Improved photon absorption in dye-functionalized silicon nanocrystals synthesized via microwave-assisted hydrosilylation.


Journal

Dalton transactions (Cambridge, England : 2003)
ISSN: 1477-9234
Titre abrégé: Dalton Trans
Pays: England
ID NLM: 101176026

Informations de publication

Date de publication:
21 Feb 2020
Historique:
pubmed: 6 2 2020
medline: 6 2 2020
entrez: 5 2 2020
Statut: ppublish

Résumé

Herein, we report a method to produce luminescent silicon nanocrystals (SiNc) that strongly absorb ultraviolet-visible light (300-550 nm) and emit in the near-infrared range (700-1000 nm) with a high photoluminescence quantum yield (PLQY). Using microwave-assisted hydrosilylation and employing reactive chromophores - such as ethenyl perylene, ethynyl perylene and ethylene-m-phenyl BODIPY - we are able to achieve a 10- and 3-fold enhancement of the absorption in the blue and green spectral range, respectively. The investigated dyes function both as passivating agents and highly efficient antenna, which absorb visible light and transfer the energy to SiNc with an efficiency of >95%. This enhanced absorption leads to a significant photoluminescence enhancement, up to ∼270% and ∼140% under excitation with blue and green light, respectively. Despite the gain in absolute brightness of the emission, we demonstrate that back energy transfer from the SiNc to the dyes leads to a decrease in the PLQY for dye-modified SiNc, as compared to unmodified SiNc. The synthesis of the SiNc-dye conjugates opens up new possibilities for applications of this abundant and non-toxic material in the field of solar energy harvesting, optical sensing and bioimaging via achieving strong NIR PL excited with visible light.

Identifiants

pubmed: 32016196
doi: 10.1039/c9dt04497c
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2290-2299

Auteurs

Deski Beri (D)

Institute of Microstructure Technology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany. andrey.turshatov@kit.edu bryce.richards@kit.edu.

Classifications MeSH