Journal article 884 views 119 downloads
Solvatochromic covalent organic frameworks
Nature Communications, Volume: 9, Issue: 1
Swansea University Author: Emrys Evans
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DOI (Published version): 10.1038/s41467-018-06161-w
Abstract
Covalent organic frameworks (COFs) are an emerging class of highly tuneable crystalline, porous materials. Here we report the first COFs that change their electronic structure reversibly depending on the surrounding atmosphere. These COFs can act as solid-state supramolecular solvatochromic sensors...
Published in: | Nature Communications |
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ISSN: | 2041-1723 |
Published: |
Springer Science and Business Media LLC
2018
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URI: | https://cronfa.swan.ac.uk/Record/cronfa57569 |
Abstract: |
Covalent organic frameworks (COFs) are an emerging class of highly tuneable crystalline, porous materials. Here we report the first COFs that change their electronic structure reversibly depending on the surrounding atmosphere. These COFs can act as solid-state supramolecular solvatochromic sensors that show a strong colour change when exposed to humidity or solvent vapours, dependent on vapour concentration and solvent polarity. The excellent accessibility of the pores in vertically oriented films results in ultrafast response times below 200 ms, outperforming commercially available humidity sensors by more than an order of magnitude. Employing a solvatochromic COF film as a vapour-sensitive light filter, we demonstrate a fast humidity sensor with full reversibility and stability over at least 4000 cycles. Considering their immense chemical diversity and modular design, COFs with fine-tuned solvatochromic properties could broaden the range of possible applications for these materials in sensing and optoelectronics. |
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Faculty of Science and Engineering |
Funders: |
The authors are grateful for funding from the German Science Foundation (DFG; Research Cluster NIM) and the Free State of Bavaria (Research Network SolTech). The research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007-2013)/ ERC Grant Agreement No. 321339. This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and
innovation programme (grant agreement No 670405). |
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1 |