The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Carbon-dot-based ratiometric fluorescent sensor for detecting hydrogen sulfide in aqueous media and inside live cells
Abstract
A FRET ratiometric fluorescent sensor was developed for detecting H(2)S in aqueous media and serum, as well as inside live cells. For this sensor, carbon dots serve as the energy donor and also the anchoring site for the probe. This sensor is highly selective and sensitive with a detection limit of 10 nM which is the lowest among fluorescent H(2)S sensors.
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
Principles of Fluorescence Spectroscopy
(2006) · Springer eBooks · doi:10.1007/978-0-387-46312-4 · Cited by 19,339
Fluorescent and colorimetric sensors for detection of lead, cadmium, and mercury ions
Kim, H. N., Ren, W. X., Kim, J. S., & Yoon, J. (2012) · Chem. Soc. Rev. · doi:10.1039/c1cs15245a · Cited by 2,253
Hydrogen sulphide and its therapeutic potential
Szabó, C. (2007) · Nature Reviews Drug Discovery · doi:10.1038/nrd2425 · Cited by 2,038
Hydrogen Sulfide and Cell Signaling
Li, L., Rose, P., & Moore, P. K. (2011) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010510-100505 · Cited by 1,296
Burns, A., Ow, H., & Wiesner, U. (2006) · Chem. Soc. Rev. · doi:10.1039/b600562b · Cited by 849
Reaction-Based Fluorescent Probes for Selective Imaging of Hydrogen Sulfide in Living Cells
Lippert, A. R., New, E. J., & Chang, C. J. (2011) · Journal of the American Chemical Society · doi:10.1021/ja203661j · Cited by 760
Development of a Highly Selective Fluorescence Probe for Hydrogen Sulfide
Sasakura, K., Hanaoka, K., Shibuya, N., Mikami, Y., Kimura, Y., Komatsu, T., Ueno, T., Terai, T., Kimura, H., & Nagano, T. (2011) · Journal of the American Chemical Society · doi:10.1021/ja207851s · Cited by 661
A Fluorescent Probe for Fast and Quantitative Detection of Hydrogen Sulfide in Blood
Peng, H., Cheng, Y., Dai, C., King, A. L., Predmore, B. L., Lefer, D. J., & Wang, B. (2011) · Angewandte Chemie International Edition · doi:10.1002/anie.201104236 · Cited by 637
Yang, Z.-C., Wang, M., Yong, A. M., Wong, S. Y., Zhang, X.-H., Tan, H., Chang, A. Y., Li, X., & Wang, J. (2011) · Chemical Communications · doi:10.1039/c1cc14860e · Cited by 623
Self-citationCapture and Visualization of Hydrogen Sulfide by a Fluorescent Probe
Liu, C., Pan, J., Li, S., Zhao, Y., Wu, L. Y., Berkman, C. E., Whorton, A. R., & Xian, M. (2011) · Angewandte Chemie International Edition · doi:10.1002/anie.201104305 · Cited by 578
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
Ratiometric optical nanoprobes enable accurate molecular detection and imaging
Huang, X., Song, J., Yung, B. C., Huang, X., Xiong, Y., & Chen, X. (2018) · Chemical Society Reviews · doi:10.1039/c7cs00612h · Cited by 820
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
Nanocarbons for Biology and Medicine: Sensing, Imaging, and Drug Delivery
Panwar, N., Soehartono, A. M., Chan, K. K., Zeng, S., Xu, G., Qu, J., Coquet, P., Yong, K.-T., & Chen, X. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00099 · Cited by 555
Polymeric AIE-based nanoprobes for biomedical applications: recent advances and perspectives
Zhang, X., Wang, K., Liu, M., Zhang, X., Tao, L., Chen, Y., & Wei, Y. (2015) · Nanoscale · doi:10.1039/c5nr01444a · Cited by 508
Metadata
- Authors
- Yu, C., Li, X., Zeng, F., Zheng, F., & Wu, S.
- Venue
- Chem. Commun.
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 49
- Issue
- 4
- Pages
- 403-405
- ISSN
- 1359-7345 (ISSN-L)
- 1364-548X
- OpenAlex
- W2155968160
- Cited by
- 455
- References
- 27
- FWCI
- 18.10
- 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-dot-based ratiometric fluorescent sensor for detecting hydrogen sulfide in aqueous media and inside live cells. https://app.cochat.ai/papers/10.1039/c2cc37329g
- The paper
- Yu, C., Li, X., Zeng, F., Zheng, F., & Wu, S. (2013). Carbon-dot-based ratiometric fluorescent sensor for detecting hydrogen sulfide in aqueous media and inside live cells. Chem. Commun. https://doi.org/10.1039/c2cc37329g
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.
