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Chiral Plasmonic Fields Probe Structural Order of Biointerfaces

[Image: see text] The structural order of biopolymers, such as proteins, at interfaces defines the physical and chemical interactions of biological systems with their surroundings and is hence a critical parameter in a range of biological problems. Known spectroscopic methods for routine rapid monit...

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Autores principales: Kelly, Christopher, Tullius, Ryan, Lapthorn, Adrian J., Gadegaard, Nikolaj, Cooke, Graeme, Barron, Laurence D., Karimullah, Affar S., Rotello, Vincent M., Kadodwala, Malcolm
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2018
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6070957/
https://www.ncbi.nlm.nih.gov/pubmed/29909628
http://dx.doi.org/10.1021/jacs.8b03634
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author Kelly, Christopher
Tullius, Ryan
Lapthorn, Adrian J.
Gadegaard, Nikolaj
Cooke, Graeme
Barron, Laurence D.
Karimullah, Affar S.
Rotello, Vincent M.
Kadodwala, Malcolm
author_facet Kelly, Christopher
Tullius, Ryan
Lapthorn, Adrian J.
Gadegaard, Nikolaj
Cooke, Graeme
Barron, Laurence D.
Karimullah, Affar S.
Rotello, Vincent M.
Kadodwala, Malcolm
author_sort Kelly, Christopher
collection PubMed
description [Image: see text] The structural order of biopolymers, such as proteins, at interfaces defines the physical and chemical interactions of biological systems with their surroundings and is hence a critical parameter in a range of biological problems. Known spectroscopic methods for routine rapid monitoring of structural order in biolayers are generally only applied to model single-component systems that possess a spectral fingerprint which is highly sensitive to orientation. This spectroscopic behavior is not a generic property and may require the addition of a label. Importantly, such techniques cannot readily be applied to real multicomponent biolayers, have ill-defined or unknown compositions, and have complex spectroscopic signatures with many overlapping bands. Here, we demonstrate the sensitivity of plasmonic fields with enhanced chirality, a property referred to as superchirality, to global orientational order within both simple model and “real” complex protein layers. The sensitivity to structural order is derived from the capability of superchiral fields to detect the anisotropic nature of electric dipole–magnetic dipole response of the layer; this is validated by numerical simulations. As a model study, the evolution of orientational order with increasing surface density in layers of the antibody immunoglobulin G was monitored. As an exemplar of greater complexity, superchiral fields are demonstrated, without knowledge of exact composition, to be able to monitor how qualitative changes in composition alter the structural order of protein layers formed from blood serum, thereby establishing the efficacy of the phenomenon as a tool for studying complex biological interfaces.
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spelling pubmed-60709572018-08-05 Chiral Plasmonic Fields Probe Structural Order of Biointerfaces Kelly, Christopher Tullius, Ryan Lapthorn, Adrian J. Gadegaard, Nikolaj Cooke, Graeme Barron, Laurence D. Karimullah, Affar S. Rotello, Vincent M. Kadodwala, Malcolm J Am Chem Soc [Image: see text] The structural order of biopolymers, such as proteins, at interfaces defines the physical and chemical interactions of biological systems with their surroundings and is hence a critical parameter in a range of biological problems. Known spectroscopic methods for routine rapid monitoring of structural order in biolayers are generally only applied to model single-component systems that possess a spectral fingerprint which is highly sensitive to orientation. This spectroscopic behavior is not a generic property and may require the addition of a label. Importantly, such techniques cannot readily be applied to real multicomponent biolayers, have ill-defined or unknown compositions, and have complex spectroscopic signatures with many overlapping bands. Here, we demonstrate the sensitivity of plasmonic fields with enhanced chirality, a property referred to as superchirality, to global orientational order within both simple model and “real” complex protein layers. The sensitivity to structural order is derived from the capability of superchiral fields to detect the anisotropic nature of electric dipole–magnetic dipole response of the layer; this is validated by numerical simulations. As a model study, the evolution of orientational order with increasing surface density in layers of the antibody immunoglobulin G was monitored. As an exemplar of greater complexity, superchiral fields are demonstrated, without knowledge of exact composition, to be able to monitor how qualitative changes in composition alter the structural order of protein layers formed from blood serum, thereby establishing the efficacy of the phenomenon as a tool for studying complex biological interfaces. American Chemical Society 2018-06-18 2018-07-11 /pmc/articles/PMC6070957/ /pubmed/29909628 http://dx.doi.org/10.1021/jacs.8b03634 Text en Copyright © 2018 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
spellingShingle Kelly, Christopher
Tullius, Ryan
Lapthorn, Adrian J.
Gadegaard, Nikolaj
Cooke, Graeme
Barron, Laurence D.
Karimullah, Affar S.
Rotello, Vincent M.
Kadodwala, Malcolm
Chiral Plasmonic Fields Probe Structural Order of Biointerfaces
title Chiral Plasmonic Fields Probe Structural Order of Biointerfaces
title_full Chiral Plasmonic Fields Probe Structural Order of Biointerfaces
title_fullStr Chiral Plasmonic Fields Probe Structural Order of Biointerfaces
title_full_unstemmed Chiral Plasmonic Fields Probe Structural Order of Biointerfaces
title_short Chiral Plasmonic Fields Probe Structural Order of Biointerfaces
title_sort chiral plasmonic fields probe structural order of biointerfaces
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6070957/
https://www.ncbi.nlm.nih.gov/pubmed/29909628
http://dx.doi.org/10.1021/jacs.8b03634
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