Resolving sub-angstrom ambient motion through reconstruction from vibrational spectra.
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Authors
Griffiths, Jack
Földes, Tamás
Wright, Demelza
Deacon, William M
Berta, Dénes
Readman, Charlie
Grys, David-Benjamin
Rosta, Edina
Publication Date
2021-11-19Journal Title
Nat Commun
ISSN
2041-1723
Publisher
Springer Science and Business Media LLC
Volume
12
Issue
1
Language
eng
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Griffiths, J., Földes, T., de Nijs, B., Chikkaraddy, R., Wright, D., Deacon, W. M., Berta, D., et al. (2021). Resolving sub-angstrom ambient motion through reconstruction from vibrational spectra.. Nat Commun, 12 (1) https://doi.org/10.1038/s41467-021-26898-1
Abstract
Metal/organic-molecule interactions underpin many key chemistries but occur on sub-nm scales where nanoscale visualisation techniques tend to average over heterogeneous distributions. Single molecule imaging techniques at the atomic scale have found it challenging to track chemical behaviour under ambient conditions. Surface-enhanced Raman spectroscopy can optically monitor the vibrations of single molecules but understanding is limited by the complexity of spectra and mismatch between theory and experiment. We demonstrate that spectra from an optically generated metallic adatom near a molecule of interest can be inverted into dynamic sub-Å metal-molecule interactions using a comprehensive model, revealing anomalous diffusion of a single atom. Transient metal-organic coordination bonds chemically perturb molecular functional groups > 10 bonds away. With continuous improvements in computational methods for modelling large and complex molecular systems, this technique will become increasingly applicable to accurately tracking more complex chemistries.
Keywords
Bioengineering, Nanotechnology
Sponsorship
We acknowledge financial support from EPSRC grant EP/G060649/1, EP/L027151/1, EP/G037221/1, EP/R013012/1, EPSRC NanoDTC, and EU grant THOR 829067 and ERC starting grant BioNet 757850.
B.d.N. acknowledges support from the Leverhulme Trust and Isaac Newton Trust. We acknowledge use of the Rosalind computing facility at King’s College London. We are grateful to the UK Materials and Molecular Modelling Hub for computational resources, which is partially funded by EPSRC 397 (EP/P020194/1).
Funder references
Isaac Newton Trust (18.08(K))
Leverhulme Trust (ECF-2018-021)
Engineering and Physical Sciences Research Council (EP/G060649/1)
Engineering and Physical Sciences Research Council (EP/L027151/1)
Engineering and Physical Sciences Research Council (EP/G037221/1)
European Commission Horizon 2020 (H2020) Future and Emerging Technologies (FET) (829067)
Engineering and Physical Sciences Research Council (EP/R020965/1)
European Commission Horizon 2020 (H2020) Research Infrastructures (RI) (861950)
European Commission Horizon 2020 (H2020) ERC (883703)
Engineering and Physical Sciences Research Council (EP/L015978/1)
Identifiers
PMC8604935, 34799553
External DOI: https://doi.org/10.1038/s41467-021-26898-1
This record's URL: https://www.repository.cam.ac.uk/handle/1810/332400
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