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Conformational Contrast of Surface-Mediated Molecular Switches Yields Ångstrom-Scale Spatial Resolution in Ultrahigh Vacuum Tip-Enhanced Raman Spectroscopy.
Chiang, Naihao; Chen, Xing; Goubert, Guillaume; Chulhai, Dhabih V; Chen, Xu; Pozzi, Eric A; Jiang, Nan; Hersam, Mark C; Seideman, Tamar; Jensen, Lasse; Van Duyne, Richard P.
Afiliação
  • Chen X; Department of Chemistry, The Pennsylvania State University , University Park, Pennsylvania 16802, United States.
  • Chulhai DV; Department of Chemistry, The Pennsylvania State University , University Park, Pennsylvania 16802, United States.
  • Jiang N; Department of Chemistry, University of Illinois at Chicago , Chicago, Illinois 60607, United States.
  • Jensen L; Department of Chemistry, The Pennsylvania State University , University Park, Pennsylvania 16802, United States.
Nano Lett ; 16(12): 7774-7778, 2016 12 14.
Article em En | MEDLINE | ID: mdl-27797525
ABSTRACT
Tip-enhanced Raman spectroscopy (TERS) combines the ability of scanning probe microscopy (SPM) to resolve atomic-scale surface features with the single-molecule chemical sensitivity of surface-enhanced Raman spectroscopy (SERS). Here, we report additional insights into the nature of the conformational dynamics of a free-base porphyrin at room temperature adsorbed on a metal surface. We have interrogated the conformational switch between two metastable surface-mediated isomers of meso-tetrakis(3,5-ditertiarybutylphenyl)-porphyrin (H2TBPP) on a Cu(111) surface. At room temperature, the barrier between the porphyrin ring buckled up/down conformations of the H2TBPP-Cu(111) system is easily overcome, and a 2.6 Å lateral resolution by simultaneous TERS and STM analysis is achieved under ultrahigh vacuum (UHV) conditions. This work demonstrates the first UHV-TERS on Cu(111) and shows TERS can unambiguously distinguish the conformational differences between neighboring molecules with Ångstrom-scale spatial resolution, thereby establishing it as a leading method for the study of metal-adsorbate interactions.
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Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article
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Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article