Evidence map›Paper›PMID 36133358›Full record

ArticleNanoscale advances2020

Quantitative optical microspectroscopy, electron microscopy, and modelling of individual silver nanocubes reveal surface compositional changes at the nanoscale.

Yisu Wang, Attilio Zilli, Zoltan Sztranyovszky, Wolfgang Langbein, Paola Borri

Abstract read
In one paragraph

Article in Nanoscale advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Yisu WangSchool of Biosciences, Cardiff University Museum Avenue Cardiff CF10 3AX UK.ORCID https://orcid.org/0000-0003-2929-9651
Attilio ZilliSchool of Biosciences, Cardiff University Museum Avenue Cardiff CF10 3AX UK.ORCID https://orcid.org/0000-0003-1845-6850
Zoltan SztranyovszkySchool of Physics and Astronomy, Cardiff University The Parade Cardiff CF24 3AA UK langbeinww@cardiff.ac.uk.ORCID https://orcid.org/0000-0002-9317-2455
Wolfgang LangbeinSchool of Physics and Astronomy, Cardiff University The Parade Cardiff CF24 3AA UK langbeinww@cardiff.ac.uk.ORCID https://orcid.org/0000-0001-9786-1023
Paola BorriSchool of Biosciences, Cardiff University Museum Avenue Cardiff CF10 3AX UK.ORCID https://orcid.org/0000-0002-7873-3314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optical response of metal nanoparticles is governed by plasmonic resonances, which depend often intricately on the geometry and composition of the particle and its environment. In this work we describe a method and analysis pipeline unravelling these relations at the single nanoparticle level through a quantitative characterization of the optical and structural properties. It is based on correlating electron microscopy with microspectroscopy measurements of the same particle immersed in media of different refractive indices. The optical measurements quantify the magnitude of both the scattering and the absorption cross sections, while the geometry measured in electron microscopy is used for numerical simulations of the cross section spectra accounting for the experimental conditions. We showcase the method on silver nanocubes of nominal 75 nm edge size. The large amount of information afforded by the quantitative cross section spectra and measuring the same particle in two environments, allows us to identify a specific degradation of the cube surface. We find a layer of tarnish, only a few nanometers thick, a fine surface compositional change of the studied system which would be hardly quantifiable otherwise.

Identifiers

PMID36133358
PMCPMC9419171

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Registered trials

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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.