Quantum tunnelling-integrated optoplasmonic nanotrap enables conductance visualisation of individual proteins
Biao-Feng Zeng, Zian Wang, Yuxin Yang, Xufei Ma, Liang Xu, Yi Shen, Long Yi, Yizheng Fang, Ye Tian, Zhenrong Zheng, Yudong Cui, Ji Cao, Ge Bai, Weixiang Ye, Pan Wang, Cuifang Kuang, Joshua B. Edel, Aleksandar P. Ivanov, Xu Liu, Longhua Tang

TL;DR
The paper introduces a novel optoplasmonic nanotrap platform that enables real-time, single-molecule conductance measurements of proteins, revealing their structural dynamics and electron transfer mechanisms with high spatial and temporal resolution.
Contribution
It presents the QTOP-trap, a new label-free method combining plasmonic trapping and quantum tunnelling to study protein conductance in physiological conditions.
Findings
Achieves sub-3 nm spatial precision.
Provides 10-μs temporal resolution.
Correlates protein structure dynamics with conductance.
Abstract
Biological electron transfer (ET) relies on quantum mechanical tunnelling through a dynamically folded protein. Yet, the spatiotemporal coupling between structural fluctuations and electron flux remains poorly understood, largely due to limitations in existing experimental techniques, such as ensemble averaging and non-physiological operating conditions. Here, we introduce a quantum tunnelling-integrated optoplasmonic nanotrap (QTOP-trap), an optoelectronic platform that combines plasmonic optical trapping with real-time quantum tunnelling measurements. This label-free approach enables single-molecule resolution of protein conductance in physiological electrolytes, achieving sub-3 nm spatial precision and 10-{\mu}s temporal resolution. By synchronising optoelectronic measurements, QTOP-trap resolves protein-specific conductance signatures and directly correlates tertiary structure…
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Taxonomy
TopicsMolecular Junctions and Nanostructures · Mechanical and Optical Resonators · Strong Light-Matter Interactions
