ArticleACS omega2020
Photoluminescence from Carbon Dot-Gold Nanoparticle Composites Enhanced by Photonic and Plasmonic Double-Resonant Effects.
Article in ACS omega, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Green synthesis and multifaceted applications: challenges and innovations in carbon dot nanocomposites.Discover nano · 2024Review
- Review
- Red Emission Carbon Dots Prepared by 1,4-Diaminonaphthalene for Light-Emitting Diode Application and Metal Ion Detection.Materials (Basel, Switzerland) · 2021Article
- Photoluminescence from Carbon Dot-Gold Nanoparticle Composites Enhanced by Photonic and Plasmonic Double-Resonant Effects.ACS omega · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Carbon dots (CDs) exhibit chemical stability and low toxicity, so they are promising for biomedical and imaging applications. The quantum yield of the photoluminescence is typically 10-20%, which limits practical applications. We fabricate carbon dot-gold nanoparticle photonic crystals (CD-GNP PCs) and demonstrate enhanced photoluminescence intensity from the carbon dots using the photonic and plasmonic double-resonant effects. A severalfold enhancement was obtained compared to the neat CD. The method developed in this study provides a universal scheme to enhance light-emitting materials, which is promising for the development of ultrahigh molecular sensing and bioimaging techniques.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.