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Theoretical study of the factor of merit of porous silicon based optical biosensors

机译:多孔硅基光学生物传感器性能因数的理论研究

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摘要

Porous silicon is an attractive material for label-free optical biosensors because of its biocompatibility, its large internal surface area, its open pore network, and its widely tunable refractive index. Many structures using this material and exploring reflectometry can be used for biosensing. The sensor performances and sensitivity depends on the parameters of the porous silicon layers and its thermal treatment such as porosity, pore size, oxidation degree, and used wavelength. A theoretical framework to model the reflectance spectra of three optical nanostructures (monolayer, Bragg mirror, and microcavity based on porous silicon layers) before and after the functionalization step is used to study the merit parameters for each device. Based on this theoretical work, optimized conditions to fabricate glucagon biosensors are proposed. A microcavity formed by a period constituted of two porous layers of porosities equal to 95% and 65% with a pore size of 60 and 51 nm, respectively, and with 40% oxidation degree allows a significant redshift to be obtained. The value of minimum detectable coating thickness for a detection system capable of resolving a wavelength shift of 0.1 nm is about 5×10~(-3) nm.
机译:多孔硅由于其生物相容性,较大的内表面积,开放的孔网络和广泛的可调折射率而成为无标签光学生物传感器的诱人材料。使用这种材料并探索反射法的许多结构都可以用于生物传感。传感器的性能和灵敏度取决于多孔硅层的参数及其热处理,例如孔隙率,孔径,氧化度和使用的波长。在功能化步骤之前和之后,一个用于模拟三个光学纳米结构(单层,布拉格镜和基于多孔硅层的微腔)的反射光谱的理论框架用于研究每个器件的性能参数。基于这一理论工作,提出了制备胰高血糖素生物传感器的最佳条件。由由孔隙率分别为95%和65%的两个多孔层构成的周期形成的微腔,其孔隙尺寸分别为60nm和51nm,氧化度为40%,使得能够获得显着的红移。对于能够解决0.1nm的波长偏移的检测系统,最小可检测涂层厚度的值约为5×10〜(-3)nm。

著录项

  • 来源
    《Journal of Applied Physics》 |2010年第4期|044905.1-044905.10|共10页
  • 作者

    J. Charrier; M. Dribek;

  • 作者单位

    Laboratoire CCLO, UMR-CNRS 6082, ENSSAT, BP 80518, 22305 Lannion Cedex, France Laboratoire FOTON, UMR-CNRS 6082, ENSSAT, BP 80518, 22305 Lannion Cedex, France;

    Laboratoire FOTON, UMR-CNRS 6082, ENSSAT, BP 80518, 22305 Lannion Cedex, France;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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