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Writing Bragg Gratings in Multicore Fibers
Published on: April 20, 2016
High selectivity Boolean olfaction using hollow-core wavelength-scalable Bragg fibers.
Mecit Yaman1, Adem Yildirim, Mehmet Kanik
1UNAM-National Nanotechnology Research Center, Bilkent University, 06800 Ankara, Turkey.
Analytical Chemistry
|November 30, 2011
Summary
A novel optofluidic sensor array uses infrared absorption for selective odorant detection. Its selectivity exponentially increases with array size, enabling widespread electronic nose applications.
Area of Science:
- Optofluidics
- Spectroscopy
- Chemical Sensing
Background:
- Volatile organic compounds (VOCs) detection is crucial for environmental and health monitoring.
- Existing methods often lack the required selectivity and sensitivity for complex mixtures.
- Optofluidic systems offer miniaturization and enhanced optical performance for chemical sensing.
Purpose of the Study:
- To introduce and evaluate a new odorant detection scheme based on infrared absorption within an optofluidic channel array.
- To investigate the selectivity of this scheme for identifying various volatile organic molecules.
- To demonstrate the potential for developing advanced electronic noses.
Main Methods:
- Utilizing hollow core Bragg fibers as sensor units within an optofluidic channel array.
- Employing infrared (IR) absorption spectroscopy to detect the presence of molecules.
- Designing fibers for sensitivity to specific chemical bonds and environments.
- Using computer simulations to quantitatively assess system selectivity.
Main Results:
- The sensor array selectively guides continuum radiation, with signal quenching indicating molecular presence.
- Each fiber exhibits broad sensitivity due to IR absorbance spectra, while the array enables selective binary sampling.
- Simulations show selectivity increases exponentially with the number of fibers in the array.
- The system can differentiate hundreds of molecules based on their IR fingerprints.
Conclusions:
- The proposed optofluidic sensor array demonstrates high selectivity for odorant detection.
- Simple binary data analysis combined with high selectivity facilitates practical applications.
- This technology holds promise for ubiquitous electronic noses in diverse fields like environmental monitoring and medical diagnostics.
