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Related Experiment Video

Updated: Jul 9, 2025

Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons

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An Odor Trace Visualization System Using a Two-Dimensional Backside Scattering Localized Surface Plasmon Resonance

Zhongyuan Yang¹, Fumihiro Sassa¹, Kenshi Hayashi¹

¹Graduate School and Faculty of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan.

Sensors (Basel, Switzerland)

|December 9, 2023

Summary

This summary is machine-generated.

This study presents a new 2D imaging system for visualizing odor traces using localized surface plasmon resonance (LSPR). The system effectively distinguishes odor signals from environmental noise, offering intuitive spatiotemporal odor mapping.

Keywords:

chemical imaging gas sensor localized surface plasmon resonance odor trace visualization spatial distribution

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Area of Science:

Analytical Chemistry
Optics
Materials Science

Background:

Odor sensing is crucial but challenging due to difficulties in capturing spatiotemporal distribution.
Localized surface plasmon resonance (LSPR) offers high sensitivity and rapid response/recovery for chemical sensing.
LSPR converts chemical odor information into optical signals detectable by cameras, showing potential for 2D visualization.

Purpose of the Study:

To develop and evaluate a 2D imaging system for visualizing odor traces using LSPR.
To demonstrate the system's capability in distinguishing odor signals from environmental disturbances.
To establish a method for optimizing odor trace capture in indoor environments.

Main Methods:

Development of a 2D imaging system utilizing backside scattering from an LSPR substrate.
Comparative experiments to differentiate odor traces from environmental noise using differential imaging.
Implementation of a method to determine optimal image capture times based on differential image changes.

Main Results:

The developed LSPR system successfully visualized odor traces with distinct spatiotemporal distributions.
Differential imaging effectively distinguished odor traces from environmental disturbances.
Changes in image intensity correlated with the presence and location of odor traces.

Conclusions:

The LSPR-based 2D imaging system provides an intuitive method for odor trace visualization.
The system demonstrates potential for accurate odor mapping and distinguishing signals from noise.
The proposed method for optimal capture time aids in collecting spatial information of unknown odor traces.