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用于病毒样颗粒传感的裂环腔阵列中的不对称参数增强。

Asymmetric parameter enhancement in the split-ring cavity array for virus-like particle sensing.

作者信息

Jin Xiao, Xue Lu, Ye Shengwei, Cheng Weiqing, Hou Jamie Jiangmin, Hou Lianping, Marsh John H, Sun Ming, Liu Xuefeng, Xiong Jichuan, Ni Bin

机构信息

School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.

Co-first authors.

出版信息

Biomed Opt Express. 2023 Feb 22;14(3):1216-1227. doi: 10.1364/BOE.483831. eCollection 2023 Mar 1.

Abstract

Quantitative detection of virus-like particles under a low concentration is of vital importance for early infection diagnosis and water pollution analysis. In this paper, a novel virus detection method is proposed using indirect polarization parametric imaging method combined with a plasmonic split-ring nanocavity array coated with an Au film and a quantitative algorithm is implemented based on the extended Laplace operator. The attachment of viruses to the split-ring cavity breaks the structural symmetry, and such asymmetry can be enhanced by depositing a thin gold film on the sample, which allows an asymmetrical plasmon mode with a large shift of resonance peak generated under transverse polarization. Correspondingly, the far-field scattering state distribution encoded by the attached virus exhibits a specific asymmetric pattern that is highly correlated to the structural feature of the virus. By utilizing the parametric image sinδ to collect information on the spatial photon state distribution and far-field asymmetry with a sub-wavelength resolution, the appearance of viruses can be detected. To further reduce the background noise and enhance the asymmetric signals, an extended Laplace operator method which divides the detection area into topological units and then calculates the asymmetric parameter is applied, enabling easier determination of virus appearance. Experimental results show that the developed method can provide a detection limit as low as 56 vp/150µL on a large scale, which has great potential in early virus screening and other applications.

摘要

低浓度下病毒样颗粒的定量检测对于早期感染诊断和水污染分析至关重要。本文提出了一种新型病毒检测方法,该方法采用间接偏振参量成像方法,结合涂覆金膜的等离子体裂环纳米腔阵列,并基于扩展拉普拉斯算子实现了定量算法。病毒附着在裂环腔上会破坏结构对称性,而在样品上沉积薄金膜可增强这种不对称性,这使得在横向偏振下产生具有大幅共振峰偏移的不对称等离子体模式。相应地,附着病毒编码的远场散射态分布呈现出与病毒结构特征高度相关的特定不对称模式。通过利用参量图像sinδ以亚波长分辨率收集空间光子态分布和远场不对称性信息,可检测到病毒的存在。为进一步降低背景噪声并增强不对称信号,应用了一种扩展拉普拉斯算子方法,该方法将检测区域划分为拓扑单元,然后计算不对称参数,从而更易于确定病毒的存在。实验结果表明,所开发的方法在大规模检测中可提供低至56 vp/150µL的检测限,在早期病毒筛查及其他应用中具有巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b52d/10026587/3f258be00967/boe-14-3-1216-g001.jpg

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