Modelling quenching mechanisms of disordered molecular systems in the presence of molecular aggregates.


Journal

Physical chemistry chemical physics : PCCP
ISSN: 1463-9084
Titre abrégé: Phys Chem Chem Phys
Pays: England
ID NLM: 100888160

Informations de publication

Date de publication:
19 Jan 2022
Historique:
pubmed: 6 1 2022
medline: 6 1 2022
entrez: 5 1 2022
Statut: epublish

Résumé

Exciton density dynamics recorded in time-resolved spectroscopic measurements is a useful tool to recover information on energy transfer (ET) processes that can occur at different timescales, up to the ultrafast regime. Macroscopic models of exciton density decays, involving both direct Förster-like ET and diffusion mechanisms for exciton-exciton annihilation, are largely used to fit time-resolved experimental data but generally neglect contributions from molecular aggregates that can work as quenching species. In this work, we introduce a macroscopic model that includes contributions from molecular aggregate quenchers in a disordered molecular system. As an exemplifying case, we considered a homogenous distribution of rhodamine B dyes embedded in organic nanoparticles to set the initial parameters of the proposed model. The influence of such model parameters is systematically analysed, showing that the presence of molecular aggregate quenchers can be monitored by evaluating the exciton density long time decays. We showed that the proposed model can be applied to molecular systems with ultrafast decays, and we anticipated that it could be used in future studies for global fitting of experimental data with potential support from first-principles simulations.

Identifiants

pubmed: 34985481
doi: 10.1039/d1cp04260b
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1787-1794

Auteurs

Giacomo Fanciullo (G)

Dipartimento di Chimica Industriale "Toso Montanari", ALMA MATER STUDIORUM, Università di Bologna, Viale del Risorgimento 4, 40126 Bologna, Italy. i.rivalta@unibo.it.

Irene Conti (I)

Dipartimento di Chimica Industriale "Toso Montanari", ALMA MATER STUDIORUM, Università di Bologna, Viale del Risorgimento 4, 40126 Bologna, Italy. i.rivalta@unibo.it.

Pascal Didier (P)

Laboratoire de Bioimagerie et Pathologies, UMR 7021 CNRS, Université de Strasbourg, 74 Route du Rhin, 67401 Illkirch, France.

Andrey Klymchenko (A)

Laboratoire de Bioimagerie et Pathologies, UMR 7021 CNRS, Université de Strasbourg, 74 Route du Rhin, 67401 Illkirch, France.

Jérémie Léonard (J)

Université de Strasbourg, CNRS, Institut de Physique et Chimie des Matériaux de Strasbourg, UMR 7504, F-67000 Strasbourg, France.

Marco Garavelli (M)

Dipartimento di Chimica Industriale "Toso Montanari", ALMA MATER STUDIORUM, Università di Bologna, Viale del Risorgimento 4, 40126 Bologna, Italy. i.rivalta@unibo.it.

Ivan Rivalta (I)

Dipartimento di Chimica Industriale "Toso Montanari", ALMA MATER STUDIORUM, Università di Bologna, Viale del Risorgimento 4, 40126 Bologna, Italy. i.rivalta@unibo.it.
Université de Lyon, École Normale Supérieure de Lyon, Université Lyon 1, CNRS UMR 5182, Laboratoire de Chimie, 46 Allée d'Italie, F69364 Lyon, France.

Classifications MeSH