NDLI: Highly reproducible and sensitive surface-enhanced Raman scattering from colloidal plasmonic nanoparticle via stabilization of hot spots in graphene oxide liquid crystal.

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Highly reproducible and sensitive surface-enhanced Raman scattering from colloidal plasmonic nanoparticle via stabilization of hot spots in graphene oxide liquid crystal.

Content Provider	Semantic Scholar
Author	Saha, Arindam Palmal, Sharbari Jana, Nikhil R.
Copyright Year	2012
Abstract	Although it is now well recognized that plasmonic gold/silver nanoparticle based aggregates having electromagnetic hot spots are responsible for high sensitivity in surface-enhanced Raman spectroscopy (SERS), the high yield and reproducible production of such nanostructures are challenging and limit their practical application. Here we show a graphene oxide (GO) based approach in generating stable electromagnetic hot spots with high yield from colloidal plasmonic nanoparticles that leads to highly reproducible, stable and sensitive SERS for a wide range of molecules with Raman enhancement factors between 10(8) to 10(11). The liquid crystalline property of dispersed GO directs the Raman probe induced controlled aggregation of plasmonic particles, restricting those aggregates to small and discrete clusters and stabilizing those clusters for longer times-offering the Raman probe induced 'turn on' SERS with high sensitivity and reproducibility. The presented approach is broadly applicable to different types of colloidal plasmonic particles and a wide range of Raman probes and is ideal for SERS based reliable detection of analyte at ultralow concentration.
Starting Page	1143
Ending Page	1145
Page Count	3
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.rsc.org/suppdata/nr/c2/c2nr31035j/c2nr31035j.pdf
PubMed reference number	22992658v1
Volume Number	4
Issue Number	20
Journal	Nanoscale
Language	English
Access Restriction	Open
Subject Keyword	Artificial nanoparticles Exanthema Graphene Liquid Crystals Nanostructured Materials Particle Silver Spectroscopy, Near-Infrared analyte
Content Type	Text
Resource Type	Article

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