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Paramagnetic encoding of molecules

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    0558685 - ÚOCHB 2023 RIV GB eng J - Journal Article
    Kretschmer, Jan - David, Tomáš - Dračínský, Martin - Socha, Ondřej - Jirák, D. - Vít, M. - Jurok, R. - Kuchař, M. - Císařová, I. - Polášek, Miloslav
    Paramagnetic encoding of molecules.
    Nature Communications. Roč. 13, č. 1 (2022), č. článku 3179. E-ISSN 2041-1723
    R&D Projects: GA ČR(CZ) GJ17-22834Y
    Institutional support: RVO:61388963
    Keywords : solid-phase synthesis * contrast agents * information
    OECD category: Organic chemistry
    Impact factor: 16.6, year: 2022
    Method of publishing: Open access
    https://doi.org/10.1038/s41467-022-30811-9

    Contactless digital tags are increasingly penetrating into many areas of human activities. Digitalization of our environment requires an ever growing number of objects to be identified and tracked with machine-readable labels. Molecules offer immense potential to serve for this purpose, but our ability to write, read, and communicate molecular code with current technology remains limited. Here we show that magnetic patterns can be synthetically encoded into stable molecular scaffolds with paramagnetic lanthanide ions to write digital code into molecules and their mixtures. Owing to the directional character of magnetic susceptibility tensors, each sequence of lanthanides built into one molecule produces a unique magnetic outcome. Multiplexing of the encoded molecules provides a high number of codes that grows double-exponentially with the number of available paramagnetic ions. The codes are readable by nuclear magnetic resonance in the radiofrequency (RF) spectrum, analogously to the macroscopic technology of RF identification. A prototype molecular system capable of 16-bit (65,535 codes) encoding is presented. Future optimized systems can conceivably provide 64-bit (~10^19 codes) or higher encoding to cover the labelling needs in drug discovery, anti-counterfeiting and other areas.
    Permanent Link: http://hdl.handle.net/11104/0332314


    Research data: CCDC
     
     
Number of the records: 1  

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