Nature-inspired polymer catalyst for formulating on/off-selective catalytic ability, by virtue of recognition/misrecognition-alterable scaffolds
Autor: | Yuan Zhang, Mingyang Ji, Wenjing Wei, Songjun Li, Tao Chen |
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Rok vydání: | 2021 |
Předmět: |
chemistry.chemical_classification
Polymers and Plastics Chemistry Substrate (chemistry) Nanotechnology 02 engineering and technology Polymer 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences Smart polymer 0104 chemical sciences Catalysis Materials Chemistry Recognition system Molecule Nature inspired 0210 nano-technology |
Zdroj: | Journal of Inorganic and Organometallic Polymers and Materials. 31:2521-2531 |
ISSN: | 1574-1451 1574-1443 |
DOI: | 10.1007/s10904-020-01843-9 |
Popis: | Here, we aimed to develop manipulatable catalytic paradigms, expounding how to endue the catalysts with on/off-selective catalytic ability. Inspired from the nature, this target was hit by reporting a polymer catalyst prepared by imprinting substrate molecules in a metal-nanoparticle- encapsulated smart polymer that held mobile molecular chains in the polymeric networks. These mobile functional chains, by being “frozen” or “thawed”, allowed the smart polymer carrier to function with either recognition or misrecognition properties for the imprinted substrate, resulting in on/off-selective catalytic ability. This catalyst exhibited selective catalytic behaviors towards the imprinted substrate at relatively low temperatures, due to the “frozen” functional chains which admitted recognition properties. In contrast, this catalyst did not provide selective catalytic behaviors at relatively high temperatures, arising from the growing mobility of these functional chains which dismantled the recognition system. In this way, this catalyst showed the on/off- selective catalytic ability. The formulation of this catalyst shares an attractive prospect with the development of programmable catalytic processes. |
Databáze: | OpenAIRE |
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