Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 276

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Biocompatible, Uniform, and Redispersible Mesoporous Silica Nanoparticles for Cancer‐Targeted Drug Delivery In Vivo

Zhang, Quan, Wang, Xiaoling, Li, Pei‐Zhou, Nguyen, Kim Truc, Wang, Xiao‐Jun, Luo, Zhong, Zhang, Huacheng, Tan, Nguan Soon, Zhao, Yanli·2014·Advanced Functional Materials

Abstract

Engineering multifunctional nanocarriers for targeted drug delivery shows promising potentials to revolutionize the cancer chemotherapy. Simple methods to optimize physicochemical characteristics and surface composition of the drug nanocarriers need to be developed in order to tackle major challenges for smooth translation of suitable nanocarriers to clinical applications. Here, rational development and utilization of multifunctional mesoporous silica nanoparticles (MSNPs) for targeting MDA‐MB‐231 xenograft model breast cancer in vivo are reported. Uniform and redispersible poly(ethylene glycol)‐incorporated MSNPs with three different sizes (48, 72, 100 nm) are synthesized. They are then functionalized with amino‐β‐cyclodextrin bridged by cleavable disulfide bonds, where amino‐β‐cyclodextrin blocks drugs inside the mesopores. The incorporation of active folate targeting ligand onto 48 nm of multifunctional MSNPs (PEG‐MSNPs48‐CD‐PEG‐FA) leads to improved and selective uptake of the nanoparticles into tumor. Targeted drug delivery capability of PEG‐MSNPs48‐CD‐PEG‐FA is demonstrated by significant inhibition of the tumor growth in mice treated with doxorubicin‐loaded nanoparticles, where doxorubicin is released triggered by intracellular acidic pH and glutathione. Doxorubicin‐loaded PEG‐MSNPs48‐CD‐PEG‐FA exhibits better in vivo therapeutic efficacy as compared with free doxorubicin and non‐targeted nanoparticles. Current study presents successful utilization of multifunctional MSNP‐based drug nanocarriers for targeted cancer therapy in vivo.

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.201302988

Cites

7 of 7 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 7 references

Cited by

See all 276

Metadata

Authors
Zhang, Q., Wang, X., Li, P., Nguyen, K. T., Wang, X., Luo, Z., Zhang, H., Tan, N. S., & Zhao, Y.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2013-12-21
Volume
24
Issue
17
Pages
2450-2461
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2097105120
Cited by
276
References
7
FWCI
10.42
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: Biocompatible, Uniform, and Redispersible Mesoporous Silica Nanoparticles for Cancer‐Targeted Drug Delivery In Vivo. https://app.cochat.ai/papers/10.1002/adfm.201302988
The paper
Zhang, Q., Wang, X., Li, P., Nguyen, K. T., Wang, X., Luo, Z., Zhang, H., Tan, N. S., & Zhao, Y. (2014). Biocompatible, Uniform, and Redispersible Mesoporous Silica Nanoparticles for Cancer‐Targeted Drug Delivery In Vivo. Advanced Functional Materials. https://doi.org/10.1002/adfm.201302988

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.