Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 251

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

Porphyrin MOF Dots–Based, Function‐Adaptive Nanoplatform for Enhanced Penetration and Photodynamic Eradication of Bacterial Biofilms

Deng, Qingqing, Sun, Panpan, Zhang, Lu, Liu, Zhengwei, Wang, Huan, Ren, Jinsong, Qu, Xiaogang·2019·Advanced Functional Materials

Abstract

Recently, antimicrobial photodynamic therapy (aPDT) has been considered as an attractive treatment option for biofilms ablation. However, even very efficient photosensitizers (PSs) still need high light doses and PS concentrations to eliminate biofilms due to the limited penetration and diffusion of PSs in biofilms. Moreover, the hypoxic microenvironment and rapid depletion of oxygen during PDT severely limit their therapeutic effects. Herein, for the first time, a porphyrin‐based metal organic framework (pMOF) dots–based nanoplatform with effective biofilm penetration, self‐oxygen generation, and enhanced photodynamic efficiency is synthesized for bacterial biofilms eradication. The function‐adaptive nanoplatform is composed of pMOF dots encapsulated by human serum albumin–coated manganese dioxide (MnO 2). The pH/H 2 O 2‐responsive decomposition of MnO 2 in biofilms triggers the release of ultra‐small and positively charged pMOF dots and simultaneously generates O 2 in situ to alleviate hypoxia for biofilms. The released pMOF dots with high reactive oxygen species yield can effectively penetrate into biofilms, strongly bind with bacterial cell surface, and ablate bacterial biofilms. Importantly, such a nanoplatform can realize great therapeutic outcomes for treatment of Staphylococcus aureus–infected subcutaneous abscesses in vivo without damage to healthy tissues, which offers a promising strategy for efficient biofilms eradication.

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 · 10.1002/adfm.201903018

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 251

Metadata

Authors
Deng, Q., Sun, P., Zhang, L., Liu, Z., Wang, H., Ren, J., & Qu, X.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2019-06-04
Volume
29
Issue
30
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2948928172
Cited by
251
References
1
FWCI
20.59
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: Porphyrin MOF Dots–Based, Function‐Adaptive Nanoplatform for Enhanced Penetration and Photodynamic Eradication of Bacterial Biofilms. https://app.cochat.ai/papers/10.1002/adfm.201903018
The paper
Deng, Q., Sun, P., Zhang, L., Liu, Z., Wang, H., Ren, J., & Qu, X. (2019). Porphyrin MOF Dots–Based, Function‐Adaptive Nanoplatform for Enhanced Penetration and Photodynamic Eradication of Bacterial Biofilms. Advanced Functional Materials. https://doi.org/10.1002/adfm.201903018

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.