4.7 Article

Separable detecting of Escherichia coli O157H:H7 by a giant magneto-resistance-based bio-sensing system

期刊

SENSORS AND ACTUATORS B-CHEMICAL
卷 234, 期 -, 页码 485-492

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2016.04.183

关键词

Escherichia coli O157H:H7; Immune reaction; GMR; Dynabeads; Superparamagnetism

资金

  1. National Natural Science Foundation of China [61273065]
  2. National Science and Technology Support Program [2012BAK08B05]
  3. Natural Science Foundation of Shanghai [13ZR1420800]
  4. Shanghai Jiao Tong University [AgriX2015005]
  5. Joint research center for Advanced Aerospace Technology of Shanghai Academy of Spaceflight Technology-Shanghai Jiao Tong University
  6. Analytical and Testing Center in Shanghai Jiao Tong University
  7. Center for Advanced Electronic Materials and Devices in Shanghai Jiao Tong University

向作者/读者索取更多资源

Herein we report a new separable detection system combining magnetic nanoparticle labels with giant magnetoresistance (GMR) first time developed for Escherichia coli (E. coli) O157H:H7 detection. The GMR sensor fabricated employing standard microfabrication technique, while double antibody sandwich immunoassay and streptavidin-biotin binding assay were employed for immobilizing and labeling E. coli O157H:H7 on Au-film coated glass wafer. The GMR-based immunosensor detected E. coli O157H:H7 antigens at different sample concentrations with a minimum detectable limit of 100 CFU/mL, well accepted for early detection in clinical diagnosis and environmental monitoring. Compared with the recently reported GMR sensor based detection methods, this newly developed separable detection method possesses several advantages such as convenient manipulation, avoid being contaminated and damaged by chemical solution and reusability without cleaning. So it is of considerable interest towards the biomedical application based on known specific binding of target and labels. (C) 2016 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据