The DOI matches its Crossref record.
Mesoporous Silica Nanospheres as Highly Efficient MRI Contrast Agents
Abstract
Mesoporous silica nanoparticles (MSNs) containing a hexagonal array of one-dimensional channels with diameters of 2.4 nm were synthesized using a surfactant-templated, base-catalyzed condensation reaction. After extraction of the template, the highly porous 75 nm nanospheres were coated with a Gd−Si−DTTA complex to give MSN−Gd particles that exhibit very high MR relaxivities. The MSN−Gd nanoparticles were characterized using SEM, TEM, TGA, BET, PXRD, and DCP, and the relaxivities were determined on both a 3.0 T and a 9.4 T MR scanner. The MSN−Gd particles exhibit very high MR relaxivity on a per Gd basis and even more impressive MR relaxivity on a per nanoparticle basis, owing to the ready access of water molecules through the nanochannels of the MSN−Gd particles and a high payload of Gd centers. The in vivo efficacy of these particles as MR contrast agents was further demonstrated with monocyte cells and mouse models. Both T 1 -weighted and T 2 -weighted signal enhancement can be obtained at doses much lower than what is currently being used. In vitro MTS assay and in vivo mouse studies indicated no acute toxicity of the MSN−Gd nanoparticles. This work thus demonstrates the design and synthesis of highly efficient nanoparticulate MRI contrast agents based on MSNs and suggests the potential of using these new hybrid nanomaterials for early disease diagnosis.
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
Cited by
Longmire, M., Choyke, P. L., & Kobayashi, H. (2008) · Nanomedicine · doi:10.2217/17435889.3.5.703 · Cited by 2,149
Mesoporous silica nanoparticles in drug delivery and biomedical applications
Wang, Y., Zhao, Q., Han, N., Bai, L., Li, J., Liu, J., Che, E., Hu, L., Zhang, Q., Jiang, T., et al. (2015) · Nanomedicine: Nanotechnology, Biology and Medicine · doi:10.1016/j.nano.2014.09.014 · Cited by 1,192
Xia, T., Kovochich, M., Liong, M., Meng, H., Kabehie, S., George, S., Zink, J. I., & Nel, A. E. (2009) · ACS Nano · doi:10.1021/nn900918w · Cited by 933
Infinite coordination polymer nano- and microparticle structures
Spokoyny, A. M., Kim, D., Sumrein, A., & Mirkin, C. A. (2009) · Chemical Society Reviews · doi:10.1039/b807085g · Cited by 788
Nanoparticulate Functional Materials
Goesmann, H., & Feldmann, C. (2010) · Angewandte Chemie International Edition · doi:10.1002/anie.200903053 · Cited by 733
Nanoparticle decoration with surfactants: Molecular interactions, assembly, and applications
Heinz, H., Pramanik, C., Heinz, O., Ding, Y., Mishra, R. K., Marchon, D., Flatt, R. J., Estrela-Lopis, I., Llop, J., Moya, S., et al. (2017) · Surface Science Reports · doi:10.1016/j.surfrep.2017.02.001 · Cited by 608
Oh, J. K., & Park, J. M. (2011) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2010.08.005 · Cited by 427
pH-Operated Nanopistons on the Surfaces of Mesoporous Silica Nanoparticles
Zhao, Y.-L., Li, Z., Kabehie, S., Botros, Y. Y., Stoddart, J. F., & Zink, J. I. (2010) · Journal of the American Chemical Society · doi:10.1021/ja105371u · Cited by 304
Antimicrobial Activity of Silver Nanocrystals Encapsulated in Mesoporous Silica Nanoparticles
Liong, M., France, B., Bradley, K. A., & Zink, J. I. (2009) · Advanced Materials · doi:10.1002/adma.200802646 · Cited by 262
van Schooneveld, M. M., Vucic, E., Koole, R., Zhou, Y., Stocks, J., Cormode, D. P., Tang, C. Y., Gordon, R. E., Nicolay, K., Meijerink, A., et al. (2008) · Nano Letters · doi:10.1021/nl801596a · Cited by 256
Advantages and Limitations of Current Techniques for Analyzing the Biodistribution of Nanoparticles
Arms, L., Smith, D. W., Flynn, J., Palmer, W., Martin, A., Woldu, A., & Hua, S. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.00802 · Cited by 159
Development of Mesoporous Silica Nanomaterials As a Vehicle for Anticancer Drug Delivery
Yanes, R. E., & Tamanoi, F. (2012) · Therapeutic Delivery · doi:10.4155/tde.12.9 · Cited by 68
Metadata
- Authors
- Taylor, K. M. L., Kim, J. S., Rieter, W. J., An, H., Lin, W., & Lin, W.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-01-25
- Volume
- 130
- Issue
- 7
- Pages
- 2154-2155
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W1994640985
- Cited by
- 458
- References
- 0
- FWCI
- 21.89
- 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.
