Finnish researchers have developed a new method to guide self-assembly to form specific three-dimensional structures by coding different levels of information in artificially synthesized molecules. This achievement is expected to provide new ideas for the development of intelligent materials and molecular scale devices. In living organisms, molecules such as proteins can spontaneously form specific three-dimensional structures based on information encoded in their molecular sequences. However, how to enable artificially synthesized molecules to form predetermined structures with such accuracy has always been a major challenge facing chemical research. Researchers at the University of Jyväskylä in Finland have developed a hierarchical sequence control method to control the self-assembly process step by step by step by coding two-level information in molecules. The first level of information was initially selected, and the possible structure of the molecule was limited to 4 types of spirals. The second level of information further guides the formation of a specific spiral in these 4 types of spirals: three counterclockwise spirals, that is, three molecular chains are intertwined and circled counterclockwise. At the same time, this hierarchical control will also effectively inhibit the formation of other possible structures. Research shows that by making fine adjustments to the molecular sequence, it is possible to accurately control the three-dimensional structure of the final formation of the molecule. The research team hopes to further improve the ability to predict and control the molecular self-assembly process, so that artificially synthesized molecules can form more complex three-dimensional structures according to pre-designed methods. The relevant research results have been published in the academic journal “Applied Chemistry International Edition”.
Zhitongcaijing · 4d ago
Share
Listen to the news
Finnish researchers have developed a new method to guide self-assembly to form specific three-dimensional structures by coding different levels of information in artificially synthesized molecules. This achievement is expected to provide new ideas for the development of intelligent materials and molecular scale devices. In living organisms, molecules such as proteins can spontaneously form specific three-dimensional structures based on information encoded in their molecular sequences. However, how to enable artificially synthesized molecules to form predetermined structures with such accuracy has always been a major challenge facing chemical research. Researchers at the University of Jyväskylä in Finland have developed a hierarchical sequence control method to control the self-assembly process step by step by step by coding two-level information in molecules. The first level of information was initially selected, and the possible structure of the molecule was limited to 4 types of spirals. The second level of information further guides the formation of a specific spiral in these 4 types of spirals: three counterclockwise spirals, that is, three molecular chains are intertwined and circled counterclockwise. At the same time, this hierarchical control will also effectively inhibit the formation of other possible structures. Research shows that by making fine adjustments to the molecular sequence, it is possible to accurately control the three-dimensional structure of the final formation of the molecule. The research team hopes to further improve the ability to predict and control the molecular self-assembly process, so that artificially synthesized molecules can form more complex three-dimensional structures according to pre-designed methods. The relevant research results have been published in the academic journal “Applied Chemistry International Edition”.
Disclaimer:Webull uses external vendor Google Translation Service for news translations where we endeavour to ensure these are correct, however, we recommend that you please double-check this information accordingly. Webull is not responsible for translation errors or issues.
What's Trending