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A Filter-based Surface Enhanced Raman Spectroscopic Assay for Rapid Detection of Chemical Contaminants

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Selective Detection of Sulfur Derivatives Using Microfabricated Tuning Fork-Based Sensors.

Anant Rai¹, Francis Tsow, Sanam Nassirpour

¹The Biodesign Institute and Department of Electrical Engineering, Arizona State University, Tempe, AZ 85287-5801.

Sensors and Actuators. B, Chemical

|February 18, 2010

Summary

This study presents an integrated sensor system for selective sulfur derivative detection. The novel system uses specialized materials and quartz tuning forks for accurate, low-cost signal transduction.

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Area of Science:

Chemical Sensing
Materials Science
Analytical Chemistry

Background:

Sulfur derivatives pose challenges for selective detection due to interfering molecules.
Existing sensor technologies may lack selectivity, speed, or cost-effectiveness.

Purpose of the Study:

To develop an integrated sensor system for selective and reversible detection of sulfur derivatives.
To demonstrate the system's efficacy in the presence of interferent molecules.
To utilize microfabricated quartz tuning fork arrays for signal transduction.

Main Methods:

Integration of analyte-specific sensing materials with optimized filter materials.
Employment of microfabricated quartz tuning fork arrays for transduction.
Demonstration using dimethyl disulfide, ethanethiol, and methylsulfide as target analytes.

Main Results:

The integrated system achieved selective and reversible detection of sulfur derivatives.
The quartz tuning fork arrays provided fast, accurate, and low-cost signal transduction.
Successful detection of dimethyl disulfide, ethanethiol, and methylsulfide was demonstrated.

Conclusions:

The developed integrated sensor system offers a promising approach for selective sulfur derivative detection.
The combination of specific materials and quartz tuning fork technology enables efficient sensing.
This technology has potential applications in environmental monitoring and industrial safety.