Ultrasensitive Raman Detection of Biomolecular Conformation at the Attomole Scale using Chiral Nanophotonics.

Plasmonics SERS chirality enantiomer super chirality optical chirality

Journal

Small (Weinheim an der Bergstrasse, Germany)
ISSN: 1613-6829
Titre abrégé: Small
Pays: Germany
ID NLM: 101235338

Informations de publication

Date de publication:
24 Jul 2024
Historique:
revised: 08 07 2024
received: 04 06 2024
medline: 24 7 2024
pubmed: 24 7 2024
entrez: 24 7 2024
Statut: aheadofprint

Résumé

Understanding the function of a biomolecule hinges on its 3D conformation or secondary structure. Chirally sensitive, optically active techniques based on the differential absorption of UV-vis circularly polarized light excel at rapid characterisation of secondary structures. However, Raman spectroscopy, a powerful method for determining the structure of simple molecules, has limited capacity for structural analysis of biomolecules because of intrinsically weak optical activity, necessitating millimolar (mM) sample quantities. A breakthrough is presented for utilising Raman spectroscopy in ultrasensitive biomolecular conformation detection, surpassing conventional Raman optical activity by 15 orders of magnitude. This strategy combines chiral plasmonic metasurfaces with achiral molecular Raman reporters and enables the detection of different conformations (α-helix and random coil) of a model peptide (poly-L/D-lysine) at the ≤attomole level (monolayer). This exceptional sensitivity stems from the ability to detect local, molecular-scale changes in the electromagnetic (EM) environment of a chiral nanocavity induced by the presence of biomolecules using molecular Raman reporters. Further signal enhancement is achieved by incorporating achiral Au nanoparticles. The introduction of the nanoparticles creates highly localized regions of extreme optical chirality. This approach, which exploits Raman, a generic phenomenon, paves the way for next-generation technologies for the ultrasensitive detection of diverse biomolecular structures.

Identifiants

pubmed: 39045909
doi: 10.1002/smll.202404536
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2404536

Subventions

Organisme : James Watt Nanofabrication Centre
Organisme : Leverhulme Trust
ID : RF-2019-023
Organisme : Grantová Agentura České Republiky
ID : 23-08509S
Organisme : Engineering and Physical Sciences Research Council
ID : EP/S029168/1
Organisme : Engineering and Physical Sciences Research Council
ID : EP/S012745/1
Organisme : EPSRC Centre for Doctoral Training in Medical Imaging
ID : EP/S001514/1

Informations de copyright

© 2024 The Author(s). Small published by Wiley‐VCH GmbH.

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Auteurs

Shailendra K Chaubey (SK)

School of Chemistry, Joseph Black Building, University of Glasgow, Glasgow, G12 8QQ, UK.

Rahul Kumar (R)

School of Chemistry, Joseph Black Building, University of Glasgow, Glasgow, G12 8QQ, UK.

Paula L Lalaguna (PL)

School of Chemistry, Joseph Black Building, University of Glasgow, Glasgow, G12 8QQ, UK.

Martin Kartau (M)

School of Chemistry, Joseph Black Building, University of Glasgow, Glasgow, G12 8QQ, UK.

Simona Bianco (S)

School of Chemistry, Joseph Black Building, University of Glasgow, Glasgow, G12 8QQ, UK.

Victor Tabouillot (V)

School of Chemistry, Joseph Black Building, University of Glasgow, Glasgow, G12 8QQ, UK.

Andrew R Thomson (AR)

School of Chemistry, Joseph Black Building, University of Glasgow, Glasgow, G12 8QQ, UK.

Andrew Sutherland (A)

School of Chemistry, Joseph Black Building, University of Glasgow, Glasgow, G12 8QQ, UK.

Oleksiy Lyutakov (O)

Department of Solid-State Engineering, University of Chemistry and Technology, Prague, 16628, Czech Republic.

Nikolaj Gadegaard (N)

James Watt School of Engineering, Rankine Building, University of Glasgow, Glasgow, G12 8QQ, UK.

Affar S Karimullah (AS)

School of Chemistry, Joseph Black Building, University of Glasgow, Glasgow, G12 8QQ, UK.

Malcolm Kadodwala (M)

School of Chemistry, Joseph Black Building, University of Glasgow, Glasgow, G12 8QQ, UK.

Classifications MeSH