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Construction of a selective electrochemical sensing solid–liquid interface for the selective detection of fluoride ion in water with bis(indolyl)methane-functionalized multi-walled carbon nanotubes 期刊论文
New Journal of Chemistry, 2017, 卷号: 41, 期号: 23, 页码: 14246-14252
Authors:  Ni Y(倪月);  Liu H(刘红);  Xu J(徐健);  Yue Y(岳莹);  Shao SJ(邵士俊);  岳莹;  邵士俊
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Enzyme-free glucose sensor based on heteroatom-enriched activated carbon (HAC) decorated with hedgehog-like NiO nanostructures 期刊论文
Sensors and Actuators B: Chemical, 2017, 卷号: 250, 页码: 491-498
Authors:  Ni Y(倪月);  Xu J(徐健);  Liang Q(梁卿);  Shao SJ(邵士俊);  Shao SJ(邵士俊)
Adobe PDF(2101Kb)  |  Favorite  |  View/Download：200/1  |  Submit date：2017/08/05
Heteroatom-enriched Activated Carbon  Nio Nanostructures  Hydrothermal  Enzyme-free Glucose Detection  
多指标评价甘草质量及指标成分与血清蛋白相互作用研究 学位论文
, 北京: 中国科学院大学, 2016
Authors:  侯嘉
Adobe PDF(3658Kb)  |  Favorite  |  View/Download：201/0  |  Submit date：2016/11/25
甘草  多指标成分  质量评价  牛血清蛋白  荧光光谱  Licorice  Multi-constituents  Quality Evaluation  Bovine Serum Albumin  Fluorescence  
A rapid response“Turn-On”fluorescent probe for nitroreductase detection and its application in hypoxic tumor cell imaging 期刊论文
Analyst, 2015, 卷号: 140, 期号: 2, 页码: 574-581
Authors:  Xu J(徐健);  Sun,Shaobo;  Li Q(李欠);  Yue Y(岳莹);  Li,Yingdong;  Shao SJ(邵士俊);  邵士俊
Adobe PDF(956Kb)  |  Favorite  |  View/Download：156/1  |  Submit date：2015/11/30
水溶性BODIPY类荧光探针分子设计与应用研究 学位论文
, 北京: 中国科学院大学, 2014
Authors:  徐健
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Bodipy  荧光探针  阴离子  活性氧自由基  硝基还原酶  Fluorescent Probe  Anion  Reactive Oxide Species  Nitroreductase  
EVALUATION OF THE QUALITY OF ANGELICA SINENSIS BY HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY 期刊论文
Analytical Letters, 2014, 卷号: 47, 期号: 18, 页码: 2857-2870
Authors:  Wang ZZ(王振忠);  Shao SJ(邵士俊);  Shao SJ(邵士俊)
Adobe PDF(363Kb)  |  Favorite  |  View/Download：109/1  |  Submit date：2015/10/26
Angelica Sinensis  High-performance Liquid Chromatography (Hplc) Fingerprint  High-performance Liquid Chromatography-diode Array Detector-electrospray Ionization Mass Spectrometry (Hplc-dad-esi-ms)  Robust Principal Component Analysis