The DOI matches its Crossref record.
Temperature Sensing Using Fluorescent Nanothermometers
Open accessAbstract
Acquiring the temperature of a single living cell is not a trivial task. In this paper, we devise a novel nanothermometer, capable of accurately determining the temperature of solutions as well as biological systems such as HeLa cancer cells. The nanothermometer is based on the temperature-sensitive fluorescence of NaYF(4):Er(3+),Yb(3+) nanoparticles, where the intensity ratio of the green fluorescence bands of the Er(3+) dopant ions ((2)H(11/2) --> (4)I(15/2) and (4)S(3/2) --> (4)I(15/2)) changes with temperature. The nanothermometers were first used to obtain thermal profiles created when heating a colloidal solution of NaYF(4):Er(3+),Yb(3+) nanoparticles in water using a pump-probe experiment. Following incubation of the nanoparticles with HeLa cervical cancer cells and their subsequent uptake, the fluorescent nanothermometers measured the internal temperature of the living cell from 25 degrees C to its thermally induced death at 45 degrees C.
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
Cited by
Upconversion Nanoparticles: Design, Nanochemistry, and Applications in Theranostics
Chen, G., Qiu, H., Prasad, P. N., & Chen, X. (2014) · Chemical Reviews · doi:10.1021/cr400425h · Cited by 2,699
Luminescent probes and sensors for temperature
Wang, X.-D., Wolfbeis, O. S., & Meier, R. J. (2013) · Chemical Society Reviews · doi:10.1039/c3cs60102a · Cited by 1,647
An overview of nanoparticles commonly used in fluorescent bioimaging
Wolfbeis, O. S. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00392f · Cited by 1,631
A Luminescent Mixed-Lanthanide Metal–Organic Framework Thermometer
Cui, Y., Xu, H., Yue, Y., Guo, Z., Yu, J., Chen, Z., Gao, J., Yang, Y., Qian, G., & Chen, B. (2012) · Journal of the American Chemical Society · doi:10.1021/ja2108036 · Cited by 1,161
High-Precision Nanoscale Temperature Sensing Using Single Defects in Diamond
Neumann, P., Jakobi, I., Dolde, F., Burk, C., Reuter, R., Waldherr, G., Honert, J., Wolf, T., Brunner, A., Shim, J. H., et al. (2013) · Nano Letters · doi:10.1021/nl401216y · Cited by 785
A hydrothermal route to water-stable luminescent carbon dots as nanosensors for pH and temperature
Wang, C., Xu, Z., Cheng, H., Lin, H., Humphrey, M. G., & Zhang, C. (2015) · Carbon · doi:10.1016/j.carbon.2014.10.035 · Cited by 477
Mapping Intracellular Temperature Using Green Fluorescent Protein
Donner, J. S., Thompson, S. A., Kreuzer, M. P., Baffou, G., & Quidant, R. (2012) · Nano Letters · doi:10.1021/nl300389y · Cited by 441
Subtissue Thermal Sensing Based on Neodymium-Doped LaF3Nanoparticles
Rocha, U., Jacinto da Silva, C., Ferreira Silva, W., Guedes, I., Benayas, A., Martínez Maestro, L., Acosta Elias, M., Bovero, E., van Veggel, F. C. J. M., García Solé, J. A., et al. (2013) · ACS Nano · doi:10.1021/nn304373q · Cited by 382
Self-citationIn Vivo Luminescence Nanothermometry: from Materials to Applications
del Rosal, B., Ximendes, E., Rocha, U., & Jaque, D. (2017) · Advanced Optical Materials · doi:10.1002/adom.201600508 · Cited by 331
Self-citationLiu, S., Yan, L., Huang, J., Zhang, Q., & Zhou, B. (2022) · Chemical Society Reviews · doi:10.1039/d1cs00753j · Cited by 298
Ke, G., Wang, C., Ge, Y., Zheng, N., Zhu, Z., & Yang, C. J. (2012) · Journal of the American Chemical Society · doi:10.1021/ja3082439 · Cited by 196
Mohammed, L. J., & Omer, K. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-59958-5 · Cited by 154
Petrini, G., Moreva, E., Bernardi, E., Traina, P., Tomagra, G., Carabelli, V., Degiovanni, I. P., & Genovese, M. (2020) · Advanced Quantum Technologies · doi:10.1002/qute.202000066 · Cited by 63
Guo, J., Zhou, B., Yang, C., Dai, Q., & Kong, L. (2019) · Optics Letters · doi:10.1364/ol.44.005747 · Cited by 44
Development of Technologies for Sensing Ozone in Ambient Air
Ando, M., Biju, V., & Shigeri, Y. (2018) · Analytical Sciences · doi:10.2116/analsci.34.263 · Cited by 32
Metadata
- Authors
- Vetrone, F., Naccache, R., Zamarrón, A., Juarranz de la Fuente, A., Sanz-Rodríguez, F., Martinez Maestro, L., Martín Rodriguez, E., Jaque, D., García Solé, J., & Capobianco, J. A.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-05-04
- Volume
- 4
- Issue
- 6
- Pages
- 3254-3258
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2030395871
- Cited by
- 1,505
- References
- 0
- FWCI
- 22.39
- 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.
