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基于电磁感应透明的超材料太赫兹生物传感器用于恶性神经胶质瘤细胞的高灵敏检测。

Highly sensitive detection of malignant glioma cells using metamaterial-inspired THz biosensor based on electromagnetically induced transparency.

机构信息

Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.

Department of Neurosurgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China; Collaborative Innovation Center for Brain Science, Chongqing, China.

出版信息

Biosens Bioelectron. 2021 Aug 1;185:113241. doi: 10.1016/j.bios.2021.113241. Epub 2021 Apr 22.

Abstract

Metamaterial-inspired biosensors have been extensively studied recently years for fast and low-cost THz detection. However, only the variation of the resonance frequency has been closely concerned in such sensors so far, whiles the magnitude variation, which also provide important information of the analyte, has not been sufficiently analyzed. In this paper, by the observation of two degree of variations, we propose a label-free biosensing approach for molecular classification of glioma cells. The metamaterial biosensor consisting of cut wires and split ring resonators are proposed to realize polarization-independent electromagnetic induced transparency (EIT) at THz frequencies. Simulated results show that the EIT-like resonance experiences both resonance frequency and magnitude variations when the properties of analyte change, which is further explained with coupled oscillators model theory. The theoretical sensitivity of the biosensor is evaluated up to 496.01 GHz/RIU. In experiments, two types of glioma cells (mutant and wild-type) are cultured on the biosensor surface. The dependences of frequency shifts and the peak magnitude variations on the cells concentrations for different types give new perspective for molecular classification of glioma cells. The measured results indicate that the mutant and wild-type glioma cells can be distinguished directly by observing both the variations of EIT resonance frequency and magnitude at any cells concentrations without antibody introduction. Our metamaterial-based biosensor shows a great potential in the recognition of molecule types of glioma cells, opening alternative way to sensitive biosensing technology.

摘要

近年来,基于超材料的生物传感器因其快速、低成本的太赫兹检测而受到广泛研究。然而,到目前为止,这种传感器只密切关注共振频率的变化,而对分析物的重要信息——幅度变化,还没有进行充分的分析。在本文中,通过观察两种程度的变化,我们提出了一种无标记的生物传感方法,用于对神经胶质瘤细胞进行分子分类。我们提出了一种由切割线和分裂环谐振器组成的超材料生物传感器,以实现太赫兹频率下的偏振独立电磁感应透明(EIT)。模拟结果表明,当分析物的性质发生变化时,EIT 类共振既经历共振频率的变化,也经历幅度的变化,这进一步用耦合振荡器模型理论进行了解释。该生物传感器的理论灵敏度高达 496.01 GHz/RIU。在实验中,两种类型的神经胶质瘤细胞(突变型和野生型)被培养在生物传感器表面。不同类型的细胞浓度对频率位移和峰值幅度变化的依赖性为神经胶质瘤细胞的分子分类提供了新的视角。测量结果表明,无需引入抗体,通过观察 EIT 共振频率和幅度的任何变化,就可以直接区分突变型和野生型神经胶质瘤细胞。我们基于超材料的生物传感器在神经胶质瘤细胞的分子类型识别方面显示出巨大的潜力,为敏感生物传感技术开辟了新的途径。

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