Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • JSAP-OSA Joint Symposia 2016 Abstracts
  • (Optica Publishing Group, 2016),
  • paper 14p_C301_5

DNA Sensing Based on Gold Nanoparticles and Silicon Nanopores

Not Accessible

Your library or personal account may give you access

Abstract

A robust method to distinguish isolated single gold nanoparticles (AuNP monomers) and their dimers under Brownian motion is described as a key technique for ultrasensitive homogeneous bioassays, including AuNP sandwich assays. To detect dimers and distinguish them from a larger number of monomers in aqueous solution, single-particle polarization microscopy was performed. For the accurate detection of individual particles, the optical anisotropy and rotational diffusion time are measured because a dimer is much more anisotropic than the nearly spherical monomer and the rotational diffusion time of a dimer is four times that of a monomer. By employing an autocorrelation analysis, we defined a measure of distinguishing that simultaneously enables high detection probability and low error probability. The detection platform offers homogeneous DNA hybridization assays and immunoassays at the subpicomolar level.

© 2016 Japan Society of Applied Physics, Optical Society of America

PDF Article
More Like This
Quantitative Detection of Target ssDNA by Digitally Counting Gold Nanoparticle Dimers

Takaha Mizuguchi, Keiko Esashika, and Toshiharu Saiki
30aON5 Optics and Photonics Japan (OPJ) 2017

Optical Observation of DNA Translocation Dynamics through Solid-State Nanopores

Hirohito Yamazaki, Shintaro Itoh, Keiko Esashika, and Toshiharu Saiki
27F1_1 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2015

Aptamer and DNA hybridization assays on gold fiber optic sensors with nanoparticle signal enhancement

F. Delport, K. Knez, K. Janssen, I. Arghir, N. Marien, D.T. Tran, D. Spasic, S. Vermeir, and J. Lammertyn
JTu1C.2 Bragg Gratings, Photosensitivity, and Poling in Glass Waveguides (BGPP) 2014

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.