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使用强失谐过耦合等离子体纳米天线的超灵敏分子指纹检索

Ultrasensitive Molecular Fingerprint Retrieval Using Strongly Detuned Overcoupled Plasmonic Nanoantennas.

作者信息

Li Dongxiao, Zhou Hong, Chen Ziwei, Ren Zhihao, Xu Cheng, He Xianming, Liu Tao, Chen Xin, Huang He, Lee Chengkuo, Mu Xiaojing

机构信息

Key Laboratory of Optoelectronic Technology & Systems of Ministry of Education, International R & D center of Micro-nano Systems and New Materials Technology, Chongqing University, Chongqing, 400044, China.

Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.

出版信息

Adv Mater. 2023 Aug;35(32):e2301787. doi: 10.1002/adma.202301787. Epub 2023 Jun 1.

Abstract

Tailoring light-matter interactions via plasmonic nanoantennas (PNAs) has emerged as a breakthrough technology for spectroscopic applications. The detuning between molecular vibrations and plasmonic resonances, as a fundamental and inevitable optical phenomenon in light-matter interactions, reduces the interaction efficiency, resulting in a weak molecule sensing signal at the strong detuning state. Here, it is demonstrated that the low interaction efficiency from detuning can be tackled by overcoupled PNAs (OC-PNAs) with a high ratio of the radiative to intrinsic loss rates, which can be used for ultrasensitive spectroscopy at strong plasmonic-molecular detuning. In OC-PNAs, the ultrasensitive molecule signals are achieved within a wavelength detuning range of 248 cm , which is 173 cm wider than previous works. Meanwhile, the OC-PNAs are immune to the distortion of molecular signals and maintain a lineshape consistent with the molecular signature fingerprint. This strategy allows a single device to enhance and capture the full and complex fingerprint vibrations in the mid-infrared range. In the proof-of-concept demonstration, 13 kinds of molecules with some vibration fingerprints strongly detuning by the OC-PNAs are identified with 100% accuracy with the assistance of machine-learning algorithms. This work gains new insights into detuning-state nanophotonics for potential applications including spectroscopy and sensors.

摘要

通过等离子体纳米天线(PNA)来定制光与物质的相互作用已成为光谱应用中的一项突破性技术。分子振动与等离子体共振之间的失谐,作为光与物质相互作用中一种基本且不可避免的光学现象,会降低相互作用效率,导致在强失谐状态下分子传感信号较弱。在此,研究表明,具有高辐射与固有损耗率之比的过耦合PNA(OC-PNA)可以解决失谐导致的低相互作用效率问题,其可用于在强等离子体 - 分子失谐情况下的超灵敏光谱分析。在OC-PNA中,在248厘米的波长失谐范围内可实现超灵敏的分子信号,这比之前的工作宽173厘米。同时,OC-PNA对分子信号的畸变具有免疫能力,并保持与分子特征指纹一致的线形。这种策略允许单个器件增强并捕获中红外范围内完整且复杂的指纹振动。在概念验证演示中,借助机器学习算法,以100%的准确率识别出了13种具有被OC-PNA强烈失谐的某些振动指纹的分子。这项工作为失谐态纳米光子学在包括光谱学和传感器在内的潜在应用方面带来了新的见解。

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