Evidence map›Paper›PMID 34799553›Full record

ArticleNature communications2021

Resolving sub-angstrom ambient motion through reconstruction from vibrational spectra.

Jack Griffiths, Tamás Földes, Bart de Nijs, Rohit Chikkaraddy, Demelza Wright, William M Deacon, Dénes Berta, Charlie Readman, David-Benjamin Grys, Edina Rosta and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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  17. Machine learning of spectra-property relationship for imperfect and small chemistry data.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  18. Picocavities: a Primer.Nano letters · 2022
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jack GriffithsNanoPhotonics Centre, Cavendish Laboratory, University of Cambridge, J J Thomson Avenue, Cambridge, CB3 0HE, UK.
Tamás FöldesDepartment of Chemistry, King's College London, 7 Trinity Street, London, SE1 1DB, UK.
Bart de NijsNanoPhotonics Centre, Cavendish Laboratory, University of Cambridge, J J Thomson Avenue, Cambridge, CB3 0HE, UK. bd355@cam.ac.uk.ORCID http://orcid.org/0000-0002-8234-723X
Rohit ChikkaraddyNanoPhotonics Centre, Cavendish Laboratory, University of Cambridge, J J Thomson Avenue, Cambridge, CB3 0HE, UK.ORCID http://orcid.org/0000-0002-3840-4188
Demelza WrightNanoPhotonics Centre, Cavendish Laboratory, University of Cambridge, J J Thomson Avenue, Cambridge, CB3 0HE, UK.
William M DeaconNanoPhotonics Centre, Cavendish Laboratory, University of Cambridge, J J Thomson Avenue, Cambridge, CB3 0HE, UK.
Dénes BertaDepartment of Chemistry, King's College London, 7 Trinity Street, London, SE1 1DB, UK.
Charlie ReadmanNanoPhotonics Centre, Cavendish Laboratory, University of Cambridge, J J Thomson Avenue, Cambridge, CB3 0HE, UK.
David-Benjamin GrysNanoPhotonics Centre, Cavendish Laboratory, University of Cambridge, J J Thomson Avenue, Cambridge, CB3 0HE, UK.
Edina RostaDepartment of Chemistry, King's College London, 7 Trinity Street, London, SE1 1DB, UK.
Jeremy J BaumbergNanoPhotonics Centre, Cavendish Laboratory, University of Cambridge, J J Thomson Avenue, Cambridge, CB3 0HE, UK. jjb12@cam.ac.uk.ORCID http://orcid.org/0000-0002-9606-9488

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 757850EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 883703RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/G037221/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/G060649/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/L027151/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/R013012/1
6 · The paper itself

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.

Identifiers

PMID34799553
PMCPMC8604935

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.