Single nanoparticle detection using photonic crystal enhanced microscopy

We demonstrate a label-free biosensor imaging approach that utilizes a photonic crystal (PC) surface to detect surface attachment of individual dielectric and metal nanoparticles through measurement of localized shifts in the resonant wavelength and resonant reflection magnitude from the PC. Using a...

Full description

Saved in:
Bibliographic Details
Published in:Analyst (London) 2014-03, Vol.139 (5), p.1007-1015
Main Authors: Zhuo, Yue, Hu, Huan, Chen, Weili, Lu, Meng, Tian, Limei, Yu, Hojeong, Long, Kenneth D, Chow, Edmond, King, William P, Singamaneni, Srikanth, Cunningham, Brian T
Format: Article
Language:English
Subjects:
Biosensing Techniques - methods
Biosensors
Crystallization - methods
Imaging
Microscopy - methods
Nanoparticles
Nanoparticles - analysis
Nanostructure
Photonic crystals
Photons
Polycarbonates
Reflection
Wavelengths
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We demonstrate a label-free biosensor imaging approach that utilizes a photonic crystal (PC) surface to detect surface attachment of individual dielectric and metal nanoparticles through measurement of localized shifts in the resonant wavelength and resonant reflection magnitude from the PC. Using a microscopy-based approach to scan the PC resonant reflection properties with 0.6 μm spatial resolution, we show that metal nanoparticles attached to the biosensor surface with strong absorption at the resonant wavelength induce a highly localized reduction in reflection efficiency and are able to be detected by modulation of the resonant wavelength. Experimental demonstrations of single-nanoparticle imaging are supported by finite-difference time-domain computer simulations. The ability to image surface-adsorption of individual nanoparticles offers a route to single molecule biosensing, in which the particles can be functionalized with specific recognition molecules and utilized as tags.
ISSN:0003-2654
1364-5528
DOI:10.1039/c3an02295a