High-throughput imaging surface plasmon resonance biosensing based on ultrafast two-point spectral-dip tracking scheme

Abstract

Wavelength interrogation surface plasmon resonance imaging (λSPRi) has potential in detecting 2-dimensional (2D) sensor array sites, but the resonance wavelength imaging rate limits the application of detecting biomolecular binding process in real time. In this paper, we have successfully demonstrated an ultrafast λSPRi biosensor system. The key feature is a two-point tracking algorithm that drives the liquid crystal tunable filter (LCTF) to achieve fast-tracking of the resonance wavelength movement caused by the binding of target molecules with the probe molecules on the sensing surface. The resonance wavelength measurement time is within 0.25s. To date, this is the fastest speed ever reported in λSPRi. Experiment results show that the sensitivity and dynamic are 2.4 × 10−6 RIU and 4.6 × 10−2 RIU, respectively. In addition, we have also demonstrated that the system has the capability of performing fast high-throughput detection of biomolecular interactions, which confirms that this fast real-time detecting approach is most suitable for high-throughput and label-free biosensing applications.

Publication DOI: https://doi.org/10.1364/OE.396656
Divisions: College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
College of Engineering & Physical Sciences
Funding Information: National Key Research and Development Program of China (2017YFB0403804); Science, Technology and Innovation Commission of Shenzhen Municipality (CYJ20180305124754860, JCYJ20180228162956597); Guangdong Science and Technology Department (2017B020210006, 201
Additional Information: © 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Uncontrolled Keywords: Atomic and Molecular Physics, and Optics
Publication ISSN: 1094-4087
Last Modified: 27 Jun 2024 10:28
Date Deposited: 20 Jul 2020 07:56
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.osa ... =oe-28-14-20624 (Publisher URL)
PURE Output Type: Article
Published Date: 2020-06-26
Accepted Date: 2020-06-14
Authors: Zeng, Youjun
Wang, Xueliang
Zhou, Jie
Miyan, Ruibiao
Qu, Junle
Ho, Ho Pui
Zhou, Kaiming (ORCID Profile 0000-0002-6011-1912)
Gao, Bruce Zhi
Chen, Jiajie
Shao, Yonghong

Download

[img]

Version: Published Version

License: ["licenses_description_other" not defined]

| Preview

Export / Share Citation


Statistics

Additional statistics for this record