Yuhao Dai
Shanghai University
7 Papers
Yuhao Dai is an academic researcher from Shanghai University. The author has contributed to research in topics: Chemistry & Phosphorylation. The author has an hindex of 5, co-authored 7 publications.
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Papers
A catalytic molecule machine-driven biosensing method for amplified electrochemical detection of exosomes.
TL;DR: The proposed "principle-of-proof" biosensing method demonstrates a high specificity even in serum samples and suggests a potential use in clinic, which may provide sufficient information for disease diagnosis, especially early detection and prognosis monitoring of tumors.
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Integration of fluorescence imaging and electrochemical biosensing for both qualitative location and quantitative detection of cancer cells.
TL;DR: Experimental results demonstrate that strong red fluorescence of DNA-AgNCs clearly displays the loading of cancer cells on ITO electrode after dual recognition, and amplified electrochemical signals ofDNA- AgNCs enable improved sensitivity toward quantitative analysis with a detection limit of 3 cells.
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Self-Assembling Peptide-Based Multifunctional Nanofibers for Electrochemical Identification of Breast Cancer Stem-like Cells.
TL;DR: The proposed electrochemical method can not only recognize BCSCs with high selectivity in complex environment but also monitor drug-induced stemness changes with high sensitivity, providing promising prospective clinic applications in the future.
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In Situ Programmable DNA Circuit-Promoted Electrochemical Characterization of Stemlike Phenotype in Breast Cancer.
Ya Cao,Ya Cao,Xiaomeng Yu,Bing Han,Langjian Dong,Jingjing Xu,Yuhao Dai,Genxi Li,Genxi Li,Jing Zhao +9 more
TL;DR: In this paper, an electrochemical phenotyping method was proposed to characterize the stemlike phenotype in breast cancer, offering a low-cost but robust choice other than the highly expensive and experience-dependent flow cytometry.
35
Recent advances in nanomaterial-enhanced biosensing methods for hepatocellular carcinoma diagnosis
TL;DR: An overview of recent advances in the field of nanomaterials-enhanced biosensing methods for HCC diagnosis is provided by highlighting a number of representative works, including nucleic acid, protein, HCC cells and cell-derived exosomes.
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