4.8 Article

Compact quantitative optic fiber-based immunoarray biosensor for rapid detection of small analytes

期刊

BIOSENSORS & BIOELECTRONICS
卷 26, 期 1, 页码 16-22

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2010.04.044

关键词

Immunosensor; Array; Fluorescence; Small analyte; Quantitative detection

资金

  1. State Key Joint Laboratory of Environment Simulation and Pollution Control [09Z01ESPCT]
  2. Postdoctor Science Foundation [20080440035]
  3. Programme of Introducing Talents of Discipline to Universities (the 111 Project)

向作者/读者索取更多资源

Immunoarrays have been proven to be powerful tools for high-throughput analysis of multiple analytes In this paper, a proof-of-concept development of a novel optic fiber-based immunoarray biosensor for the detection of multiple small analytes is presented. This was developed through immobilization of two kinds of hapten conjugates. MC-LR-OVA and NB-OVA, onto the same fiber optic probe The technique is significantly different from conventional immunoarray sensors. Microcystin-LR (MC-LR) and trinitrotoluene (TNT) could be detected simultaneously and specifically within an analysis time of about 10 min for each assay cycle. The limits of detection for MC-LR and TNT were 0.04 mu g/L and 009 mg/L, respectively Good regeneration performance, binding properties, and robustness of the sensor surface of the proposed immunoarray biosensor ensure the cost-effective and accurate measurement of small analytes The change in concentration of the hapten conjugates immobilized onto the sensor surface was also proven to have no significant effection on the performance of immunoarray sensor, which is essential to the application of the immunoarray in real samples detection. This compact and portable quantitative immunoarray provides an excellent multiple assay platform for clinical and environmental samples. Crown Copyright (C) 2010 Published by 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

4.8
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