2016
DOI: 10.1039/c5cp05410a
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Purcell factor based understanding of enhancements in surface plasmon-coupled emission with DNA architectures

Abstract: We demonstrate the successful application of DNA thin films as dynamic bio-spacers in a surface plasmon-coupled emission platform. Site-directed DNA modification using silver and carbon nanomaterials resulted in an amplified Purcell factor (PF) and >130-fold fluorescence enhancements. We present unique architectures of DNA as a plasmonic spacer in metal-dielectric-metal substrates.

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Cited by 24 publications
(8 citation statements)
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“…In line with the earlier reports that elucidate the utility of FDTD simulations in understanding fluorescence enhancements from cermet nanocavities, Purcell-enhanced emission from metal–DNA hybrid architectures, we have successfully comprehended the plasmonic response from SCs on a silver thin film using FDTD. Earlier reports have systematically deduced the effect of the cavity regions on the PF adopting cubic and spherical NPs .…”
Section: Resultssupporting
confidence: 69%
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“…In line with the earlier reports that elucidate the utility of FDTD simulations in understanding fluorescence enhancements from cermet nanocavities, Purcell-enhanced emission from metal–DNA hybrid architectures, we have successfully comprehended the plasmonic response from SCs on a silver thin film using FDTD. Earlier reports have systematically deduced the effect of the cavity regions on the PF adopting cubic and spherical NPs .…”
Section: Resultssupporting
confidence: 69%
“…In the current study, the TEM and SEM images showcase such anisotropic clustering of AgNPs to yield multifaceted SCs, making them ideal candidates for study using the SPCE platform. Although there are several templated nanomaterials used in cavity architecture depicting their plasmonic response, the PF as an experimental metric for understanding SPCE enhancements has to date been reported only for intermetallics . In this scenario, understanding and comparing theoretical conclusions drawn using FDTD simulations with the results documented in the previous sections will provide for better insight.…”
Section: Resultsmentioning
confidence: 97%
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