Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 382

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Novel and efficient synthesis of Ag-ZnO nanoparticles for the sunlight-induced photocatalytic degradation

Liu, Yutong, Zhang, Qiuping, Xu, Ming, Yuan, Huan, Chen, Yu, Zhang, Jiaxi, Luo, Kaiyi, Zhang, Jingquan, You, Biao·2019·Applied Surface Science

Abstract

Abstract Plasmonic metal-semiconductor nanostructures endow them with an enormous potential application in photocatalysis, however, the uniform deposition of metal NPs as small as a few nanometers remains a challenge. Here, we demonstrate the effectiveness of two-step polymer-network gel process in the synthesis of Ag-ZnO nanocatalyst with superior photocatalytic properties. Because of uniform distributed Ag NPs, large specific surface area and abundant surface oxygen vacancies, the Ag-ZnO nanoparticles exhibit a super high photocatalytic efficiency in comparison to pure ZnO nanoparticles. The efficiency can be further improved by optimizing the external factors, such as catalyst dosage, ambient temperature and initial solution pH. Good stability and practicability indicate its potential application in environmental purification. Our work does not only provide a feasible strategy for the synthesis of high property Ag-ZnO nanophotocatalysts, but also enriches the understanding of metal-metal oxide nanostructures.

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.apsusc.2019.01.137

Cites

35 of 35 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 35 references

Cited by

See all 382

Metadata

Authors
Liu, Y., Zhang, Q., Xu, M., Yuan, H., Chen, Y., Zhang, J., Luo, K., Zhang, J., & You, B.
Venue
Applied Surface Science
Publisher
Elsevier BV
Published
2019-05
Volume
476
Pages
632-640
ISSN
0169-4332 (ISSN-L)
OpenAlex
W2909813529
Cited by
382
References
35
FWCI
11.13
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

How to cite

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

This page
CoChat. (2026). Citation check: Novel and efficient synthesis of Ag-ZnO nanoparticles for the sunlight-induced photocatalytic degradation. https://app.cochat.ai/papers/10.1016/j.apsusc.2019.01.137
The paper
Liu, Y., Zhang, Q., Xu, M., Yuan, H., Chen, Y., Zhang, J., Luo, K., Zhang, J., & You, B. (2019). Novel and efficient synthesis of Ag-ZnO nanoparticles for the sunlight-induced photocatalytic degradation. Applied Surface Science. https://doi.org/10.1016/j.apsusc.2019.01.137

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.