All-carbon supramolecular complexation of a bilayer molecular nanographene with [60] and [70]fullerenes

Supramolecular chemistry of carbon-based materials provides a variety of chemical structures with potential applications in materials science and biomedicine. Here, we explore the supramolecular complexation of fullerenes C<sub>60</sub> and C<sub>70</sub>, highlighting the ability of molecular nanographene tweezers to capture these structures. The binding constant for the CNG-1⊃C<sub>70</sub> complex was significantly higher than for CNG-1⊃C<sub>60</sub>, showing a clear selectivity for the more π-extended C<sub>70</sub>. DFT calculations confirmed these experimental results by showing that the interaction energy of C<sub>70</sub> with CNG-1 is more than 5 kcal mol<sup>-1</sup> higher than that of C<sub>60</sub>. Theoretical calculations predict that the dispersion interaction provides about 58-59% of the total interaction energy, followed by electrostatic attraction with 26% and orbital interactions, which contribute 15-16%. The racemic nanographene tweezers effectively recognize fullerene molecules and hold promise for future applications in chiral molecule recognition.

Authors

Institutions

Publication Details

Journal
Organic Chemistry Frontiers
Published
2024-12-24
DOI
https://doi.org/10.1039/d4qo02071e
Citations
5
Primary Topic
Fullerene Chemistry and Applications
Type
article
Field-Weighted Citation Impact
1.25

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

All-carbon supramolecular complexation of a bilayer molecular nanographene with [60] and [70]fullerenes

Manuel Buendía, Miquel Solà, Salvatore Filippone, Nazario Martı́n et al.
5 citations
Organic Chemistry Frontiers
Fullerene Chemistry and Applications
1.25
article

All-carbon supramolecular complexation of a bilayer molecular nanographene with [60] and [70]fullerenes

Manuel Buendía, Miquel Solà, Salvatore Filippone, Nazario Martı́n, Anton J. Stasyuk
article en
5 citations

Abstract

Supramolecular chemistry of carbon-based materials provides a variety of chemical structures with potential applications in materials science and biomedicine. Here, we explore the supramolecular complexation of fullerenes C<sub>60</sub> and C<sub>70</sub>, highlighting the ability of molecular nanographene tweezers to capture these structures. The binding constant for the CNG-1⊃C<sub>70</sub> complex was significantly higher than for CNG-1⊃C<sub>60</sub>, showing a clear selectivity for the more π-extended C<sub>70</sub>. DFT calculations confirmed these experimental results by showing that the interaction energy of C<sub>70</sub> with CNG-1 is more than 5 kcal mol<sup>-1</sup> higher than that of C<sub>60</sub>. Theoretical calculations predict that the dispersion interaction provides about 58-59% of the total interaction energy, followed by electrostatic attraction with 26% and orbital interactions, which contribute 15-16%. The racemic nanographene tweezers effectively recognize fullerene molecules and hold promise for future applications in chiral molecule recognition.

Organic Chemistry FrontiersVol. 12(5)
Madrid Institute for Advanced Studies (ES), Universidad Complutense de Madrid (ES), Universitat de Girona (ES), Universitat de Barcelona (ES)
Comunidad de Madrid, Ministerio de Ciencia, Innovación y Universidades, European Commission, Generalitat de Catalunya, Infrastruktura PL-Grid, Agencia Estatal de Investigación, Academic Computer Centre Cyfronet, AGH University of Science and Technology, H2020 European Research Council
Openalex Percentile: Top 22%
Fullerene Chemistry and Applications
1.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.