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Fluorescent nanozeolite receptors for the highly selective and sensitive detection of neurotransmitters in water and biofluids

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D'Este,  Elisa
Max Planck Institute for Medical Research, Max Planck Society;

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Citation

Grimm, L. M., Sinn, S., Krstić, M., D'Este, E., Sonntag, I., Prasetyanto, E. A., et al. (2021). Fluorescent nanozeolite receptors for the highly selective and sensitive detection of neurotransmitters in water and biofluids. Advanced Materials, 33(49): 2104614, pp. 1-12. doi:10.1002/adma.202104614.


Cite as: https://hdl.handle.net/21.11116/0000-0009-4D6A-B
Abstract
The design and preparation of synthetic binders (SBs) applicable for small biomolecule sensing in aqueous media remains very challenging. SBs designed by the lock-and-key principle can be selective for their target analyte but usually show an insufficient binding strength in water. In contrast, SBs based on symmetric macrocycles with a hydrophobic cavity can display high binding affinities but generally suffer from indiscriminate binding of many analytes. Herein, a completely new and modular receptor design strategy based on microporous hybrid materials is presented yielding zeolite-based artificial receptors (ZARs) which reversibly bind the neurotransmitters serotonin and dopamine with unprecedented affinity and selectivity even in saline biofluids. ZARs are thought to uniquely exploit both the non-classical hydrophobic effect and direct non-covalent recognition motifs, which is supported by in-depth photophysical, and calorimetric experiments combined with full atomistic modeling. ZARs are thermally and chemically robust and can be readily prepared at gram scales. Their applicability for the label-free monitoring of important enzymatic reactions, for (two-photon) fluorescence imaging, and for high-throughput diagnostics in biofluids is demonstrated. This study showcases that artificial receptor based on microporous hybrid materials can overcome standing limitations of synthetic chemosensors, paving the way towards personalized diagnostics and metabolomics.