Diversity at the nanoscale : laser-oxidation of single-layer graphene affects Fmoc-phenylalanine surface-mediated self-assembly
Schirmer, J., Chevigny, R., Emelianov, A., Hulkko, E., Johansson, A., Myllyperkiö, P., Sitsanidis, E. D., Nissinen, M., & Pettersson, M. (2023). Diversity at the nanoscale : laser-oxidation of single-layer graphene affects Fmoc-phenylalanine surface-mediated self-assembly. Physical Chemistry Chemical Physics, 25(12), 8725-8733. https://doi.org/10.1039/D3CP00117B
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Physical Chemistry Chemical PhysicsAuthors
Date
2023Discipline
Nanoscience CenterOrgaaninen kemiaFysikaalinen kemiaNanoscience CenterOrganic ChemistryPhysical ChemistryCopyright
© Authors 2023
We report the effects of a laser-oxidized single layer graphene (SLG) surface on the self-assembly of amphiphilic gelator N-fluorenylmethoxycarbonyl-L-phenylalanine (Fmoc-Phe) towards an gel–SLG interface. Laser oxidation modulates the levels of hydrophobicity/hydrophilicity on the SLG surface. Atomic force, scanning electron, helium ion and scattering scanning nearfield optical microscopies (AFM, SEM, HIM, s-SNOM) were employed to assess the effects of surface properties on the secondary and tertiary organization of the formed Fmoc-Phe fibres at the SLG–gel interface. S-SNOM shows sheet-like secondary structures on both hydrophobic/hydrophilic areas of SLG and helical or disordered structures mainly on the hydrophilic oxidized surface. The gel network heterogeneity on pristine graphene was observed at the scale of single fibres by s-SNOM, demonstrating its power as a unique tool to study supramolecular assemblies and interfaces at nanoscale. Our findings underline the sensitivity of assembled structures to surface properties, while our characterization approach is a step forward in assessing surface–gel interfaces for the development of bionic devices.
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Royal Society of Chemistry (RSC)ISSN Search the Publication Forum
1463-9076Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/182330915
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Research infrastructures, AoFAdditional information about funding
The authors would like to acknowledge Jane and Aatos Erkko Foundation, the Academy of Finland (decision no. 327733) and grants of computer capacity from the Finnish Grid and Cloud Infrastructure (persistent identifier urn:nbn:fi:research-infras-2016072533) for supporting the current work. The authors acknowledge Olli Rissanen for synthesising the graphene samples. J. S. would like to thank Lars Gell for his support with the DFT calculations. ...License
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