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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 |
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author | Liu, Jianan Pan, Limin Shang, Chunfeng Lu, Bin Wu, Rongjie Feng, Yun Chen, Weiyu Zhang, Rongwei Bu, Jiwen Xiong, Zhiqi Bu, Wenbo Du, Jiulin Shi, Jianlin |
author_facet | Liu, Jianan Pan, Limin Shang, Chunfeng Lu, Bin Wu, Rongjie Feng, Yun Chen, Weiyu Zhang, Rongwei Bu, Jiwen Xiong, Zhiqi Bu, Wenbo Du, Jiulin Shi, Jianlin |
author_sort | Liu, Jianan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7164935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-71649352020-06-02 A highly sensitive and selective nanosensor for near-infrared potassium imaging Liu, Jianan Pan, Limin Shang, Chunfeng Lu, Bin Wu, Rongjie Feng, Yun Chen, Weiyu Zhang, Rongwei Bu, Jiwen Xiong, Zhiqi Bu, Wenbo Du, Jiulin Shi, Jianlin Sci Adv Research Articles 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. American Association for the Advancement of Science 2020-04-17 /pmc/articles/PMC7164935/ /pubmed/32494594 http://dx.doi.org/10.1126/sciadv.aax9757 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Liu, Jianan Pan, Limin Shang, Chunfeng Lu, Bin Wu, Rongjie Feng, Yun Chen, Weiyu Zhang, Rongwei Bu, Jiwen Xiong, Zhiqi Bu, Wenbo Du, Jiulin Shi, Jianlin A highly sensitive and selective nanosensor for near-infrared potassium imaging |
title | A highly sensitive and selective nanosensor for near-infrared potassium imaging |
title_full | A highly sensitive and selective nanosensor for near-infrared potassium imaging |
title_fullStr | A highly sensitive and selective nanosensor for near-infrared potassium imaging |
title_full_unstemmed | A highly sensitive and selective nanosensor for near-infrared potassium imaging |
title_short | A highly sensitive and selective nanosensor for near-infrared potassium imaging |
title_sort | highly sensitive and selective nanosensor for near-infrared potassium imaging |
topic | Research Articles |
url | 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 |
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