltage curves are linear and ohmic in all cases, studied independent of metal electrode or presence of analytes. The sensor response is consistent with a charge transfer mechanism between the analyte and graphene with a limited role of the electrical contacts. A micro hot plate sensor substrate is also used to monitor the temperature dependence of the response to nitrogen dioxide. The results are discussed in light of recent literature on carbon nanotube and graphene sensors.

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Section: Resultsmentioning

confidence: 91%

Section: Resultsmentioning

confidence: 93%

Practical Chemical Sensors from Chemically Derived Graphene

et al. 2009

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“…Namely, one of molecules acts as π-donor and the other act as π-acceptor in stacking interactions. 59 To have a better understanding on GO acting as π-donor or π-acceptor in the demulsification process, the intrinsic electronic characteristics of the graphene, GO and asphaltenes/resins are analyzed. As shown in Figure 9, the Fermi energy of graphene is 4.26-4.42 eV.…”

Section: Thementioning

confidence: 99%

Demulsification of Crude Oil-in-Water Emulsions Driven by Graphene Oxide Nanosheets

et al. 2015

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Seeking highly-efficient, rapid, universal and low-cost demulsification materials to break up the crude/heavy oil-in-water emulsion and emulsified oily wastewater at ambient condition has been the goal of petroleum industry. In this work, an amphiphilic material, graphene oxide nanosheets (GO), was introduced as a versatile demulsifier to break up the oil-in-water emulsion at room temperature. It was encouraging to find that the small oil droplets in the emulsion quickly coalesced to form the oil phase and separated with the water within a few minutes. The demulsification tests indicated that the residual oil in separated water samples were as low as ∼30 mg/L corresponding to a demulsification efficiency over 99.9% at an optimum GO dosage. More importantly, GO is not only useful for ordinary crude oil emulsion, but also can be used to break up the extra heavy oil emulsion. Effect of the 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 58 59 60 2 emulsion pH on the demulsification was also investigated. It was interesting to find that the distribution of GO either in oil or in water phase after demulsification was dependent on the pH value of the solution, which was attributed to the pH-dependent amphiphilicity of GO. The prominent demulsification ability of GO was attributed to the strong adsorption between the GO nanosheets and molecules of asphaltenes/resins driven by π-π interaction and/or n-π interaction. The findings in this work indicate that the GO nanosheets is a simple, high-efficient and universal demulsifier to separate the oil from the crude/heavy oil-in-water emulsions at ambient condition, which shows a good application prospect in oil industry.

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“…However, they become crucial in the approaching phase of the molecule, when different orientations and locations with respect to C atoms determine the effective reaction path and barrier for the chemisorption reaction [80][81][82].…”

Section: Manipulation Of Reactivitymentioning

confidence: 99%

Morphing Graphene-Based Systems for Applications: Perspectives from Simulations

et al. 2017

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Graphene, the one-atom-thick sp 2 -hybridized carbon crystal, displays unique electronic, structural and mechanical properties, which promise a large number of interesting applications in diverse high-tech fields. Many of these applications require its functionalization, e.g., with substitution of carbon atoms or adhesion of chemical species, creation of defects, modification of structure or morphology, to open an electronic band gap to use it in electronics, or to create 3D frameworks for volumetric applications. Understanding the morphology-properties relationship is the first step to efficiently functionalize graphene. Therefore, a great theoretical effort has been recently devoted to model graphene in different conditions and with different approaches involving different levels of accuracy and resolution. Here, we review the modeling approaches to graphene systems, with a special focus on atomistic level methods, but extending our analysis onto coarser scales. We illustrate the methods by means of applications with possible potential impact.

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Adsorption ofH2O,NH3, CO,
Ortwin Leenaerts
¹
,
B. Partoens
²
,
F. M. Peeters
³

Cited by 1,597 publications

References 15 publications

Practical Chemical Sensors from Chemically Derived Graphene

Practical Chemical Sensors from Chemically Derived Graphene

Demulsification of Crude Oil-in-Water Emulsions Driven by Graphene Oxide Nanosheets

Morphing Graphene-Based Systems for Applications: Perspectives from Simulations

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Adsorption ofH2O,NH3, CO,Ortwin Leenaerts1, B. Partoens2, F. M. Peeters3

Cited by 1,597 publications

References 15 publications

Practical Chemical Sensors from Chemically Derived Graphene

Practical Chemical Sensors from Chemically Derived Graphene

Demulsification of Crude Oil-in-Water Emulsions Driven by Graphene Oxide Nanosheets

Morphing Graphene-Based Systems for Applications: Perspectives from Simulations

Contact Info

Product

Resources

About

Adsorption ofH2O,NH3, CO,
Ortwin Leenaerts
¹
,
B. Partoens
²
,
F. M. Peeters
³