A highly sensitive and selective nanosensor for near-infrared potassium imaging
文献类型:期刊论文
作者 | Liu, JN; Pan, LM; Shang, CF; Lu, B; Wu, RJ; Feng, Y; Chen, WY; Zhang, RW; Bu, JW; Xiong, ZQ |
刊名 | SCIENCE ADVANCES |
出版日期 | 2020-04-01 |
期号 | 16 |
ISSN号 | 2375-2548 |
DOI | 10.1126/sciadv.aax9757 |
文献子类 | Article |
英文摘要 | Potassium ion (K+) concentration fluctuates in various biological processes. A number of r probes have been developed to monitor such fluctuations through optical imaging. However, the currently available r 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 r from the medium and filters out interfering cations. The UCNPs convert NIR to ultraviolet light, which excites the r indicator, thus allowing the detection of the fluctuations of K+ concentration in cultured cells and intact mouse brains. |
WOS关键词 | UP-CONVERSION NANOPARTICLES ; IN-VIVO ; NANOCRYSTALS ; RESONANCE ; CHANNELS ; SENSOR |
WOS研究方向 | Science & Technology - Other Topics |
语种 | 英语 |
出版者 | AMER ASSOC ADVANCEMENT SCIENCE |
源URL | [http://ir.sic.ac.cn/handle/331005/28165] |
专题 | 中国科学院上海硅酸盐研究所 |
推荐引用方式 GB/T 7714 | Liu, JN,Pan, LM,Shang, CF,et al. A highly sensitive and selective nanosensor for near-infrared potassium imaging[J]. SCIENCE ADVANCES,2020(16). |
APA | Liu, JN.,Pan, LM.,Shang, CF.,Lu, B.,Wu, RJ.,...&Shi, JL.(2020).A highly sensitive and selective nanosensor for near-infrared potassium imaging.SCIENCE ADVANCES(16). |
MLA | Liu, JN,et al."A highly sensitive and selective nanosensor for near-infrared potassium imaging".SCIENCE ADVANCES .16(2020). |
入库方式: OAI收割
来源:上海硅酸盐研究所
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