Quantum spin resonance in engineered proteins for multimodal sensing

量子传感器 荧光 量子 纳米技术 物理 磁共振成像 费斯特共振能量转移 量子点 自旋(空气动力学) 磁场 分子生物物理学 共振(粒子物理) 生物成像 计算机科学 材料科学 多路复用 荧光蛋白 生物分子 灵敏度(控制系统) 分子成像 光散射 散射 化学 光电子学 核磁共振 光学物理学 量子成像 生物系统 生物传感器 功能磁共振成像 分子工程
作者
Gabriel Abrahams,Ana Štuhec,Vincent Spreng,Robin Henry,Idris Kempf,Jessica James,Kirill Sechkar,Scott Stacey,Vicente Trelles-Fernandez,Lewis Antill,Andrew G. York,Jack J. Miller,Maria Ingaramo,Andrew G. York,Jean‐Philippe Tetienne,Harrison Steel
出处
期刊:Nature [Nature Portfolio]
标识
DOI:10.1038/s41586-025-09971-3
摘要

Abstract Sensing technologies that exploit quantum phenomena for measurement are finding increasing applications across materials, physical and biological sciences 1–7 . Until recently, biological candidates for quantum sensors were limited to in vitro systems, had poor sensitivity and were prone to light-induced degradation. These limitations impeded practical biotechnological applications, and high-throughput study that would facilitate their engineering and optimization. We recently developed a class of magneto-sensitive fluorescent proteins including MagLOV, which overcomes many of these challenges 8 . Here we show that through directed evolution, it is possible to engineer these proteins to alter the properties of their response to magnetic fields and radio frequencies. We find that MagLOV exhibits optically detected magnetic resonance in living bacterial cells at room temperature, at sufficiently high signal-to-noise for single-cell detection. These effects are explained through the radical-pair mechanism, which involves the protein backbone and a bound flavin cofactor. Using optically detected magnetic resonance and fluorescence magnetic-field effects, we explore a range of applications, including spatial localization of fluorescence signals using gradient fields (that is, magnetic resonance imaging using a genetically encoded probe), sensing of the molecular microenvironment, multiplexing of bio-imaging and lock-in detection, mitigating typical biological imaging challenges such as light scattering and autofluorescence. Taken together, our results represent a suite of sensing modalities for engineered biological systems, based on and designed around understanding the quantum-mechanical properties of magneto-sensitive fluorescent proteins.
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