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Updated: Jun 22, 2026
08:12
Synthesis and Operation of Fluorescent-core Microcavities for Refractometric Sensing
Published on: March 13, 2013
Design, implementation, and field testing of a portable fluorescence-based vapor sensor
Matthew J Aernecke1, Jian Guo, Sameer Sonkusale
1Department of Chemistry, Tufts University, 62 Talbot Avenue, Medford, Massachusetts 02155, USA.
Analytical Chemistry
|July 1, 2009
Summary
A portable fluorescence vapor sensing system accurately identifies petroleum distillates. This compact device uses microsensor arrays and a support vector machine (SVM) algorithm for reliable field detection of chemical vapors.
Area of Science:
- Analytical Chemistry
- Sensor Technology
Background:
- Development of portable analytical devices is crucial for field-based chemical detection.
- Microsensor array technology offers potential for sensitive and selective vapor analysis.
Purpose of the Study:
- To design and implement a portable, low-power fluorescence-based vapor sensing system.
- To evaluate the system's capability in discriminating petroleum distillates under various conditions.
Main Methods:
- Integration of microsensor array technology into a compact device.
- Utilizing differential sensor responses and a support vector machine (SVM) algorithm for pattern recognition.
- Characterization through three sensing scenarios with varying vapor concentrations and compositions.
Main Results:
- Successful discrimination between three classes of petroleum distillates.
- High classification accuracy demonstrated in field tests.
- Improved accuracy under variable ambient conditions by enhancing signal-to-noise ratio.
Conclusions:
- The portable fluorescence-based vapor sensing system is effective for field deployment.
- The system shows robust performance in identifying chemical vapors, even with complex sample matrices.
- The SVM algorithm enables reliable classification of petroleum distillates with high accuracy.
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