Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 201

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

FePt Nanoparticles as an Fe Reservoir for Controlled Fe Release and Tumor Inhibition

Open access
Xu, Chenjie, Yuan, Zhenglong, Kohler, Nathan, Kim, Jaemin, Chung, Maureen A., Sun, Shouheng·2009·Journal of the American Chemical Society

Abstract

Chemically disordered face centered cubic (fcc) FePt nanoparticles (NPs) show the controlled release of Fe in low pH solution. The released Fe catalyzes H(2)O(2) decomposition into reactive oxygen species within cells, causing fast oxidation and deterioration of cellular membranes. Functionalized with luteinizing hormone-releasing hormone (LHRH) peptide via phospholipid, the fcc-FePt NPs can bind preferentially to the human ovarian cancer cell line (A2780) that overexpresses LHRH receptors and exhibit high toxicity to these tumor cells. In contrast, the fcc-FePt NPs pre-etched in the low pH (4.8) buffer solution show nonappreciable cytotoxicity. The work demonstrates that fcc-FePt NPs may function as a new type of agent for controlled cancer therapy.

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/ja905938a

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 201

Metadata

Authors
Xu, C., Yuan, Z., Kohler, N., Kim, J., Chung, M. A., & Sun, S.
Venue
Journal of the American Chemical Society
Published
2009-10-01
Volume
131
Issue
42
Pages
15346-15351
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2063576239
Cited by
201
References
7
FWCI
8.15
Type
journal article
Language
en
Open access
green

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: FePt Nanoparticles as an Fe Reservoir for Controlled Fe Release and Tumor Inhibition. https://app.cochat.ai/papers/10.1021/ja905938a
The paper
Xu, C., Yuan, Z., Kohler, N., Kim, J., Chung, M. A., & Sun, S. (2009). FePt Nanoparticles as an Fe Reservoir for Controlled Fe Release and Tumor Inhibition. Journal of the American Chemical Society. https://doi.org/10.1021/ja905938a

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.