Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 375

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Magnetic Iron Oxide Nanoparticles in 10−40 nm Range: Composition in Terms of Magnetite/Maghemite Ratio and Effect on the Magnetic Properties

Santoyo Salazar, Jaime, Perez, Lucas, de Abril, Oscar, Truong Phuoc, Lai, Ihiawakrim, Dris, Vazquez, Manuel, Greneche, Jean-Marc, Begin-Colin, Sylvie, Pourroy, Genevieve·2011·Chemistry of Materials
DOI 10.1021/cm103188a
Open this paper in CoChat — free account

Abstract

Magnetic iron oxide nanoparticles in the 10−40 nm size range and with a reduced distribution in size have been synthesized under argon by using ammonium bases R 4 NOH (R = CH 3, C 2 H 5, C 3 H 7 ) and a hydrothermal treatment. The size is tuned owing to the base to iron ratio and to the length of the alkyl chain R. We precipitate first ferric hydroxides at pH 1.5−2, then ferrous hydroxide at pH 5.5−6. The rapid increase of pH up to basic pH leads to the formation of magnetic iron oxide particles of 12 nm. For [base] to [Fe] ratio above 3.5, a homogeneous growth occurs during further hydrothermal treatment at 250 °C. The higher the quantity of base added and the longer the alkyl chain used, the smaller the particle size produced. For sizes above 20 nm, the Verwey transition at 120 K, characteristic of magnetite, is observed on the field cooling−zero field cooling magnetization curve. The nanoparticles can be described by a core−shell model, that is, a magnetite core surrounded by an oxidized layer close to maghemite. The fractional volume of maghemite increases as the particle size decreases so that below 20 nm, nanoparticles cannot be properly labeled as “magnetite”.

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/cm103188a

Cites

32 of 32 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 32 references

Cited by

Metadata

Authors
Santoyo Salazar, J., Perez, L., de Abril, O., Truong Phuoc, L., Ihiawakrim, D., Vazquez, M., Greneche, J.-M., Begin-Colin, S., & Pourroy, G.
Venue
Chemistry of Materials
Publisher
American Chemical Society (ACS)
Published
2011-02-11
Volume
23
Issue
6
Pages
1379-1386
ISSN
  • 0897-4756 (ISSN-L)
  • 1520-5002
DOI
10.1021/cm103188a
OpenAlex
W2317801740
Cited by
375
References
32
FWCI
10.07
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.