Wavelength Division Multiplexing-Based High-Sensitivity Surface Plasmon Resonance Imaging Biosensor for High-Throughput Real-Time Molecular Interaction Analysis

Author:

Niu Zhenxiao12,Du Hao12,Ma Lin12,Zhou Jie34,Yuan Zhengqiang5ORCID,Sun Ronghui5,Liu Guanyu12,Zhang Fangteng12,Zeng Youjun12ORCID

Affiliation:

1. School of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China

2. Guangdong Provincial Key Laboratory of Sensing Physics and System Integration Applications, Guangdong University of Technology, Guangzhou 510006, China

3. School of Laboratory Medicine, Hubei University of Chinese Medicine, 16 Huangjia Lake West Road, Wuhan 430065, China

4. Hubei Shizhen Laboratory, Wuhan 430065, China

5. School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou 510006, China

Abstract

In this study, we report the successful development of a novel high-sensitivity intensity-based Surface Plasmon Resonance imaging (SPRi) biosensor and its application for detecting molecular interactions. By optimizing the excitation wavelength and employing a wavelength division multiplexing (WDM) algorithm, the system can determine the optimal excitation wavelength based on the initial refractive index of the sample without adjusting the incidence angle. The experimental results demonstrate that the refractive index resolution of the system reaches 1.77×10−6 RIU. Moreover, it can obtain the optimal excitation wavelength for samples with an initial refractive index in the range of 1.333 to 1.370 RIU and accurately monitor variations within the range of 0.0037 RIU without adjusting the incidence angle. Additionally, our new SPRi technique realized real-time detection of high-throughput biomolecular binding processes, enabling analysis of kinetic parameters. This research is expected to advance the development of more accurate SPRi technologies for molecular interaction analysis.

Funder

National Natural Science Foundation of China

Guangdong Natural Science Foundation and Province Project

Guangzhou Science and Technology Plan Project

Hubei Province Traditional Chinese Medicine Innovation and Development Joint Foundation

Publisher

MDPI AG

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