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Related Experiment Video

Updated: May 26, 2026

Performing Spectroscopy on Plasmonic Nanoparticles with Transmission-Based Nomarski-Type Differential Interference Contrast Microscopy

Performing Spectroscopy on Plasmonic Nanoparticles with Transmission-Based Nomarski-Type Differential Interference Contrast Microscopy

Published on: June 5, 2019

Nanoscale plasmonic interferometers for multispectral, high-throughput biochemical sensing.

Jing Feng¹, Vince S Siu, Alec Roelke

¹School of Engineering, Brown University, Providence, Rhode Island 02912, USA.

|December 28, 2011

Summary

We developed novel nanoscale plasmonic interferometers for highly sensitive biochemical sensing. These sensors can detect glucose at physiological concentrations with remarkable precision and minimal sample volume.

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Last Updated: May 26, 2026

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Published on: June 5, 2019

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Published on: March 21, 2025

Area of Science:

Nanotechnology
Biomedical Engineering
Optics

Background:

Plasmonic sensors offer high sensitivity for detecting analytes.
Miniaturization and integration are key for advanced biosensing platforms.
Developing sensors for real-time, high-throughput analysis is crucial.

Purpose of the Study:

To design and fabricate novel planar plasmonic interferometers.
To demonstrate their capability for detecting physiological glucose concentrations.
To evaluate the sensitivity, resolution, and performance of these sensors.

Main Methods:

Fabrication of nanoscale grooves and slits in metal films to create plasmonic interferometers.
Integration of thousands of interferometers per square millimeter with a microfluidic system.
Characterization of sensor performance using a broad wavelength range (400-800 nm).

Main Results:

Achieved wavelength sensitivity between 370-630 nm/RIU.
Measured relative intensity changes between ~10^3 and 10^6 %/RIU.
Demonstrated a refractive index resolution of ~3 × 10^-7 with sensing volumes as low as 20 fL.

Conclusions:

Multispectral plasmonic interferometry is a promising approach for biochemical sensing.
The developed sensors are suitable for high-throughput, real-time, and compact applications.
This technology enables sensitive detection of analytes like glucose at physiological levels.