The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Reexamining the Effects of Particle Size and Surface Chemistry on the Magnetic Properties of Iron Oxide Nanocrystals: New Insights into Spin Disorder and Proton Relaxivity
Abstract
Superparamagnetic iron oxide nanocrystals are a class of nontoxic and biodegradable nanomaterials with broad applications in science, engineering, and medicine, but there is still considerable debate on how crystalline domain size and surface chemistry influence their properties for magnetic resonance imaging (MRI). Here we examine the effects of particle size and surface chemistry by comparing proton relaxivity data for two particle sizes and three surface coatings (6 combinations). These combinations are achieved by using both direct ligand exchange and indirect encapsulation methods to solubilize oleic-acid capped iron oxide nanocrystals. The results indicate that proton relaxivity depends on the particle size, the surface coating thickness and hydrophilicity, and the coordination chemistry of inner capping ligands. Nanocrystals coated with the hydrophilic ligand polyethylenimine (PEI) yield the highest proton relaxivity, whereas nanocrystals capped with oleic acid and amphiphilic polymers exhibit the strongest dependence on particle size. These effects arise from intrinsic surface spin disorders as well as from rapid exchange (diffusion) of water molecules between the bulk phase and the adjacent layer surrounding the particle surface.
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.
Integrity signals
Registry
Cites
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.
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
In vivo imaging of siRNA delivery and silencing in tumors
Medarova, Z., Pham, W., Farrar, C., Petkova, V., & Moore, A. (2007) · Nature Medicine · doi:10.1038/nm1486 · Cited by 697
Cited by
Progress in applications of magnetic nanoparticles in biomedicine
Pankhurst, Q. A., Thanh, N. T. K., Jones, S. K., & Dobson, J. (2009) · Journal of Physics D: Applied Physics · doi:10.1088/0022-3727/42/22/224001 · Cited by 1,455
Organic Phase Syntheses of Magnetic Nanoparticles and Their Applications
Wu, L., Mendoza-Garcia, A., Li, Q., & Sun, S. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00687 · Cited by 601
Lee, S. S., Song, W., Cho, M., Puppala, H. L., Nguyen, P., Zhu, H., Segatori, L., & Colvin, V. L. (2013) · ACS Nano · doi:10.1021/nn4026806 · Cited by 414
Tromsdorf, U. I., Bruns, O. T., Salmen, S. C., Beisiegel, U., & Weller, H. (2009) · Nano Letters · doi:10.1021/nl902715v · Cited by 396
Design of iron oxide-based nanoparticles for MRI and magnetic hyperthermia
Blanco-Andujar, C., Walter, A., Cotin, G., Bordeianu, C., Mertz, D., Felder-Flesch, D., & Begin-Colin, S. (2016) · Nanomedicine · doi:10.2217/nnm-2016-5001 · Cited by 276
Metadata
- Authors
- Duan, H., Kuang, M., Wang, X., Wang, Y. A., Mao, H., & Nie, S.
- Venue
- The Journal of Physical Chemistry C
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-05-08
- Volume
- 112
- Issue
- 22
- Pages
- 8127-8131
- ISSN
- 1932-7447 (ISSN-L)
- 1932-7455
- OpenAlex
- W1997617616
- Cited by
- 261
- References
- 1
- FWCI
- 12.15
- 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.