Adaptive Supramolecular Networks: Emergent Sensing from Complex Systems.

Autor: Selinger AJ; Department of Chemistry, University of Victoria, 3800 Finnerty Rd., Victoria, BC V8P 5C2, Canada.; Centre for Advanced Materials and Related Technology (CAMTEC), University of Victoria, 3800 Finnerty Rd., Victoria, BC V8W 2Y2, Canada., Hof F; Department of Chemistry, University of Victoria, 3800 Finnerty Rd., Victoria, BC V8P 5C2, Canada.; Centre for Advanced Materials and Related Technology (CAMTEC), University of Victoria, 3800 Finnerty Rd., Victoria, BC V8W 2Y2, Canada.
Jazyk: angličtina
Zdroj: Angewandte Chemie (International ed. in English) [Angew Chem Int Ed Engl] 2023 Nov 06; Vol. 62 (45), pp. e202312407. Date of Electronic Publication: 2023 Sep 27.
DOI: 10.1002/anie.202312407
Abstrakt: Molecular differentiation by supramolecular sensors is typically achieved through sensor arrays, relying on the pattern recognition responses of large panels of isolated sensing elements. Here we report a new one-pot systems chemistry approach to differential sensing in biological solutions. We constructed an adaptive network of three cross-assembling sensor elements with diverse analyte-binding and photophysical properties. This robust sensing approach exploits complex interconnected sensor-sensor and sensor-analyte equilibria, producing emergent supramolecular and photophysical responses unique to each analyte. We characterize the basic mechanisms by which an adaptive network responds to analytes. The inherently data-rich responses of an adaptive network discriminate among very closely related proteins and protein mixtures without relying on designed protein recognition elements. We show that a single adaptive sensing solution provides better analyte discrimination using fewer response observations than a sensor array built from the same components. We also show the network's ability to adapt and respond to changing biological solutions over time.
(© 2023 The Authors. Angewandte Chemie International Edition published by Wiley-VCH GmbH.)
Databáze: MEDLINE
Externí odkaz: