Resolving molecule-specific information in dynamic lipid membrane processes with multi-resonant infrared metasurfaces

Daniel Rodrigo, Andreas Tittl, Nadine Ait-Bouziad, Aurelian John-Herpin, Odeta Limaj, Christopher Kelly, Daehan Yoo, Nathan J. Wittenberg, Sang-Hyun Oh, Hilal A. Lashuel and Hatice Altug ()
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Daniel Rodrigo: École Polytechnique Fédérale de Lausanne (EPFL)
Andreas Tittl: École Polytechnique Fédérale de Lausanne (EPFL)
Nadine Ait-Bouziad: École Polytechnique Fédérale de Lausanne (EPFL)
Aurelian John-Herpin: École Polytechnique Fédérale de Lausanne (EPFL)
Odeta Limaj: École Polytechnique Fédérale de Lausanne (EPFL)
Christopher Kelly: École Polytechnique Fédérale de Lausanne (EPFL)
Daehan Yoo: University of Minnesota
Nathan J. Wittenberg: University of Minnesota
Sang-Hyun Oh: University of Minnesota
Hilal A. Lashuel: École Polytechnique Fédérale de Lausanne (EPFL)
Hatice Altug: École Polytechnique Fédérale de Lausanne (EPFL)

Nature Communications, 2018, vol. 9, issue 1, 1-9

Abstract: Abstract A multitude of biological processes are enabled by complex interactions between lipid membranes and proteins. To understand such dynamic processes, it is crucial to differentiate the constituent biomolecular species and track their individual time evolution without invasive labels. Here, we present a label-free mid-infrared biosensor capable of distinguishing multiple analytes in heterogeneous biological samples with high sensitivity. Our technology leverages a multi-resonant metasurface to simultaneously enhance the different vibrational fingerprints of multiple biomolecules. By providing up to 1000-fold near-field intensity enhancement over both amide and methylene bands, our sensor resolves the interactions of lipid membranes with different polypeptides in real time. Significantly, we demonstrate that our label-free chemically specific sensor can analyze peptide-induced neurotransmitter cargo release from synaptic vesicle mimics. Our sensor opens up exciting possibilities for gaining new insights into biological processes such as signaling or transport in basic research as well as provides a valuable toolkit for bioanalytical and pharmaceutical applications.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-04594-x

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DOI: 10.1038/s41467-018-04594-x

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