The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Large-Scale Synthesis of Bioinert Tantalum Oxide Nanoparticles for X-ray Computed Tomography Imaging and Bimodal Image-Guided Sentinel Lymph Node Mapping
Abstract
Ever since Au nanoparticles were developed as X-ray contrast agents, researchers have actively sought alternative nanoparticle-based imaging probes that are not only inexpensive but also safe for clinical use. Herein, we demonstrate that bioinert tantalum oxide nanoparticles are suitable nanoprobes for high-performance X-ray computed tomography (CT) imaging while simultaneously being cost-effective and meeting the criteria as a biomedical platform. Uniformly sized tantalum oxide nanoparticles were prepared using a microemulsion method, and their surfaces were readily modified using various silane derivatives through simple in situ sol-gel reaction. The silane-modified surface enabled facile immobilization of functional moieties such as polyethylene glycol (PEG) and fluorescent dye. PEG was introduced to endow the nanoparticles with biocompatibility and antifouling activity, whereas immobilized fluorescent dye molecules enabled simultaneous fluorescence imaging as well as X-ray CT imaging. The resulting nanoparticles exhibited remarkable performances in the in vivo X-ray CT angiography and bimodal image-guided lymph node mapping. We also performed an extensive study on in vivo toxicity of tantalum oxide nanoparticles, revealing that the nanoparticles did not affect normal functioning of organs.
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
Laurent, S., Forge, D., Port, M., Roch, A., Robic, C., Vander Elst, L., & Muller, R. N. (2008) · Chemical Reviews · doi:10.1021/cr068445e · Cited by 6,852
Nanostructures in Biodiagnostics
Rosi, N. L., & Mirkin, C. A. (2005) · Chemical Reviews · doi:10.1021/cr030067f · Cited by 4,603
Noninvasive detection of clinically occult lymph-node metastases in prostate cancer
Harisinghani, M. G., Barentsz, J., Hahn, P. F., Deserno, W. M., Tabatabaei, S., van de Kaa, C. H., de la Rosette, J., & Weissleder, R. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022749 · Cited by 1,971
Design considerations for tumour-targeted nanoparticles
Choi, H. S., Liu, W., Liu, F., Nasr, K., Misra, P., Bawendi, M. G., & Frangioni, J. V. (2010) · Nature Nanotechnology · doi:10.1038/nnano.2009.314 · Cited by 754
Noninvasive detection of macrophages using a nanoparticulate contrast agent for computed tomography
Hyafil, F., Cornily, J.-C., Feig, J. E., Gordon, R., Vucic, E., Amirbekian, V., Fisher, E. A., Fuster, V., Feldman, L. J., & Fayad, Z. A. (2007) · Nature Medicine · doi:10.1038/nm1571 · Cited by 467
Cited by
Imaging macrophages with nanoparticles
Weissleder, R., Nahrendorf, M., & Pittet, M. J. (2014) · Nature Materials · doi:10.1038/nmat3780 · Cited by 809
Reverse‐Micelle‐Induced Porous Pressure‐Sensitive Rubber for Wearable Human–Machine Interfaces
Jung, S., Kim, J. H., Kim, J., Choi, S., Lee, J., Park, I., Hyeon, T., & Kim, D. (2014) · Advanced Materials · doi:10.1002/adma.201401364 · Cited by 623
Self-citationLim, E., Jo, C., Kim, H., Kim, M.-H., Mun, Y., Chun, J., Ye, Y., Hwang, J., Ha, K.-S., Roh, K. C., et al. (2015) · ACS Nano · doi:10.1021/acsnano.5b02601 · Cited by 459
Self-citationSong, G., Chen, Y., Liang, C., Yi, X., Liu, J., Sun, X., Shen, S., Yang, K., & Liu, Z. (2016) · Advanced Materials · doi:10.1002/adma.201602111 · Cited by 394
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
Metadata
- Authors
- Oh, M. H., Lee, N., Kim, H., Park, S. P., Piao, Y., Lee, J., Jun, S. W., Moon, W. K., Choi, S. H., & Hyeon, T.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-03-23
- Volume
- 133
- Issue
- 14
- Pages
- 5508-5515
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2049711982
- Cited by
- 367
- References
- 5
- FWCI
- 17.50
- 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.
