The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Carbon dots as versatile nanoarchitectures for the treatment of neurological disorders and their theranostic applications: A review
Abstract
The development of novel methods plays a fundamental role in early diagnosis and controlling of neurological disorders (NDs). Blood-brain barrier (BBB) is the most challenging barrier for the development of neuro drug delivery systems due to its inhibiting ability to enter drugs and agents into central nervous system (CNS). Carbon dots (CDs) have shown to be very promising and outstanding agents for various biomedical applications (bio imaging studies, treatment of NDs and brain tumors). They exhibit remarkable properties such as biocompatibility, small size (less than 10 nm, enabling penetration into BBB), tunable optical properties, photostability and simple synthetic procedures, allowing them to act as ideal candidates in various fields of science. Therefore, the objective of this review is to overview the recent studies on CDs for the development of neuro drug delivery systems to reach CNS via crossing of BBB. Primarily, this review briefly outlines the unique optical properties and toxicity of CDs. The development of novel neuro drug delivery systems for various neurological disorders using CDs as carriers is described. This review also covers the potential applications of CDs in brain tumors imaging and treatment of neurodegenerative diseases. Finally, the sensing applications and future prospects of CDs are summarized.
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
Autophagy-Independent Functions of the Autophagy Machinery
Galluzzi, L., & Green, D. R. (2019) · Cell · doi:10.1016/j.cell.2019.05.026 · Cited by 863
Crossing the blood-brain barrier with nanoparticles
Zhou, Y., Peng, Z., Seven, E. S., & Leblanc, R. M. (2018) · Journal of Controlled Release · doi:10.1016/j.jconrel.2017.12.015 · Cited by 837
Dai, E., Han, L., Liu, J., Xie, Y., Kroemer, G., Klionsky, D. J., Zeh, H. J., Kang, R., Wang, J., & Tang, D. (2020) · Autophagy · doi:10.1080/15548627.2020.1714209 · Cited by 613
Self-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
Graphene quantum dots prevent α-synucleinopathy in Parkinson’s disease
Kim, D., Yoo, J. M., Hwang, H., Lee, J., Lee, S. H., Yun, S. P., Park, M. J., Lee, M., Choi, S., Kwon, S. H., et al. (2018) · Nature Nanotechnology · doi:10.1038/s41565-018-0179-y · Cited by 455
Graphene quantum dots conjugated neuroprotective peptide improve learning and memory capability
Xiao, S., Zhou, D., Luan, P., Gu, B., Feng, L., Fan, S., Liao, W., Fang, W., Yang, L., Tao, E., et al. (2016) · Biomaterials · doi:10.1016/j.biomaterials.2016.08.021 · Cited by 169
Autophagy in hepatic adaptation to stress
Hazari, Y., Bravo-San Pedro, J. M., Hetz, C., Galluzzi, L., & Kroemer, G. (2020) · Journal of Hepatology · doi:10.1016/j.jhep.2019.08.026 · Cited by 151
Rodriguez-Ruiz, M. E., Buqué, A., Hensler, M., Chen, J., Bloy, N., Petroni, G., Sato, A., Yamazaki, T., Fucikova, J., & Galluzzi, L. (2019) · OncoImmunology · doi:10.1080/2162402x.2019.1655964 · Cited by 147
Mars, A., Hamami, M., Bechnak, L., Patra, D., & Raouafi, N. (2018) · Analytica Chimica Acta · doi:10.1016/j.aca.2018.06.075 · Cited by 127
Cited by
The blood–brain barrier: Structure, regulation and drug delivery
Wu, D., Chen, Q., Chen, X., Han, F., Chen, Z., & Wang, Y. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01481-w · Cited by 1,906
Yusuf, V. F., Malek, N. I., & Kailasa, S. K. (2022) · ACS Omega · doi:10.1021/acsomega.2c05310 · Cited by 894
Self-citationHuang, Y., Guo, X., Wu, Y., Chen, X., Feng, L., Xie, N., & Shen, G. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01745-z · Cited by 490
Metadata
- Authors
- Ashrafizadeh, M., Mohammadinejad, R., Kailasa, S. K., Ahmadi, Z., Afshar, E. G., & Pardakhty, A.
- Venue
- Advances in Colloid and Interface Science
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 278
- Pages
- 102123
- ISSN
- 0001-8686 (ISSN-L)
- OpenAlex
- W3005642348
- Cited by
- 181
- References
- 9
- FWCI
- 10.91
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Carbon dots as versatile nanoarchitectures for the treatment of neurological disorders and their theranostic applications: A review. https://app.cochat.ai/papers/10.1016/j.cis.2020.102123
- The paper
- Ashrafizadeh, M., Mohammadinejad, R., Kailasa, S. K., Ahmadi, Z., Afshar, E. G., & Pardakhty, A. (2020). Carbon dots as versatile nanoarchitectures for the treatment of neurological disorders and their theranostic applications: A review. Advances in Colloid and Interface Science. https://doi.org/10.1016/j.cis.2020.102123
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.
