4.8 Article

Ultrasensitive label-free optical microfiber coupler biosensor for detection of cardiac troponin I based on interference turning point effect

期刊

BIOSENSORS & BIOELECTRONICS
卷 106, 期 -, 页码 99-104

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2018.01.061

关键词

Optical microfiber coupler; Biosensor; Dispersion turning point; Cardiac troponin I; Ultrasensitivity; Regeneration

资金

  1. China-Israel International Science and Technology Cooperation Program [2015DFG02620]
  2. Natural Science Foundation of China [61504143, 51505456, 61727813]
  3. National High Technology Development Program of China [2015AA042402]
  4. Technology Development Program of Jilin province [20170414015GH, 20160520097JH]

向作者/读者索取更多资源

Sensitive detection of cardiac biomarkers is critical for clinical diagnostics of myocardial infarction (MI) while such detection is quite challenging due to the ultra-low concentration of cardiac biomarkers. In this work, a label-free immunosensor based on optical microfiber coupler (OMC) has been developed for the ultrasensitive detection of cardiac troponin I (cTnI), a selective and highly sensitive biomarker of acute myocardial infarction (AMI). CTnI monoclonal antibodies were immobilized on the surface of the fiber through polyelectrolyte layer using layer-by-layer deposition technique. For refractive index sensing characterization, an ultra-high sensitivity of 91777.9 nm/RIU was achieved when the OMC works around the dispersion turning point, which is the highest experimental demonstration in the field of fiber-optic evanescent biosensors. For biosensing, the immunosensor with good specificity showed a linear wavelength shift in the range of 2-10 fg/mL and an ultra-low detection limit of 2 fg/mL. Such immunosensors have huge application potential for the detection of cardiac biomarkers of myocardial infarction due to simple detection scheme, quick response time, ease of handling and miniaturation.

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