2013
DOI: 10.1039/c3ra42254b
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Novel graphene oxide/manganese oxide nanocomposites

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Cited by 18 publications
(10 citation statements)
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“…6,7 In the last decade, the role of carbon and carbon based nanocomposite materials was vital in leading scientic and industrial research related to nanotechnology. The carbon material such as graphite, fullerene C60, fullerene C540, carbanions, graphene, single walled carbon nanotube (SWCNT) and multi walled carbon nanotube (MWCNT) have been widely used in some important applications such as drug delivery, 8,9 luminescent nanomaterials, 8,10 nanocomposites, [11][12][13][14] and catalysts of chemical reactions 15 owing to their excellent stability, large surface area and thinner thickness. [16][17][18][19] Among these carbon materials, graphene oxide (GO) and GO based nanocomposite materials have garnered interest of several researchers because of its large surface to volume ratio, low cost, unique and electronic properties, mechanical strength, higher optical and thermal properties.…”
Section: Flutamidementioning
confidence: 99%
“…6,7 In the last decade, the role of carbon and carbon based nanocomposite materials was vital in leading scientic and industrial research related to nanotechnology. The carbon material such as graphite, fullerene C60, fullerene C540, carbanions, graphene, single walled carbon nanotube (SWCNT) and multi walled carbon nanotube (MWCNT) have been widely used in some important applications such as drug delivery, 8,9 luminescent nanomaterials, 8,10 nanocomposites, [11][12][13][14] and catalysts of chemical reactions 15 owing to their excellent stability, large surface area and thinner thickness. [16][17][18][19] Among these carbon materials, graphene oxide (GO) and GO based nanocomposite materials have garnered interest of several researchers because of its large surface to volume ratio, low cost, unique and electronic properties, mechanical strength, higher optical and thermal properties.…”
Section: Flutamidementioning
confidence: 99%
“…Here we propose a plausible formation mechanism of CDs, on the basis of several spectroscopic findings and previously published literature on the thermal decomposition of CA. 42,43 During pyrolysis, CA can decompose to form either 3oxopentanedioic acid or itaconic acid (Scheme 1 and Section S6) by oxidative decarboxylation. The 3-oxopentanedioic acid then undergoes an acid-catalyzed aldol condensation type of reaction to form C. Then C takes part in several coupling and rearrangement reactions to form dimers, trimers, polymers, and ultimately heterogeneously conjugated mature CDs by obeying statistical thermodynamics.…”
Section: Chemistry Of Materialsmentioning
confidence: 99%
“…To acquire more precise physical views of the polymer formation mechanism and unique spectroscopic properties of pCDs, we have attempted to simulate a plausible computational model on the basis of our spectroscopic findings and previously published literature on the thermal decomposition of CA. 12,22,23 Acid-catalyzed condensation reactions may create building blocks 1, 2, 3, 4, S6). 12 To construct a 3D model, we have made two assumptions: either (a) those moieties (in our case 1−6) evolved during the metamorphosis of CDs and packed up according to their increasing conjugation, which is partially supported by photobleaching experiment of CDs, indicating layer by layer structure (Figure 3 and Figures S7 and S9) 12 or (b) all of the building blocks (1−6) may be organized randomly in a closed cell of 10 nm (Figures S8 and S10) and mostly the chromphores on the surface of the dots undergo Michel addition reaction with DTT and polymerize accordingly (Figure 3).…”
Section: ■ Results and Discussionmentioning
confidence: 99%
“…To acquire more precise physical views of the polymer formation mechanism and unique spectroscopic properties of pCDs, we have attempted to simulate a plausible computational model on the basis of our spectroscopic findings and previously published literature on the thermal decomposition of CA 12,22,23 . Acid catalyzed condensation reactions, which may create building blocks -1, 2, 3, 4, 5, 6, etc ( Figure S6) 12 .…”
Section: Computational Model Of Pcdsmentioning
confidence: 99%