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用于联合光谱椭圆偏振术和石英晶体微量天平法的生物传感的等离子体极化激元和腔模的应用。

Application of Tamm Plasmon Polaritons and Cavity Modes for Biosensing in the Combined Spectroscopic Ellipsometry and Quartz Crystal Microbalance Method.

机构信息

State Research Institute Center for Physical Sciences and Technology, Saulėtekio av. 3, 10257 Vilnius, Lithuania.

NanoTechnas-Center of Nanotechnology and Materials Science, Faculty of Chemistry and Geosciences, Vilnius University, Naugarduko Str. 24, 03225 Vilnius, Lithuania.

出版信息

Biosensors (Basel). 2021 Dec 7;11(12):501. doi: 10.3390/bios11120501.

DOI:10.3390/bios11120501
PMID:34940258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8699563/
Abstract

Low-cost 1D plasmonic photonic structures supporting Tamm plasmon polaritons and cavity modes were employed for optical signal enhancement, modifying the commercially available quartz crystal microbalance with dissipation (QCM-D) sensor chip in a combinatorial spectroscopic ellipsometry and quartz microbalance method. The Tamm plasmon optical state and cavity mode (CM) for the modified mQCM-D sample obtained sensitivity of ellipsometric parameters to RIU of Ψ = 126.78 RIU and Δ = 325 RIU, and Ψ = 264 RIU and Δ = 645 RIU, respectively. This study shows that Tamm plasmon and cavity modes exhibit about 23 and 49 times better performance of ellipsometric parameters, respectively, for refractive index sensing than standard spectroscopic ellipsometry on a QCM-D sensor chip. It should be noted that for the optical biosensing signal readout, the sensitivity of Tamm plasmon polaritons and cavity modes are comparable with and higher than the standard QCM-D sensor chip. The different origin of Tamm plasmon polaritons (TPP) and cavity mode (CM) provides further advances and can determine whether the surface (TPP) or bulk process (CM) is dominating. The dispersion relation feature of TPP, namely the direct excitation without an additional coupler, allows the possibility to enhance the optical signal on the sensing surface. To the best of our knowledge, this is the first study and application of the TPP and CM in the combinatorial SE-QCM-D method for the enhanced readout of ellipsometric parameters.

摘要

低成本的一维等离子体光子结构支持 Tamm 等离子体激元与腔模,可用于光学信号增强,通过组合光谱椭圆偏振术和石英微量天平法对市售的石英晶体微天平(QCM-D)传感器芯片进行修改。对于修改后的 mQCM-D 样品,Tamm 等离子体光学态和腔模(CM)分别使椭圆参数对折射率增量(RIU)的灵敏度达到 Ψ = 126.78 RIU 和 Δ = 325 RIU,以及 Ψ = 264 RIU 和 Δ = 645 RIU。这项研究表明,Tamm 等离子体激元和腔模在折射率传感方面的椭圆参数性能分别比 QCM-D 传感器芯片上的标准光谱椭圆偏振术提高了约 23 倍和 49 倍。需要注意的是,对于光学生物传感信号读出,Tamm 等离子体激元和腔模的灵敏度与标准 QCM-D 传感器芯片相当,甚至更高。Tamm 等离子体激元(TPP)和腔模(CM)的不同起源提供了进一步的进展,并可以确定是表面(TPP)还是体过程(CM)占主导地位。TPP 的色散关系特征,即无需额外耦合器的直接激发,使得在传感表面增强光学信号成为可能。据我们所知,这是首次将 TPP 和 CM 应用于组合 SE-QCM-D 方法中,以增强椭圆参数的读出。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a45/8699563/361019f1473e/biosensors-11-00501-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a45/8699563/fb15f5819888/biosensors-11-00501-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a45/8699563/dbffb9d427fa/biosensors-11-00501-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a45/8699563/5cc03ac50343/biosensors-11-00501-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a45/8699563/3a47bc027a34/biosensors-11-00501-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a45/8699563/429f26305d13/biosensors-11-00501-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a45/8699563/e1675e891911/biosensors-11-00501-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a45/8699563/361019f1473e/biosensors-11-00501-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a45/8699563/fb15f5819888/biosensors-11-00501-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a45/8699563/dbffb9d427fa/biosensors-11-00501-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a45/8699563/5cc03ac50343/biosensors-11-00501-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a45/8699563/3a47bc027a34/biosensors-11-00501-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a45/8699563/429f26305d13/biosensors-11-00501-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a45/8699563/e1675e891911/biosensors-11-00501-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a45/8699563/361019f1473e/biosensors-11-00501-g007.jpg

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