Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 363

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Black Phosphorus-Loaded Separable Microneedles as Responsive Oxygen Delivery Carriers for Wound Healing

Zhang, Xiaoxuan, Chen, Guopu, Liu, Yuxiao, Sun, Lingyu, Sun, Lingyun, Zhao, Yuanjin·2020·ACS Nano

Abstract

Oxygen carriers are attracting extensive interest in biomedical research and clinical applications such as wound healing, alternative blood transfusion, and acute trauma treatment. Great efforts have been devoted to the generation of oxygen carriers with special functions and properties to meet specific demands. Here, we present black phosphorus (BP)-loaded separable responsive microneedles (MNs) with oxygen carrying and controllable oxygen delivering ability for wound healing. Such MNs are composed of a polyvinyl acetate (PVA) backing layer and gelatin methacryloyl (GelMA) tips that are loaded with BP quantum dots (BP QDs) and hemoglobin (Hb). Taking advantage of the fast dissolvability of PVA, the backing layer soon disappears after the MNs are applied to skin and the noncytotoxic, biocompatible GelMA tips are left inside the skin. Due to the excellent photothermal effect of BP QDs and the reversible oxygen binding property of Hb, the local temperature of the skin will increase after near-infrared ray irradiation, resulting in the responsive oxygen release. Notably, the practical performance of such MNs has been demonstrated by treating the full-thickness cutaneous wounds of a type I diabetes rat model, indicating their potential value in wound healing and other related biomedical fields.

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/acsnano.0c01059

Cites

33 of 33 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 363

Metadata

Authors
Zhang, X., Chen, G., Liu, Y., Sun, L., Sun, L., & Zhao, Y.
Venue
ACS Nano
Published
2020-04-21
Volume
14
Issue
5
Pages
5901-5908
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W3016630914
Cited by
363
References
33
FWCI
24.08
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.