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Boronate affinity material-based sensors for recognition and detection of glycoproteins 期刊论文
ANALYST, 2020, 卷号: 145, 期号: 23, 页码: 7511-7527
作者:  Qin, Xiaoxiao;  Zhang, Zhong;  Shao, Hongjun;  Zhang, Runguang;  Chen, Lingxin;  Yang, Xingbin
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SERS-active Au@Ag core-shell nanorod (Au@AgNR) tags for ultrasensitive bacteria detection and antibiotic-susceptibility testing 期刊论文
TALANTA, 2020, 卷号: 220, 页码: 8
作者:  Bi, Liyan;  Wang, Xiao;  Cao, Xiaowei;  Liu, Luying;  Bai, Congcong;  Zheng, Qingyin;  Choo, Jaebum;  Chen, Lingxin
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Au@AgNR  SERS nanotag  Antibiotic susceptibility testing  Minimum inhibitory concentration  Principal component analysis  
A near-infrared fluorescent probe for evaluating glutamyl transpeptidase fluctuation in idiopathic pulmonary fibrosis cell and mice models 期刊论文
SENSORS AND ACTUATORS B-CHEMICAL, 2020, 卷号: 322, 页码: 8
作者:  He, Na;  Wang, Yude;  Huang, Yan;  Wang, Xiaoyan;  Chen, Lingxin;  Lv, Changjun
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Fluorescent probe  Near-infrared  Glutamyl transpeptidase  Idiopathic pulmonary fibrosis  Fluorescence imaging  
Highly sensitive visual detection of nucleic acid based on a universal strand exchange amplification coupled with lateral flow assay strip 期刊论文
TALANTA, 2020, 卷号: 216, 页码: 7
作者:  Wang, Xiaokun;  Wang, Xiudan;  Shi, Chao;  Ma, Cuiping;  Chen, Lingxin
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Lateral flow biosensor  Isothermal amplification  Low resource setting  Nucleic acid testing  
Human impacts on polycyclic aromatic hydrocarbon distribution in Chinese intertidal zones 期刊论文
NATURE SUSTAINABILITY, 2020, 页码: 10
作者:  Lv, Min;  Luan, Xiaolin;  Liao, Chunyang;  Wang, Dongqi;  Liu, Dongyan;  Zhang, Gan;  Jiang, Guibin;  Chen, Lingxin
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A Cost-Effective In Situ Zooplankton Monitoring System Based on Novel Illumination Optimization 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 12, 页码: 21
作者:  Du, Zhiqiang;  Xia, Chunlei;  Fu, Longwen;  Zhang, Nan;  Li, Bowei;  Song, Jinming;  Chen, Lingxin
浏览  |  Adobe PDF(6168Kb)  |  收藏  |  浏览/下载:526/179  |  提交时间:2021/06/21
zooplankton monitoring  microscopic imaging  dark-field imaging  illumination optimization  genetic algorithm