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A highly sensitive and selective nanosensor for near-infrared potassium imaging
Potassium ion (K(+)) concentration fluctuates in various biological processes. A number of K(+) probes have been developed to monitor such fluctuations through optical imaging. However, the currently available K(+) probes are far from being sensitive enough in detecting physiological fluctuations in...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164935/ https://www.ncbi.nlm.nih.gov/pubmed/32494594 http://dx.doi.org/10.1126/sciadv.aax9757 |
Sumario: | Potassium ion (K(+)) concentration fluctuates in various biological processes. A number of K(+) probes have been developed to monitor such fluctuations through optical imaging. However, the currently available K(+) probes are far from being sensitive enough in detecting physiological fluctuations in living animals. Furthermore, the monitoring of deep tissues is not applicable because of short-wavelength excitation prevailingly used so far. Here, we report a highly sensitive and selective nanosensor for near-infrared (NIR) K(+) imaging in living cells and animals. The nanosensor is constructed by encapsulating upconversion nanoparticles (UCNPs) and a commercial K(+) indicator in the hollow cavity of mesoporous silica nanoparticles, followed by coating a K(+)-selective filter membrane. The membrane adsorbs K(+) from the medium and filters out interfering cations. The UCNPs convert NIR to ultraviolet light, which excites the K(+) indicator, thus allowing the detection of the fluctuations of K(+) concentration in cultured cells and intact mouse brains. |
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