期刊论文详细信息
Micro & nano letters
Ultrasensitive immunosensor for AFP detection based on Cu 2 O to generate electrical signals
article
Chulei Zhao1  Kaihang Cao1  Chaoyun Ma1  Wenjun Li1  Yiju Song1  Xiuwen Qiao1  Chenglin Hong1 
[1] School of Chemical Engineering, Shihezi University
关键词: adsorption;    biochemistry;    gold;    electrochemical sensors;    biosensors;    nanomedicine;    nanosensors;    nanoparticles;    proteins;    nanofabrication;    molecular biophysics;    multi-wall carbon nanotubes;    electrochemistry;    semiconductor materials;    biomedical equipment;    electrochemical activity;    multiwalled carbon nanotubes;    cuprous oxide nanospheres;    electrostatic adsorption;    electrochemical signal;    antialpha-fetoprotein;    optimal conditions;    detection limit;    label-free immunosensor;    ultrasensitive immunosensor;    AFP detection;    electrical signals;    label-free electrochemical immunosensor;    signal amplification strategy;    hydrothermal reaction;    spherical nanoparticles;    carboxylate;    nanogold;    human serum;    Au-C-Cu2O;   
DOI  :  10.1049/mnl.2019.0267
学科分类:计算机科学(综合)
来源: Wiley
PDF
【 摘 要 】

In this experiment, a Cu 2 O spherical nanoparticle was reduced by hydrothermal reaction to prepare a label-free electrochemical immunosensor based on a novel signal amplification strategy. Multi-walled carbon nanotubes are a platform that combines cuprous oxide with carbon nanotubes. Nanogold was modified on the surface of cuprous oxide nanospheres by electrostatic adsorption to further amplify the electrochemical signal and link-supported anti-alpha-fetoprotein (AFP). Under optimal conditions, the proposed immunosensor has a wide linear range from 0.001 to 40 ng/ml, with a detection limit as low as 0.33 pg/ml ( S / N = 3). Furthermore, the proposed label-free immunosensor has been used to determine AFP in human serum with satisfactory results. At the same time, it has good reproducibility, acceptable selectivity and long-term stability, and has broad application prospects in biometric analysis.

【 授权许可】

CC BY|CC BY-ND|CC BY-NC|CC BY-NC-ND   

【 预 览 】
附件列表
Files Size Format View
RO202107100002590ZK.pdf 384KB PDF download
  文献评价指标  
  下载次数:12次 浏览次数:1次