Biochemical component identification by plasmonic improved whispering gallery mode optical resonance based sensor
Biochemical component identification by plasmonic improved whispering gallery mode optical resonance based sensor
复制标题
基于等离子体改进回音壁模式光学共振传感器的生化成分识别
DOI：
10.1117/12.2051486
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
A. Ostendorf
中科院分区：
文献类型：
--
作者：
V. Saetchnikov;E.A. Tcherniavskaia;A.V. Saetchnikov;G. Schweiger;A. Ostendorf
本文介绍了利用回音壁模式光共振传感器的光散射参数分析方法，对蛋白质、微量元素、不同代次抗生素等多种生化试剂在大范围浓度变化的单组分和多组分溶液中进行检测和鉴定的实验数据。利用研制的固定在粘合层中的介电微球流体传感器单元和数据处理实现了参数和组件的复用。生化成分鉴定已被开发的网络分析技术。所开发的方法被证明是适用于单剂和多组分生化分析。基于微结构上的光学共振、等离子体共振和识别工具的新技术已经发展起来。为了提高微结构的灵敏度，采用纳米金溶液对胶粘剂固定的微球进行预处理。另一种技术使用沉积在粘合剂下方的基板上的薄膜金层。生物分子和纳米粒子的注入引起了相当大的变化的光学共振光谱。优化厚度下的等离子体金层也改善了光学共振光谱的参数。生化成分鉴定也已进行了开发的网络分析技术，为单一和多组分的解决方案。因此，利用等离子体增强光学微腔共振和多参数识别工具的优点，开发了一种新的超灵敏无标记生物医学传感器平台。
Experimental data on detection and identification of variety of biochemical agents, such as proteins, microelements, antibiotic of different generation etc. in both single and multi component solutions under varied in wide range concentration analyzed on the light scattering parameters of whispering gallery mode optical resonance based sensor are represented. Multiplexing on parameters and components has been realized using developed fluidic sensor cell with fixed in adhesive layer dielectric microspheres and data processing. Biochemical component identification has been performed by developed network analysis techniques. Developed approach is demonstrated to be applicable both for single agent and for multi component biochemical analysis. Novel technique based on optical resonance on microring structures, plasmon resonance and identification tools has been developed. To improve a sensitivity of microring structures microspheres fixed by adhesive had been treated previously by gold nanoparticle solution. Another technique used thin film gold layers deposited on the substrate below adhesive. Both biomolecule and nanoparticle injections caused considerable changes of optical resonance spectra. Plasmonic gold layers under optimized thickness also improve parameters of optical resonance spectra. Biochemical component identification has been also performed by developed network analysis techniques both for single and for multi component solution. So advantages of plasmon enhancing optical microcavity resonance with multiparameter identification tools is used for development of a new platform for ultra sensitive label-free biomedical sensor.
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