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Graphene wrinkling induced by monodisperse nanoparticles: facile control and quantification.

Vejpravova J, Pacakova B, Endres J, Mantlikova A, Verhagen T, Vales V, Frank O, Kalbac M - Sci Rep (2015)

Bottom Line: Typical fingerprint of the delaminated fraction is identified as substantial contribution to the principal Raman modes of the 1-LG (G and G').Correlation analysis of the Raman shift of the G and G' modes clearly resolved the 1-LG in contact and delaminated from the substrate, respectively.Our study thus offers universal approach for both fine tuning and facile quantification of the graphene topography up to ~60% of wrinkling.

View Article: PubMed Central - PubMed

Affiliation: Institute of Physics CAS, v.v.i., Department of Magnetic Nanosystems, Na Slovance 2, 18221 Prague 2, Czech Republic.

ABSTRACT
Controlled wrinkling of single-layer graphene (1-LG) at nanometer scale was achieved by introducing monodisperse nanoparticles (NPs), with size comparable to the strain coherence length, underneath the 1-LG. Typical fingerprint of the delaminated fraction is identified as substantial contribution to the principal Raman modes of the 1-LG (G and G'). Correlation analysis of the Raman shift of the G and G' modes clearly resolved the 1-LG in contact and delaminated from the substrate, respectively. Intensity of Raman features of the delaminated 1-LG increases linearly with the amount of the wrinkles, as determined by advanced processing of atomic force microscopy data. Our study thus offers universal approach for both fine tuning and facile quantification of the graphene topography up to ~60% of wrinkling.

No MeSH data available.


Related in: MedlinePlus

Correlation of the parameters representing the spatial distribution of nanoparticles and level of wrinkling of the 1-LG layer.The left panel shows the mean nanoparticle density, NNPs (black points) and mean interparticle distance, dNP-NP (red points) in context of the relative delaminated area, Aw determined by the analysis of the AFM data. The data roughly scales with NNPs and 1/dNP-NP for increasing relative intensity of the G2. The right panel correlates the Aw (obtained from AFM) to the ratio of the integral intensity of the G2 (attributed to the delaminated fraction of the 1-LG) and G1 modes (black points), which results in a robust linear dependence. Analogues plot is shown for the pair of G’1 and G’2 modes (red points), which follows the same trend with much lower slope. The grey outlying point corresponds to the sample with the largest Aw values (GNP3), which G’ is better analyzed by using a single peak with larger FWHM.
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f5: Correlation of the parameters representing the spatial distribution of nanoparticles and level of wrinkling of the 1-LG layer.The left panel shows the mean nanoparticle density, NNPs (black points) and mean interparticle distance, dNP-NP (red points) in context of the relative delaminated area, Aw determined by the analysis of the AFM data. The data roughly scales with NNPs and 1/dNP-NP for increasing relative intensity of the G2. The right panel correlates the Aw (obtained from AFM) to the ratio of the integral intensity of the G2 (attributed to the delaminated fraction of the 1-LG) and G1 modes (black points), which results in a robust linear dependence. Analogues plot is shown for the pair of G’1 and G’2 modes (red points), which follows the same trend with much lower slope. The grey outlying point corresponds to the sample with the largest Aw values (GNP3), which G’ is better analyzed by using a single peak with larger FWHM.

Mentions: First, we plotted the relative Raman intensity of the G2 (I(G2)/I(G1) < 1) against the parameters characterizing NP spatial distribution on the decorated substrates: NNPs and dNP-NP. The dependencies are shown in Fig. 5, left panel. The I(G2)/I(G1) decreases with dNP-NP as (36.2 ± 4.9) × d−1NP-NP–(0.02 ± 0.06) and increases linearly with NNPs as (1.2 ± 0.9)  × 10−3NNPs + (0.13 ± 0.03). The obtained dependencies show rather clear sign of correlation of the delamination due to wrinkling (quantified by the relative intensity of the G2) and spatial distribution of NPs on the substrate.


Graphene wrinkling induced by monodisperse nanoparticles: facile control and quantification.

Vejpravova J, Pacakova B, Endres J, Mantlikova A, Verhagen T, Vales V, Frank O, Kalbac M - Sci Rep (2015)

Correlation of the parameters representing the spatial distribution of nanoparticles and level of wrinkling of the 1-LG layer.The left panel shows the mean nanoparticle density, NNPs (black points) and mean interparticle distance, dNP-NP (red points) in context of the relative delaminated area, Aw determined by the analysis of the AFM data. The data roughly scales with NNPs and 1/dNP-NP for increasing relative intensity of the G2. The right panel correlates the Aw (obtained from AFM) to the ratio of the integral intensity of the G2 (attributed to the delaminated fraction of the 1-LG) and G1 modes (black points), which results in a robust linear dependence. Analogues plot is shown for the pair of G’1 and G’2 modes (red points), which follows the same trend with much lower slope. The grey outlying point corresponds to the sample with the largest Aw values (GNP3), which G’ is better analyzed by using a single peak with larger FWHM.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4632107&req=5

f5: Correlation of the parameters representing the spatial distribution of nanoparticles and level of wrinkling of the 1-LG layer.The left panel shows the mean nanoparticle density, NNPs (black points) and mean interparticle distance, dNP-NP (red points) in context of the relative delaminated area, Aw determined by the analysis of the AFM data. The data roughly scales with NNPs and 1/dNP-NP for increasing relative intensity of the G2. The right panel correlates the Aw (obtained from AFM) to the ratio of the integral intensity of the G2 (attributed to the delaminated fraction of the 1-LG) and G1 modes (black points), which results in a robust linear dependence. Analogues plot is shown for the pair of G’1 and G’2 modes (red points), which follows the same trend with much lower slope. The grey outlying point corresponds to the sample with the largest Aw values (GNP3), which G’ is better analyzed by using a single peak with larger FWHM.
Mentions: First, we plotted the relative Raman intensity of the G2 (I(G2)/I(G1) < 1) against the parameters characterizing NP spatial distribution on the decorated substrates: NNPs and dNP-NP. The dependencies are shown in Fig. 5, left panel. The I(G2)/I(G1) decreases with dNP-NP as (36.2 ± 4.9) × d−1NP-NP–(0.02 ± 0.06) and increases linearly with NNPs as (1.2 ± 0.9)  × 10−3NNPs + (0.13 ± 0.03). The obtained dependencies show rather clear sign of correlation of the delamination due to wrinkling (quantified by the relative intensity of the G2) and spatial distribution of NPs on the substrate.

Bottom Line: Typical fingerprint of the delaminated fraction is identified as substantial contribution to the principal Raman modes of the 1-LG (G and G').Correlation analysis of the Raman shift of the G and G' modes clearly resolved the 1-LG in contact and delaminated from the substrate, respectively.Our study thus offers universal approach for both fine tuning and facile quantification of the graphene topography up to ~60% of wrinkling.

View Article: PubMed Central - PubMed

Affiliation: Institute of Physics CAS, v.v.i., Department of Magnetic Nanosystems, Na Slovance 2, 18221 Prague 2, Czech Republic.

ABSTRACT
Controlled wrinkling of single-layer graphene (1-LG) at nanometer scale was achieved by introducing monodisperse nanoparticles (NPs), with size comparable to the strain coherence length, underneath the 1-LG. Typical fingerprint of the delaminated fraction is identified as substantial contribution to the principal Raman modes of the 1-LG (G and G'). Correlation analysis of the Raman shift of the G and G' modes clearly resolved the 1-LG in contact and delaminated from the substrate, respectively. Intensity of Raman features of the delaminated 1-LG increases linearly with the amount of the wrinkles, as determined by advanced processing of atomic force microscopy data. Our study thus offers universal approach for both fine tuning and facile quantification of the graphene topography up to ~60% of wrinkling.

No MeSH data available.


Related in: MedlinePlus