The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Engineering carbon quantum dots for photomediated theranostics
Abstract
Carbon quantum dots (CQDs) have emerged as potential alternatives to classical metal-based semiconductor quantum dots (QDs) due to the abundance of their precursors, their ease of synthesis, high biocompatibility, low cost, and particularly their strong photoresponsiveness, tunability, and stability. Light is a versatile, tunable stimulus that can provide spatiotemporal control. Its interaction with CQDs elicits interesting responses such as wavelength-dependent optical emissions, charge/electron transfer, and heat generation, processes that are suitable for a range of photomediated bioapplications. The carbogenic core and surface characteristics of CQDs can be tuned through versatile engineering strategies to endow specific optical and physicochemical properties, while conjugation with specific moieties can enable the design of targeted probes. Fundamental approaches to tune the responses of CQDs to photo-interactions and the design of bionanoprobes are presented, which enable biomedical applications involving diagnostics and therapeutics. These strategies represent comprehensive platforms for engineering multifunctional probes for nanomedicine, and the design of QD probes with a range of metal-free and emerging 2D materials.
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
Designing materials for biology and medicine
Langer, R., & Tirrell, D. A. (2004) · Nature · doi:10.1038/nature02388 · Cited by 3,198
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
An overview of nanoparticles commonly used in fluorescent bioimaging
Wolfbeis, O. S. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00392f · Cited by 1,631
Biju, V. (2014) · Chem. Soc. Rev. · doi:10.1039/c3cs60273g · Cited by 1,186
Multimodality Imaging Probes: Design and Challenges
Louie, A. (2010) · Chemical Reviews · doi:10.1021/cr9003538 · Cited by 1,044
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-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 dots: Surface engineering and applications
Liu, W., Li, C., Ren, Y., Sun, X., Pan, W., Li, Y., Wang, J., & Wang, W. (2016) · Journal of Materials Chemistry B · doi:10.1039/c6tb00976j · Cited by 389
Cited by
Insight into the design of defect electrocatalysts: From electronic structure to adsorption energy
Xie, C., Yan, D., Chen, W., Zou, Y., Chen, R., Zang, S., Wang, Y., Yao, X., & Wang, S. (2019) · Materials Today · doi:10.1016/j.mattod.2019.05.021 · Cited by 490
Zheng, J., Fan, R., Wu, H., Yao, H., Yan, Y., Liu, J., Ran, L., Sun, Z., Yi, L., Dang, L., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09601-3 · Cited by 414
Yang, M., Gao, M., Hong, M., & Ho, G. W. (2018) · Advanced Materials · doi:10.1002/adma.201802894 · Cited by 389
Jiang, K., Gao, X., Feng, X., Wang, Y., Li, Z., & Lin, H. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.201911342 · Cited by 300
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
Metadata
- Authors
- Hassan, M., Gomes, V. G., Dehghani, A., & Ardekani, S. M.
- Venue
- Nano Research
- Publisher
- Tsinghua University Press
- Published
- 2017-08-17
- Volume
- 11
- Issue
- 1
- Pages
- 1-41
- ISSN
- 1998-0000 (ISSN-L)
- 1998-0124
- OpenAlex
- W2748641198
- Cited by
- 220
- References
- 8
- FWCI
- 14.34
- 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: Engineering carbon quantum dots for photomediated theranostics. https://app.cochat.ai/papers/10.1007/s12274-017-1616-1
- The paper
- Hassan, M., Gomes, V. G., Dehghani, A., & Ardekani, S. M. (2018). Engineering carbon quantum dots for photomediated theranostics. Nano Research. https://doi.org/10.1007/s12274-017-1616-1
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.
