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Predictive model for optimizing the near-field electromagnetic energy transfer in plasmonic nanostructure-involved photocatalysts

Paper ID Volume ID Publish Year Pages File Format Full-Text
44838 46367 2016 8 PDF Available
Title
Predictive model for optimizing the near-field electromagnetic energy transfer in plasmonic nanostructure-involved photocatalysts
Abstract

•A unique ternary model system is fabricated successfully.•The SPR effects of plasmonic nanostructure are optimized via the dual modulation.•The predictive model shows a tremendous SPR-mediated enhancement of photoactivity.

Förster resonant energy transfer (FRET) is critical hindrance for improving the solar-energy-conversion efficiency via the near-field electromagnetic energy transfer (NEET) mechanism in the plasmonic nanostructure-involved photocatalysts. Herein, a plasmonic nanoparticle/graphene/semiconductor ternary model system is fabricated successfully. In this fabrication, the thin graphene (RGO) layer covers completely the semiconductor with different facets exposed, and the plasmonic nanoparticles are separated from the semiconductor in a proper distance. This unique architecture raises a new opportunity to optimize surface plasmon resonance (SPR) effect in plasmonic nanostructure-involved photocatalysts by the dual modulation of interfacial layer’s thickness and fluorescent frequency, resulting a tremendous improvement in the rates of photocatalytic reactions. Furthermore, this predictive model provides a new idea for the design of high-efficient photocatalysts and may upper limits of SPR-mediated enhancement of photocatalytic performance for plasmonic nanostructure-involved photocatalysts.

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Keywords
Au/graphene/BiVO4; Förster resonant energy transfer; Near-field electromagnetic energy transfer; Photocatalysis; SPR
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Predictive model for optimizing the near-field electromagnetic energy transfer in plasmonic nanostructure-involved photocatalysts
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Publisher
Database: Elsevier - ScienceDirect
Journal: Applied Catalysis B: Environmental - Volume 186, 5 June 2016, Pages 143–150
Authors
, , , , , , , ,
Subjects
Physical Sciences and Engineering Chemical Engineering Catalysis
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us