Molecular decoders are single host matrices able to differentiate analytes by their distinct structural accommodations. Ten years ago, Susumu Kitagawa and co-workers described the prototypical molecular decoder and paved the way for molecular sensing. We now revisit this seminal study and discuss some of the advances that have followed.
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References
Lehn, J.-M. Supramolecular chemistry—scope and perspectives molecules, supermolecules, and molecular Devices (Nobel Lecture). Angew. Chem. Int. Ed. Engl. 27, 89–112 (1988).
de Silva, A. P. et al. Signaling recognition events with fluorescent sensors and switches. Chem. Rev 97, 1515–1566 (1997).
Mako, T. L., Racicot, J. M. & Levine, M. Supramolecular luminescent sensors. Chem. Rev 119, 322–477 (2019).
Rakow, N. A. & Suslick, K. S. A colorimetric sensor array for odour visualization. Nature 406, 710–713 (2000).
Takashima, Y. et al. Molecular decoding using luminescence from an entangled porous framework. Nat. Commun. 2, 168 (2011).
Lustig, W. P. et al. Metal–organic frameworks: functional luminescent and photonic materials for sensing applications. Chem. Soc. Rev. 46, 3242–3285 (2017).
Batten, S. R. & Robson, R. Interpenetrating nets: ordered, periodic entanglement. Angew. Chem. Int. Ed. 37, 1460–1494 (1998).
Barros, T. C., Brochsztain, S., Toscano, V. G., Filho, P. B. & Politi, M. J. Photophysical characterization of a 1,4,5,8-naphthalenediimide derivative. J. Photochem. Photobiol. A Chem. 111, 97–104 (1997).
Falcaro, P. & Furukawa, S. Doping light emitters into metal–organic frameworks. Angew. Chem. Int. Ed. 51, 8431–8433 (2012).
Jablonka, K. M., Ongari, D., Moosavi, S. M. & Smit, B. Big-data science in porous materials: materials genomics and machine learning. Chem. Rev 120, 8066–8129 (2020).
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Mukherjee, S., Ghosh, S.K. A decade of decoding. Nat Rev Chem 5, 600–601 (2021). https://doi.org/10.1038/s41570-021-00298-x
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DOI: https://doi.org/10.1038/s41570-021-00298-x
