Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 243

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Prussian Blue Nanozyme with Multienzyme Activity Reduces Colitis in Mice

Zhao, Jiulong, Cai, Xiaojun, Gao, Wei, Zhang, Linlin, Zou, Duowu, Zheng, Yuanyi, Li, Zhaoshen, Chen, Hangrong·2018·ACS Applied Materials & Interfaces

Abstract

The overproduction of reactive oxygen species (ROS) is central to the progression of inflammatory bowel disease (IBD), which may be the potential therapeutic target. Prussian blue (PB) nanoparticles with good biosafety can act as an artificial nanozyme, effectively scavenging ROS. To date, PB-based nanomaterials have not been developed and utilized for treatment of IBD. In this study, poly(vinylpyrrolidone)-modified Prussian blue (PPB) nanoparticles are constructed with good physiological stability and biosafety by a simple and efficient method. The prepared PPBs with capabilities of scavenging ROS and inhibiting proinflammatory cytokine significantly reduce colitis in mice without distinct side effects via intravenous administration. This report provides a demonstration of the protective effect of PB-based nanomedicine against IBD in living animals, offering hope and a potential alternative treatment option for patients suffering from IBD.

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/acsami.8b10345

Cites

1 of 1 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 1 references

Cited by

See all 243

Metadata

Authors
Zhao, J., Cai, X., Gao, W., Zhang, L., Zou, D., Zheng, Y., Li, Z., & Chen, H.
Venue
ACS Applied Materials & Interfaces
Published
2018-07-20
Volume
10
Issue
31
Pages
26108-26117
ISSN
  • 1944-8244 (ISSN-L)
  • 1944-8252
OpenAlex
W2884855541
Cited by
243
References
1
FWCI
5.69
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: Prussian Blue Nanozyme with Multienzyme Activity Reduces Colitis in Mice. https://app.cochat.ai/papers/10.1021/acsami.8b10345
The paper
Zhao, J., Cai, X., Gao, W., Zhang, L., Zou, D., Zheng, Y., Li, Z., & Chen, H. (2018). Prussian Blue Nanozyme with Multienzyme Activity Reduces Colitis in Mice. ACS Applied Materials & Interfaces. https://doi.org/10.1021/acsami.8b10345

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.