The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Effect of Injection Routes on the Biodistribution, Clearance, and Tumor Uptake of Carbon Dots
Open accessAbstract
The emergence of photoluminescent carbon-based nanomaterials has shown exciting potential in the development of benign nanoprobes. However, the in vivo kinetic behaviors of these particles that are necessary for clinical translation are poorly understood to date. In this study, fluorescent carbon dots (C-dots) were synthesized and the effect of three injection routes on their fate in vivo was explored by using both near-infrared fluorescence and positron emission tomography imaging techniques. We found that C-dots are efficiently and rapidly excreted from the body after all three injection routes. The clearance rate of C-dots is ranked as intravenous > intramuscular > subcutaneous. The particles had relatively low retention in the reticuloendothelial system and showed high tumor-to-background contrast. Furthermore, different injection routes also resulted in different blood clearance patterns and tumor uptakes of C-dots. These results satisfy the need for clinical translation and should promote efforts to further investigate the possibility of using carbon-based nanoprobes in a clinical setting. More broadly, we provide a testing blueprint for in vivo behavior of nanoplatforms under various injection routes, an important step forward toward safety and efficacy analysis of nanoparticles.
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
Renal clearance of quantum dots
Soo Choi, H., Liu, W., Misra, P., Tanaka, E., Zimmer, J. P., Itty Ipe, B., Bawendi, M. G., & Frangioni, J. V. (2007) · Nature Biotechnology · doi:10.1038/nbt1340 · Cited by 4,476
Second window for in vivo imaging
Smith, A. M., Mancini, M. C., & Nie, S. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.326 · Cited by 2,848
Welsher, K., Sherlock, S. P., & Dai, H. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1014501108 · Cited by 958
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
Self-citation
Cited by
Carbon quantum dots and their applications
Lim, S. Y., Shen, W., & Gao, Z. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00269e · Cited by 4,976
Glowing Graphene Quantum Dots and Carbon Dots: Properties, Syntheses, and Biological Applications
Zheng, X. T., Ananthanarayanan, A., Luo, K. Q., & Chen, P. (2015) · Small · doi:10.1002/smll.201402648 · Cited by 2,190
Carbon Dots: A New Type of Carbon-Based Nanomaterial with Wide Applications
Liu, J., Li, R., & Yang, B. (2020) · ACS Central Science · doi:10.1021/acscentsci.0c01306 · Cited by 1,936
Nanochemistry and Nanomedicine for Nanoparticle-based Diagnostics and Therapy
Chen, G., Roy, I., Yang, C., & Prasad, P. N. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00148 · Cited by 1,499
Carbon dots—Emerging light emitters for bioimaging, cancer therapy and optoelectronics
Hola, K., Zhang, Y., Wang, Y., Giannelis, E. P., Zboril, R., & Rogach, A. L. (2014) · Nano Today · doi:10.1016/j.nantod.2014.09.004 · Cited by 992
Clearance Pathways and Tumor Targeting of Imaging Nanoparticles
Yu, M., & Zheng, J. (2015) · ACS Nano · doi:10.1021/acsnano.5b01320 · Cited by 886
Transport and interactions of nanoparticles in the kidneys
Du, B., Yu, M., & Zheng, J. (2018) · Nature Reviews Materials · doi:10.1038/s41578-018-0038-3 · Cited by 649
Xu, M., Qi, Y., Liu, G., Song, Y., Jiang, X., & Du, B. (2023) · ACS Nano · doi:10.1021/acsnano.3c05853 · Cited by 632
Self-citationSelf-targeting fluorescent carbon dots for diagnosis of brain cancer cells.
Zheng, M., Ruan, S., Liu, S., Sun, T., Qu, D., Zhao, H., Xie, Z., Gao, H., Jing, X., & Sun, Z. (2015) · ACS Nano · doi:10.1021/acsnano.5b05575 · Cited by 593
Carbon-based nanomaterials as an emerging platform for theranostics
Patel, K. D., Singh, R. K., & Kim, H.-W. (2019) · Materials Horizons · doi:10.1039/c8mh00966j · Cited by 555
Tyagi, A., Tripathi, K. M., Singh, N., Choudhary, S., & Gupta, R. K. (2016) · RSC Advances · doi:10.1039/c6ra10488f · Cited by 554
The in vitro and in vivo toxicity of graphene quantum dots
Chong, Y., Ma, Y., Shen, H., Tu, X., Zhou, X., Xu, J., Dai, J., Fan, S., & Zhang, Z. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2014.03.021 · Cited by 530
Bao, X., Yuan, Y., Chen, J., Zhang, B., Li, D., Zhou, D., Jing, P., Xu, G., Wang, Y., Holá, K., et al. (2018) · Light: Science & Applications · doi:10.1038/s41377-018-0090-1 · Cited by 445
Versatile Types of Organic/Inorganic Nanohybrids: From Strategic Design to Biomedical Applications
Zhao, N., Yan, L., Zhao, X., Chen, X., Li, A., Zheng, D., Zhou, X., Dai, X., & Xu, F.-J. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00401 · Cited by 429
Self-citationBioimaging based on fluorescent carbon dots
Song, Y., Zhu, S., & Yang, B. (2014) · RSC Advances · doi:10.1039/c3ra47994c · Cited by 414
Biological interactions of carbon-based nanomaterials: From coronation to degradation
Bhattacharya, K., Mukherjee, S. P., Gallud, A., Burkert, S. C., Bistarelli, S., Bellucci, S., Bottini, M., Star, A., & Fadeel, B. (2016) · Nanomedicine: Nanotechnology, Biology and Medicine · doi:10.1016/j.nano.2015.11.011 · Cited by 402
Novel properties and applications of carbon nanodots
Xiao, L., & Sun, H. (2018) · Nanoscale Horizons · doi:10.1039/c8nh00106e · Cited by 359
Toxicity of Nanomaterials: Exposure, Pathways, Assessment, and Recent Advances
Ganguly, P., Breen, A., & Pillai, S. C. (2018) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.8b00068 · Cited by 341
Ge, J., Jia, Q., Liu, W., Lan, M., Zhou, B., Guo, L., Zhou, H., Zhang, H., Wang, Y., Gu, Y., et al. (2016) · Advanced Healthcare Materials · doi:10.1002/adhm.201500720 · Cited by 309
Recent advances in carbon dots for bioimaging applications
Li, H., Yan, X., Kong, D., Jin, R., Sun, C., Du, D., Lin, Y., & Lu, G. (2020) · Nanoscale Horizons · doi:10.1039/c9nh00476a · Cited by 304
Photonic Carbon Dots as an Emerging Nanoagent for Biomedical and Healthcare Applications
Chung, Y. J., Kim, J., & Park, C. B. (2020) · ACS Nano · doi:10.1021/acsnano.0c02114 · Cited by 299
Carbon dots: synthesis, properties and biomedical applications
Ge, G., Li, L., Wang, D., Chen, M., Zeng, Z., Xiong, W., Wu, X., & Guo, C. (2021) · Journal of Materials Chemistry B · doi:10.1039/d1tb01077h · Cited by 293
NIR-responsive carbon dots for efficient photothermal cancer therapy at low power densities
Geng, B., Yang, D., Pan, D., Wang, L., Zheng, F., Shen, W., Zhang, C., & Li, X. (2018) · Carbon · doi:10.1016/j.carbon.2018.03.084 · Cited by 256
Protein nanocages that penetrate airway mucus and tumor tissue
Huang, X., Chisholm, J., Zhuang, J., Xiao, Y., Duncan, G., Chen, X., Suk, J. S., & Hanes, J. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1705407114 · Cited by 131
Self-citation
Metadata
- Authors
- Huang, X., Zhang, F., Zhu, L., Choi, K. Y., Guo, N., Guo, J., Tackett, K., Anilkumar, P., Liu, G., Quan, Q., Choi, H. S., Niu, G., Sun, Y.-P., Lee, S., & Chen, X.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-06-06
- Volume
- 7
- Issue
- 7
- Pages
- 5684-5693
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2000107770
- Cited by
- 418
- References
- 4
- FWCI
- 13.02
- 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
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.