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arXiv 2408.04468physics.app-ph
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表面液体层载荷下表面声波的拓扑共振行为及传感应用

Topological resonance behaviors of surface acoustic waves under a surface liquid-layer loading and sensing applications

Bowei Wu, Tingfeng Ma, Shuanghuizhi Li, Xiang Fang, BoyueSu, Peng Li, Zhenghua Qian, Rongxing Wu, Iren Kuznetsova, Vladimir Kolesov

AI总结:

本文研究了表面液体层载荷下表面声波的拓扑共振行为,发现其共振频率对液体参数高度敏感,据此提出一种新型拓扑共振SAW液相传感器,实现了对水溶液中多种物质浓度的高灵敏度检测。

摘要:

本文研究了表面液体层载荷下表面声波(SAW)的拓扑共振行为。通过揭示液体层载荷对SAW波速及拓扑界面模式拓扑指数(Berry曲率和Chern数)的影响,基于表面液体层载荷下拓扑界面模式波导与谐振腔的耦合,获得了具有高Q因子的拓扑共振峰。结果表明,由结构参数引起的空间反演对称性破缺程度对拓扑共振Q因子有明显影响,而液体层载荷厚度对其影响较弱。值得注意的是,拓扑共振频率对液体参数显著敏感。基于此,提出了一种新型拓扑共振SAW液相传感器。此外,模拟了该传感器的传感性能,用于检测水溶液中血红蛋白、白蛋白、NaCl和NaI的浓度,获得了高灵敏度和高Q因子。本文结果可为未来实现高灵敏度和稳定的SAW微液体样品生物医学传感器提供重要基础。

英文摘要:

In this work, topological resonance behaviors of surface acoustic waves (SAW) under a surface liquid-layer loading are investigated. By revealing influences of the liquid-layer loading on wave velocity of SAW and topological indices (Berry curvature and Chern number) of topological interface-modes, a topological resonance peak with a high Q-factor is obtained based on couplings of a topological interface-mode waveguide and a resonant cavity under a surface liquid-layer loading. The results show that the degree of spatial-inversion-symmetry breaking resulting from structure parameters has an obvious influences on the topological resonance Q-factor, while the influences of the thickness of the liquid-layer loading on that is weak. It is worth noting that the topological resonance frequency is significantly sensitive to the liquid parameters. Based on that, a novel topological-resonance SAW liquid-phase sensor is proposed. Furthermore, sensing performances of this kind of sensor are simulated, which are used to sensing the concentration of hemoglobin, albumin, NaCl and NaI in aqueous solutions, and high sensitivities and Q-factors are obtained. The results presented in this paper can provide an important basis for the realization of highly sensitive and stable SAW micro-liquid-sample biomedical sensors in the future.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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