4.8 Article

FRET-Integrated Polymer Brushes for Spatially Resolved Sensing of Changes in Polymer Conformation

Journal

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
Volume 60, Issue 30, Pages 16600-16606

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/anie.202104204

Keywords

chemosensing; fluorescence; FRET; polymer brushes; polymer dynamics

Funding

  1. Alexander von Humboldt foundation
  2. Deutsche Forschungsgemeinschaft (DFG) within the priority program 2171 [422852551, AU321/10-1, FE600/32-1, UH121/3-1]
  3. Projekt DEAL
  4. Australian Government through the National Computational Infrastructure (NCI), under the National Computational Merit Allocation Scheme [kl59]

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Polymer brush surfaces that can alter their physical properties in response to chemical stimuli have potential as new surface-based sensing materials. This study reports on ultrathin polymer brush surfaces integrated with FRET technology for optical sensing of changes in liquid mixture compositions, with high spatial resolution. The sensitivity and real-time sensing capabilities of these brush surfaces make them promising for enhanced surface-based sensing at complex interfaces.
Polymer brush surfaces that alter their physical properties in response to chemical stimuli have the capacity to be used as new surface-based sensing materials. For such surfaces, detecting the polymer conformation is key to their sensing capabilities. Herein, we report on FRET-integrated ultrathin (<70 nm) polymer brush surfaces that exhibit stimuli-dependent FRET with changing brush conformation. Poly(N-isopropylacrylamide) polymers were chosen due their exceptional sensitivity to liquid mixture compositions and their ability to be assembled into well-defined polymer brushes. The brush transitions were used to optically sense changes in liquid mixture compositions with high spatial resolution (tens of micrometers), where the FRET coupling allowed for noninvasive observation of brush transitions around complex interfaces with real-time sensing of the liquid environment. Our methods have the potential to be leveraged towards greater surface-based sensing capabilities at intricate interfaces.

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