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Related Experiment Video

Updated: Jan 3, 2026

Plasmonic Trapping and Release of Nanoparticles in a Monitoring Environment
09:13

Plasmonic Trapping and Release of Nanoparticles in a Monitoring Environment

Published on: April 4, 2017

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Analyte transport to micro- and nano-plasmonic structures.

N Scott Lynn1, Tomáš Špringer1, Jiří Slabý1

  • 1Institute of Photonics and Electronics of the Czech Academy of Sciences, Chaberská 1014/57, 182 51 Prague, Czech Republic. homola@ufe.cz.

Lab on a Chip
|November 20, 2019
PubMed
Summary

Analyte transport to plasmonic nanostructures in biosensors is crucial for sensing performance. This study verifies a model predicting transport rates across various nanoplasmonic architectures, crucial for biosensor design.

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Area of Science:

  • Nanotechnology
  • Biomedical Engineering
  • Physical Chemistry

Background:

  • Optical affinity biosensors utilize plasmonic nanostructures with complex architectures featuring localized high-sensitivity regions (hot spots).
  • The rate of analyte capture and overall sensing performance are highly dependent on the nanoplasmonic architecture and selective functionalization.
  • Limited research has explored how nanoplasmonic architecture variations impact analyte transport rates.

Purpose of the Study:

  • To experimentally measure and analyze analyte transport characteristics across diverse plasmonic nanostructures.
  • To validate a previously proposed analytical model for predicting analyte transport to complex nanoplasmonic architectures.
  • To investigate the influence of nanoplasmonic element composition and packing density on transport phenomena.

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Utilization of Plasmonic and Photonic Crystal Nanostructures for Enhanced Micro- and Nanoparticle Manipulation
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Related Experiment Videos

Last Updated: Jan 3, 2026

Plasmonic Trapping and Release of Nanoparticles in a Monitoring Environment
09:13

Plasmonic Trapping and Release of Nanoparticles in a Monitoring Environment

Published on: April 4, 2017

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Evaluating Plasmonic Transport in Current-carrying Silver Nanowires
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Evaluating Plasmonic Transport in Current-carrying Silver Nanowires

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Main Methods:

  • Fabrication and characterization of plasmonic structures using microwires, nanodisks, and nanorods at varying packing densities.
  • Functionalization of structures with nucleic acid bioreceptors, ensuring a Damköhler number near unity for accurate kinetic and transport parameter extraction.
  • Analysis of sensorgrams to determine association/dissociation constants and mass transfer coefficients.

Main Results:

  • Measured analyte transport rates across all tested plasmonic structures showed excellent agreement with predictions from the analytical model.
  • Despite significant differences in optical properties, transport characteristics were consistently modeled.
  • The study demonstrated the model's validity for predicting transport to complex nanoplasmonic architectures.

Conclusions:

  • Analyte transport is a critical factor, alongside optical properties, in determining the overall sensing performance of nanoplasmonic biosensors.
  • The validated analytical model provides a powerful tool for designing and optimizing nanoplasmonic biosensor architectures.
  • Understanding and controlling analyte transport is essential for advancing biosensor technology.