Simionesie, Dorin, O’Callaghan, Gregory, Manning, Joseph R. H., Düren, Tina, Preece, Jon A., Evans, Robert and Zhang, Zhenyu J. (2023). Combined Experimental and Computational Study of Polycyclic Aromatic Compound Aggregation: The Impact of Solvent Composition. Polycyclic Aromatic Compounds, 43 (4), pp. 3790-3809.
Abstract
The aggregation of polycyclic aromatic compound (PAC) molecules is sensitive to the solvent they are dissolved or suspended in. By using both dynamic light scattering and diffusion-ordered nuclear magnetic resonance spectroscopy, in combination with molecular dynamics simulations, the effect of chemical structure on the aggregation of PACs in both aromatic and alkane solvents were systematically investigated. A suite of triphenylene-based PACs offers a robust platform to understand the driving forces of aggregation mechanism across both nanometer and micrometer scales. Both the configuration, either parallel or otherwise, and the arrangement, whether compact or loose, of molecules in their aggregates are determined by a fine balance of different interactions such as those between the polar groups, π–π interactions between the aromatic cores, steric hindrance induced by the side chains, and the degree of solvation. These results suggest that molecular architecture is the major factor in determining how the model compounds aggregate. The shift from aromatic to aliphatic solvent only slightly increases the likelihood of aggregation for the model compounds studied while subtle differences in molecular architecture can have a significant impact on the aggregation characteristics.
Publication DOI: | https://doi.org/10.1080/10406638.2022.2077777 |
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Divisions: | College of Engineering & Physical Sciences > Aston Institute of Materials Research (AIMR) College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Chemical Engineering & Applied Chemistry College of Engineering & Physical Sciences > Aston Advanced Materials |
Funding Information: | This work was funded by the Engineering and Physical Science Research Council under Grant EP/P007864/1. The diffusion NMR experiments were funded by the RSC Research Fund under Grant RF17-3528. |
Additional Information: | Copyright © 2022 The Author(s). Published with license by Taylor and Francis Group, LLC. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Funding: This work was funded by the Engineering and Physical Science Research Council under Grant EP/P007864/1. The diffusion NMR experiments were funded by the RSC Research Fund under Grant RF17-3528. |
Uncontrolled Keywords: | Aggregation,DLS,diffusion NMR,molecular dynamics,Materials Chemistry,Polymers and Plastics,Organic Chemistry |
Publication ISSN: | 1563-5333 |
Last Modified: | 06 Aug 2024 09:28 |
Date Deposited: | 06 Jun 2022 09:38 |
Full Text Link: | |
Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) https://www.tan ... 38.2022.2077777 (Publisher URL) |
PURE Output Type: | Article |
Published Date: | 2023 |
Published Online Date: | 2022-05-23 |
Accepted Date: | 2022-05-06 |
Authors: |
Simionesie, Dorin
O’Callaghan, Gregory Manning, Joseph R. H. Düren, Tina Preece, Jon A. Evans, Robert ( ![]() Zhang, Zhenyu J. |