4.7 Article

Biosensors exploiting unconventional platforms: The case of plasmonic light-diffusing fibers

期刊

SENSORS AND ACTUATORS B-CHEMICAL
卷 337, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2021.129771

关键词

Biosensors; Light-diffusing fiber (LDF); Surface plasmon resonance (SPR); Optical fiber biosensors; Immunoglobulin G (IgG); C-reactive protein (CRP); SPR curve

向作者/读者索取更多资源

In this study, an unconventional light-diffusing fiber (LDF) plasmonic platform was used to efficiently monitor a bio-interaction. The surface plasmon resonance (SPR)-LDF sensor showed good performance in detecting the interaction between immunoglobulin G (IgG) and anti-IgG, as well as detecting C-reactive protein (CRP) in human serum. The innovative data analysis approach for resonance wavelength extraction demonstrated the potential of the LDF platform for SPR-based biosensors.
In this work, an unconventional light-diffusing fiber (LDF) plasmonic platform is exploited to efficiently monitor a bio-interaction. The surface plasmon resonance (SPR)-LDF sensor is used to detect the immunoglobulin G (IgG)/anti-IgG interaction as exemplifying bioassay. The IgG bioreceptor was deposited on the gold surface of the SPR-LDF platform, and the biological target was transported through a customized thermo-stabilized flow cell by means of a buffer fluid. Moreover, to test the usability of the proposed SPR-LDF biosensor also for immunosensing in complex matrices, a second assay was conducted by immobilizing anti-C-reactive protein (CRP) and detecting different concentrations of CRP in human serum. An innovative data analysis approach for the extraction of the best value of the resonance wavelength was developed and applied. The obtained results reveal that the unconventional platform represented by the LDF can be successfully exploited for the implementation of SPR-based biosensors with very good performances, also when compared to more common SPR systems.

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