8 Papers
13 Citations
Fang Hu is an academic researcher from China Pharmaceutical University. The author has contributed to research in topics: Biosensor & Chemistry. The author has an hindex of 5, co-authored 8 publications.
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Papers
A fluorescent turn-on probe for nitroreductase imaging in living cells and tissues under hypoxia conditions
TL;DR: A novel turn on fluorescent probe KC-NTR is developed that can be transformed into the fluorescent compound KC-2 in the presence of NADH via the cascade cyclization reaction within 20 min and successfully employed in imaging living HepG2 cells and tumor tissues under hypoxia conditions with low cytotoxicity.
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An electrochemical biosensor for sensitive detection of microRNAs based on target-recycled non-enzymatic amplification
TL;DR: In this paper, a simple, economic, and label-free electrochemical biosensor was developed for highly sensitive and selective miR-21 detection based on Fe(CN)63−/Fe(CN )64− electrochemical signal, which relies on DNA structures conjugating with carboxyl multi-wall carbon nanotubes (MWCNTs-COOH)-modified glassy carbon electrode (GCE).
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Ferrocene-labeled and purification-free electrochemical biosensor based on ligase chain reaction for ultrasensitive single nucleotide polymorphism detection.
TL;DR: The biosensor under development was found to be economical, highly-sensitive, and exceptionally selective for detection of SNPs, and as well as extending the versatile applications of LCR to offer great potential for diagnosis and individual clinical regimens.
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Ligase chain reaction-based electrochemical biosensor for the ultrasensitive and specific detection of single nucleotide polymorphisms
Wancun Zhang,Fang Hu,Xianwei Zhang,Wei Meng,Yaodong Zhang,Yinsen Song,Huanmin Wang,Peng Wang,Yueqing Gu +8 more
TL;DR: In this paper, a simple, robust, label-free electrochemical biosensor based on the ligase chain reaction (LCR) was developed for the highly sensitive and selective detection of single nucleotide polymorphisms (SNPs) using Fe(CN)63−/Fe(CN )64− as a redox indicator.
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Highly specific real-time quantification of diverse microRNAs in human samples using universal primer set frame.
TL;DR: The developed assays hold a great promise for further application in biomedical research and early clinical diagnosis, and the primer set frame can be universally used in any miRNA investigation.
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