Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 218

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Anisotropic plasmonic nanostructures for colorimetric sensing

Open access
Zeng, Jingbin, Zhang, Yu, Zeng, Teng, Aleisa, Rashed, Qiu, Zhiwei, Chen, Yuzhu, Huang, Jiankun, Wang, Dawei, Yan, Zifeng, Yin, Yadong·2020·Nano Today

Abstract

Abstract Colorimetric detection is important for various applications where instant and convenient read-out is needed. Because of their fascinating optical properties, plasmonic nanostructures have inspired numerous colorimetric detections for environmental contaminants, biomolecules, and pharmaceuticals. The underlying mechanism of these colorimetric sensors is that the introduction of analytes can alter the distance, spatial arrangement (orientation), size, morphology, or composition of plasmonic nanostructures, inducing distinguishable changes of spectra and color. In this review, we focus our discussion on the colorimetric detection involving anisotropic nanostructures such as nanorods, nanoplates, nanoflowers, nanobipyramids, nanoframes, and nanocubes, which exhibit many unique advantages compared to their isotropic counterparts. In addition to illustrating the design principles, sensing mechanisms, and applications of these anisotropic nanostructures-based colorimetric methods, we also discuss smart plasmonic sensors based on anisotropic nanomaterials that are used to detect external stimuli such as temperature, pH, light, magnetic field, and mechanical force.

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 · 10.1016/j.nantod.2020.100855

Cites

2 of 2 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

Show all 2 references

Cited by

Metadata

Authors
Zeng, J., Zhang, Y., Zeng, T., Aleisa, R., Qiu, Z., Chen, Y., Huang, J., Wang, D., Yan, Z., & Yin, Y.
Venue
Nano Today
Publisher
Elsevier BV
Published
2020-06
Volume
32
Pages
100855
ISSN
1748-0132 (ISSN-L)
OpenAlex
W3012152565
Cited by
218
References
2
FWCI
21.91
Type
journal article
Language
en
Open access
bronze

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Anisotropic plasmonic nanostructures for colorimetric sensing. https://app.cochat.ai/papers/10.1016/j.nantod.2020.100855
The paper
Zeng, J., Zhang, Y., Zeng, T., Aleisa, R., Qiu, Z., Chen, Y., Huang, J., Wang, D., Yan, Z., & Yin, Y. (2020). Anisotropic plasmonic nanostructures for colorimetric sensing. Nano Today. https://doi.org/10.1016/j.nantod.2020.100855

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.