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A Phototautomeric 3D Covalent Organic Framework for Ratiometric Fluorescence Humidity Sensing
Xuan Yao1, Youchang Zhang1, Yu Qiu1
1School of Physical Science and Technology, Shanghai Key Laboratory of High-Resolution Electron Microscopy, State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai 201210, China.
Researchers developed a new 3D covalent organic framework (COF) for sensitive humidity sensing. This phototautomeric material exhibits guest-induced fluorescence changes, enabling precise environmental monitoring.
Area of Science:
- Photochemistry
- Materials Science
- Supramolecular Chemistry
Background:
- Photoinduced proton transfer is crucial for advanced materials but challenging to control in condensed phases.
- Excited State Intramolecular Proton Transfer (ESIPT) pathways require precise manipulation for functional applications.
Purpose of the Study:
- To design a novel 3D covalent organic framework (COF) for efficient and controlled photoinduced proton transfer.
- To develop a ratiometric fluorescence sensor for humidity detection with enhanced sensitivity and self-calibration.
Main Methods:
- Integration of a hydronaphthoquinone fluorophore into a crystalline, porous, phototautomeric 3D COF.
- Utilizing theoretical and spectroscopic studies to elucidate the ESIPT mechanism and tautomer dynamics.
- Demonstrating humidity sensing capabilities through fluorescence turn-on, emission redshift, and lifetime shortening.
Main Results:
- The 3D COF exhibits guest-induced fluorescence turn-on and emission redshift.
- Shortened fluorescence lifetimes were observed, enabling ratiometric sensing.
- The material demonstrated sensitive, rapid, steady, and self-calibrated humidity sensing across a wide range.
Conclusions:
- The phototautomeric 3D COF provides a robust platform for ratiometric fluorescence humidity sensing.
- The study offers molecular insights into designing functional porous materials for environmental and biomedical applications.
- Integration of host-guest recognition and photoelectronic response is key for multiplexed sensing.
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