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3D-Printed Optical Volatile Organic Compound Sensors Based on Donor-Substituted Coumarin Thermally Activated Delayed
Sara Paniziutti1,2, Maria Vittoria Piras1, Annalisa Chiappone1
1Dipartimento di Scienze Chimiche e Geologiche Università degli Studi di Cagliari, Complesso Universitario di Monserrato Monserrato Cagliari Italy.
Researchers developed new 3D-printable optical sensors for detecting volatile organic compounds (VOCs). These sensors use advanced fluorescent materials to provide reliable and sensitive detection of harmful VOCs in the environment.
Area of Science:
- Materials Science
- Chemical Sensing
- Optoelectronics
Background:
- Volatile organic compounds (VOCs) present significant environmental and health risks.
- Development of responsive and manufacturable solid-state optical sensing materials is crucial.
- Existing sensing technologies may lack sensitivity, reusability, or cost-effectiveness.
Purpose of the Study:
- To introduce a novel class of donor-substituted coumarin emitters for solid-state optical sensing.
- To integrate these emitters into photocurable acrylate resins for 3D printing.
- To demonstrate the fabrication and performance of 3D-printed VOC sensors.
Main Methods:
- Synthesis of novel donor-substituted coumarin thermally activated delayed fluorescent (TADF) emitters.
- Incorporation of TADF emitters into photocurable acrylate resins.
- 3D printing of sensing architectures and characterization of their optical responses to VOCs.
Main Results:
- The developed materials exhibit strong solid-state photoluminescence.
- 3D-printed sensors show reproducible, intensity-based optical responses to various VOC vapors.
- The sensor performance is analyte-dependent, confirming sensing capability.
Conclusions:
- Tailored emitter design and 3D printing enable the creation of versatile VOC-responsive optical materials.
- This approach offers a promising pathway for fabricating advanced, cost-effective VOC sensors.
- The developed materials hold potential for environmental monitoring and health hazard detection.
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