Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 649

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

The Quest for Shape Control: A History of Gold Nanorod Synthesis

Lohse, Samuel E., Murphy, Catherine J.·2013·Chemistry of Materials

Abstract

The development of facile seeded growth syntheses for anisotropic gold nanoparticles (particularly gold nanorods) has spurred an interest in their optical properties and applications. The development of the first seeded growth synthesis for gold nanorods in 2001 was a transformative event, providing the first simple, convenient wet chemistry route to these nanomaterials. Over the past decade, the original seeded growth procedure has been the subject of further modifications that have continuously expanded researchers’ access to anisotropic gold nanoparticles. Recent modifications to the synthesis have improved synthetic control over gold nanorod aspect ratio, increased synthesis up to the gram scale, and provided the opportunity to tightly control the absolute dimensions of AuNRs. Despite these advances, the mechanism of gold nanorod growth in this synthesis remains poorly understood. Recent investigations into gold nanorod growth mechanisms have revealed the process to be unexpectedly complex, suggesting that many different reagents interact synergistically to promote shape control, and that growth of the AuNR core may proceed by complex processes, such as stochastic nanorod growth. Nevertheless, the advent of new in situ characterization techniques promises to shortly reveal new insights into gold nanorod core growth, and may inform further significant modifications, improving the efficiency and versatility of seeded growth synthesis. In this review, we recount the history of the seeded growth synthesis for gold nanorods, examine the impact of recent advances in this synthesis, and current investigations into the mechanism of gold nanorod growth.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/cm303708p

Cites

77 of 77 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 649

Metadata

Authors
Lohse, S. E., & Murphy, C. J.
Venue
Chemistry of Materials
Published
2013-03-01
Volume
25
Issue
8
Pages
1250-1261
ISSN
  • 0897-4756 (ISSN-L)
  • 1520-5002
OpenAlex
W2333578679
Cited by
649
References
77
FWCI
23.43
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.