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Enhanced Colorimetric Detection of Volatile Organic Compounds Using a Dye-Incorporated Photonic Crystal-Based Sensor
So Hee Nah1, Jong Bin Kim1, Hiu Ning Tiffany Chui1
1Department of Materials Science and Engineering, University of Pennsylvania, 3231 Walnut Street, Philadelphia, PA, 19104, USA.
Advanced Materials (Deerfield Beach, Fla.)
|September 10, 2024
Summary
Highly sensitive colorimetric sensor arrays using dye-incorporated colloidal photonic crystals (dye-cPhCs) can detect volatile organic compounds (VOCs). These arrays offer distinct visual pattern recognition for disease-specific VOCs.
Area of Science:
- Materials Science
- Nanotechnology
- Chemical Sensing
Background:
- Volatile organic compounds (VOCs) are biomarkers for various diseases.
- Colorimetric sensing offers facile recognition of VOCs, but visual discernment of color changes can be challenging.
- Existing methods often require data amplification for accurate VOC detection.
Purpose of the Study:
- To develop highly sensitive colorimetric sensor arrays for VOC detection.
- To enhance the visual discernibility of color changes upon VOC exposure.
- To enable facile and intuitive VOC identification through pattern recognition.
Main Methods:
- Fabrication of dye-incorporated colloidal photonic crystals (dye-cPhCs) on a wafer scale using spin-coating of silica nanoparticles in a photo-cross-linkable monomer.
- Utilizing gradient shear flow to create densely-packed nanoparticle arrays.
- Leveraging the overlap between the photonic bandgap edge and dye absorption peak for augmented dye absorption.
Main Results:
- The sensor array generates distinct color difference maps for acetaldehyde, acetone, and acetic acid without data amplification.
- Achieved limits of detection of 1 ppm for acetaldehyde, 0.1 ppm for acetone, and 0.02 ppm for acetic acid.
- Demonstrated VOC diagonalization through visually intuitive pattern recognition and principal component analysis.
Conclusions:
- Dye-cPhCs provide a sensitive and visually interpretable platform for colorimetric VOC sensing.
- The developed sensor arrays offer a promising approach for non-invasive disease diagnostics through VOC detection.
- The method allows for direct visual pattern recognition, simplifying VOC analysis.

