The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Tunable Ratiometric pH Sensor Based on Carbon Nanodots for the Quantitative Measurement of the Intracellular pH of Whole Cells
Abstract
The whole picture: Carbon nanodots labeled with two fluorescent dyes have been developed as a tunable ratiometric pH sensor to measure intracellular pH. The nanosensor shows good biocompatibility and cellular dispersibility. Quantitative determinations on intact HeLa cells and pH fluctuations associated with oxidative stress were performed.
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
Direct imaging of single-walled carbon nanotubes in cells
Porter, A. E., Gass, M., Muller, K., Skepper, J. N., Midgley, P. A., & Welland, M. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.347 · Cited by 564
Cited by
Diverse Applications of Nanomedicine
Pelaz, B., Alexiou, C., Alvarez-Puebla, R. A., Alves, F., Andrews, A. M., Ashraf, S., Balogh, L. P., Ballerini, L., Bestetti, A., Brendel, C., et al. (2017) · ACS Nano · doi:10.1021/acsnano.6b06040 · Cited by 1,350
Song, Y., Zhu, S., Zhang, S., Fu, Y., Wang, L., Zhao, X., & Yang, B. (2015) · Journal of Materials Chemistry C · doi:10.1039/c5tc00813a · Cited by 803
Fluorescence imaging of pathophysiological microenvironments
Wang, S., Ren, W. X., Hou, J.-T., Won, M., An, J., Chen, X., Shu, J., & Kim, J. S. (2021) · Chemical Society Reviews · doi:10.1039/d1cs00083g · Cited by 568
Advances in targeting the folate receptor in the treatment/imaging of cancers
Fernández, M., Javaid, F., & Chudasama, V. (2018) · Chemical Science · doi:10.1039/c7sc04004k · Cited by 539
Qian, Z., Ma, J., Shan, X., Feng, H., Shao, L., & Chen, J. (2014) · Chemistry – A European Journal · doi:10.1002/chem.201304374 · Cited by 486
Metadata
- Authors
- Shi, W., Li, X., & Ma, H.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2012-05-29
- Volume
- 51
- Issue
- 26
- Pages
- 6432-6435
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2132482076
- Cited by
- 468
- References
- 1
- 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: A Tunable Ratiometric pH Sensor Based on Carbon Nanodots for the Quantitative Measurement of the Intracellular pH of Whole Cells. https://app.cochat.ai/papers/10.1002/anie.201202533
- The paper
- Shi, W., Li, X., & Ma, H. (2012). A Tunable Ratiometric pH Sensor Based on Carbon Nanodots for the Quantitative Measurement of the Intracellular pH of Whole Cells. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201202533
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.
