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A highly sensitive and selective nanosensor for near-infrared potassium imaging | |
2020-04 | |
Source Publication | SCIENCE ADVANCES
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ISSN | 2375-2548 |
Volume | 6Issue:16 |
Status | 已发表 |
DOI | 10.1126/sciadv.aax9757 |
Abstract | 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. |
URL | 查看原文 |
Indexed By | SCI ; SCIE ; EI |
Funding Project | Young Elite Scientists Sponsorship Program by the China Association for Science and Technology[YESS20160052] ; Key Research Program of Frontier Sciences of the Chinese Academy of Sciences[QYZDY-SSW-SMC028] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDBS01000000] ; Shanghai Municipal Science and Technology Major Project[18JC1410100][2018SHZDZX05] ; National Natural Science Foundation of China[31325011][51725202][31771144][51502326][31600861] ; Guangdong Key Basic Research Grant[2018B030332001] |
WOS Research Area | Science & Technology - Other Topics |
WOS Subject | Multidisciplinary Sciences |
WOS ID | WOS:000528276800006 |
Publisher | AMER ASSOC ADVANCEMENT SCIENCE |
EI Accession Number | 20201708546537 |
EI Keywords | Animals ; Nanoparticles ; Nanosensors ; Potassium ; Probes ; Silica ; Silica nanoparticles |
EI Classification Number | Alkali Metals:549.1 ; Nanotechnology:761 ; Solid State Physics:933 |
WOS Keyword | UP-CONVERSION NANOPARTICLES ; IN-VIVO ; NANOCRYSTALS ; RESONANCE ; CHANNELS ; SENSOR |
Original Document Type | Article |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/120876 |
Collection | 生命科学与技术学院_特聘教授组_熊志奇组 生命科学与技术学院_特聘教授组_杜久林组 物质科学与技术学院_特聘教授组_施剑林组 |
Corresponding Author | Xiong, Zhiqi; Bu, Wenbo; Du, Jiulin; Shi, Jianlin |
Affiliation | 1.Chinese Acad Sci, Shanghai Inst Ceram, State Key Lab High Performance Ceram & Superfine, Shanghai 200050, Peoples R China 2.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, State Key Lab Neurosci, Inst Neurosci, Shanghai 200031, Peoples R China 3.Seoul Natl Univ, Dept Chem, Seoul 08826, South Korea 4.Univ Chinese Acad Sci, 19A Yu Quan Rd, Beijing 100049, Peoples R China 5.Shenzhen Univ, Brain Dis & Cognit Sci Res Ctr, Shenzhen Key Lab Affect & Social Cognit Sci, Shenzhen 518060, Peoples R China 6.Shenzhen Inst Neurosci, Shenzhen 518057, Peoples R China 7.Guangdong Hong Kong Macao Greater Bay Area Ctr Br, Guangzhou 510515, Peoples R China 8.ShanghaiTech Univ, 319 Yue Yang Rd, Shanghai 200031, Peoples R China 9.East China Normal Univ, Sch Chem & Mol Engn, Shanghai Key Lab Green Chem & Chem Proc, Shanghai 200062, Peoples R China |
Corresponding Author Affilication | ShanghaiTech University |
Recommended Citation GB/T 7714 | Liu, Jianan,Pan, Limin,Shang, Chunfeng,et al. A highly sensitive and selective nanosensor for near-infrared potassium imaging[J]. SCIENCE ADVANCES,2020,6(16). |
APA | Liu, Jianan.,Pan, Limin.,Shang, Chunfeng.,Lu, Bin.,Wu, Rongjie.,...&Shi, Jianlin.(2020).A highly sensitive and selective nanosensor for near-infrared potassium imaging.SCIENCE ADVANCES,6(16). |
MLA | Liu, Jianan,et al."A highly sensitive and selective nanosensor for near-infrared potassium imaging".SCIENCE ADVANCES 6.16(2020). |
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