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A Self-Reference Interference Sensor Based on Coherence Multiplexing

delete2022-03-23
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OA
AI
沈
沈英 (Ying Shen)
Z
Zeyu Huang
F
Feng Huang
何
何永红 (Yonghong He)
Z
Ziling Ye
H
Hongjian Zhang
郭翠霞 封面图
郭翠霞 (Cuixia Guo) *
DOI:10.3389/fchem.2022.880081delete
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摘要

摘要

En 中文
Interferometry has been widely used in biosensing due to its ability to acquire molecular affinity and kinetics in real-time. However, interferometric-based sensors are susceptible to environmental disturbances, including temperature and non-specific binding of target molecules, which reduces their detection robustness. To address this shortcoming, this paper proposes a self-referencing interference sensor based on coherence multiplexing to resist environmental disturbances. The proposed sensor can address temperature and non-specific binding, but it is not limited only to these types of disturbances. In the proposed sensor design, each sensor signal is encoded using a specific optical path difference determined by the optical thickness of a sensor chip. In addition, two sensor signals for disturbances tracking and biomolecule detection are detected simultaneously without additional cost to the second spectrometer and then differenced to achieve real-time self-reference. The temperature fluctuations experiments and specific binding experiments of protein A to IgG are performed to verify the performance of the proposed sensor. The results demonstrate that the proposed sensor can eliminate non-specific binding and temperature disturbances in real-time during biomolecule detection, achieving higher detection robustness. The proposed sensor is suitable for applications that require large-scale testing of biomolecular interactions, such as drug screening.
Keyword:
phase-sensitive interferometry
biosensing
differential measurement
biomolecular interaction
label-free detection
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期刊

Frontiers in Chemistry 封面图
Frontiers in Chemistry
IF:
4.2
论文数:
8.4K
被引数:
3.2W

机构

T
Tsinghua Shenzhen International Graduate School
学者数:
6.8K
论文数: 4.9K
被引数: 9
F
fuzhou university
学者数:
3.3W
论文数: 2.1W
被引数: 31
引用论文

引用论文

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