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Eye-Readable and Wearable Colorimetric Sensor Arrays for In Situ Monitoring of Volatile Organic Compounds
Zhiheng You1,2, Mingming Zhao1,2, Huizi Lu1,2
1School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, PR China.
ACS Applied Materials & Interfaces
|April 3, 2024
Summary
This study presents wearable colorimetric sensors for detecting volatile organic compounds (VOCs) in real-time. The novel sensors effectively monitor fruit ripening by analyzing VOC emissions, offering a practical and accessible solution.
Area of Science:
- Materials Science
- Analytical Chemistry
- Biotechnology
Background:
- Colorimetric wearable sensors offer advantages like ease of use and cost-effectiveness for physiological monitoring.
- Existing sensors face limitations in detecting low concentrations of volatile organic compounds (VOCs) and are susceptible to interference.
- In situ detection of complex VOCs remains a challenge for current wearable technologies.
Purpose of the Study:
- To develop advanced wearable colorimetric sensing arrays for the in situ detection of complex VOCs.
- To overcome limitations in sensitivity and interference in current VOC detection methods.
- To demonstrate a practical application in monitoring fruit ripening through VOC analysis.
Main Methods:
- Fabrication of wearable colorimetric sensor arrays using dye/metal-organic framework (MOF) composites on nanofiber membranes.
- Integration of sensor elements within a microfluidic channel (polydimethylsiloxane - PDMS) for enhanced gas collection.
- Utilizing DenseNet classification for analyzing VOC data collected from fruit surfaces.
Main Results:
- Developed sensor arrays capable of specific recognition of multiple characteristic VOCs, including ethylene.
- Demonstrated successful in situ monitoring of VOC emissions from fruit surfaces.
- Validated the wearable sensing system's feasibility for tracking fruit ripening stages.
Conclusions:
- The developed wearable colorimetric sensor arrays show significant promise for in situ detection of complex VOCs.
- This technology offers a cost-effective and user-friendly approach for real-time monitoring applications.
- The system provides a proof of concept for non-invasive monitoring of biological processes like fruit ripening.

