Evidence map›Paper›PMID 38495944›Full record

ArticleAdvanced functional materials2023

Tunable Interparticle Connectivity in Gold Nanosphere Assemblies for Efficient Photoacoustic Conversion.

Myeongsoo Kim, Jinhwan Kim, Don VanderLaan, Kelsey P Kubelick, Anamik Jhunjhunwala, Ayoung Choe, Stanislav Y Emelianov

Abstract read
In one paragraph

Article in Advanced functional materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. ACS nano · 2025
    Article
  8. Gold Nanoparticles for Retinal Molecular Optical Imaging.International journal of molecular sciences · 2024
    Review
  9. Article
  10. Article
  11. 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

7 authors.

Myeongsoo KimPetit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, 30332, US.
Jinhwan KimWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA 30332, USA.
Don VanderLaanWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA 30332, USA.
Kelsey P KubelickWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA 30332, USA.
Anamik JhunjhunwalaWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA 30332, USA.
Ayoung ChoeWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA 30332, USA.
Stanislav Y EmelianovPetit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, 30332, US.

Funding

Trimodal Vitality Imaging of Neural Progenitor Cells in the Spinal CordR01NS117613 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI EMELIANOV, STANISLAV Y · 2020 to 2025
$3.0M
Image-guided cancer therapy using heat activatable CAR T cellsR01EB032822 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI EMELIANOV, STANISLAV Y, KWONG, GABRIEL A · 2022 to 2025
$2.6M
Magnetic Steering and Longitudinal Visualization of Stem Cells for Trabecular Meshwork Therapy in GlaucomaR01EY030071 · NEI · GEORGIA INSTITUTE OF TECHNOLOGY · PI EMELIANOV, STANISLAV Y, ETHIER, C ROSS · 2019 to 2022
$2.3M
Nanoparticle-augmented image-guided CAR T therapy and post-treatment assessmentK99CA263016 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI KIM, JINHWAN · 2022 to 2022
$133k
In vivo Photoacoustic Monitoring of Stem Cell Differentiation to Cancer Associated FibroblastsF31AG082500 · NIA · GEORGIA INSTITUTE OF TECHNOLOGY · PI JHUNJHUNWALA, ANAMIK · 2024 to 2025
$99k
NCI NIH HHS K99 CA263016NEI NIH HHS R01 EY030071NIA NIH HHS F31 AG082500NIBIB NIH HHS R01 EB032822NINDS NIH HHS R01 NS117613
6 · The paper itself

Abstract

Manipulating matter at the nanometer scale to create desired plasmonic nanostructures holds great promise in the field of biomedical photoacoustic (PA) imaging. We demonstrate a strategy for regulating PA signal generation from anisotropic nano-sized assemblies of gold nanospheres (Au NSs) by adjusting the inter-particle connectivity between neighboring Au NSs. The inter-particle connectivity is controlled by modulating the diameter and inter-particle spacing of Au NSs in the nanoassemblies. The results indicate that nanoassemblies with semi-connectivity, i.e., assemblies with a finite inter-particle spacing shorter than the theoretical limit of repulsion between nearby Au NSs, exhibit 3.4-fold and 2.4-fold higher PA signals compared to nanoassemblies with no connectivity and full connectivity, respectively. Furthermore, due to the reduced diffusion of Au atoms, the semi-connectivity Au nanoassemblies demonstrate high photodamage threshold and, therefore, excellent photostability at fluences above the current American National Standards Institute limits. The exceptional photostability of the semi-connectivity nanoassemblies highlights their potential to surpass conventional plasmonic contrast agents for continuing PA imaging. Collectively, our findings indicate that semi-connected nanostructures are a promising option for reliable, high-contrast PA imaging applications over multiple imaging sessions due to their strong PA signals and enhanced photostability.

Indexed as

exogenous imaging contrast agentsgold nanoparticlesinter-particle connectivitynanoscale engineeringPhotoacoustics

Identifiers

PMID38495944
PMCPMC10939103

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Registered trials

None linked

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.