中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
DOI10.1126/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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