定量衍射生物传感

Yves Blickenstorfer, M. Muller, Roland Dreyfus, A. Reichmuth, C. Fattinger, A. Frutiger
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引用次数: 4

摘要

衍射生物传感是一种很有前途的技术,它克服了折射生物传感器的关键限制,折射生物传感器是无标签光学传感器的主要类别。这些限制表现为更高的噪声和漂移,这是由于不能充分抑制由温度变化、溶剂浓度和最突出的非特异性结合引起的折射率波动。衍射生物传感器克服了这些限制,在亚微米尺度上具有固有的自我参考,而在分辨率上没有妥协。尽管这一非常有前途的属性,衍射生物传感器领域只得到有限的认可。一个主要原因是缺乏一般的定量分析。这阻碍了与其他技术和不同衍射生物传感器之间的比较。另一方面,对于折射生物传感器,通过折射率单位(RIU)可以进行这种比较。在这篇文章中,我们建议将相干表面质量密度$\Gamma_{\rm{coh}}$作为无标记衍射生物传感器的数量,其目的与折射传感器中的RIU相同。很容易将$\Gamma_{\rm{coh}}$转换为总表面质量密度$\Gamma_{\rm{tot}}$,这是许多检测的重要参数。我们提供了一个广义的框架来确定$\Gamma_{\rm{coh}}$用于各种衍射生物传感安排,从而实现定量比较。此外,该形式可用于估计背景散射,以便进一步优化传感器配置。最后,给出了一个具有重要实验考虑的实用指南,使任何背景的读者都能应用该理论。因此,本文为衍射生物传感器的发展提供了有力的工具,将有助于该领域的成熟和充分发挥其潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative Diffractometric Biosensing
Diffractometric biosensing is a promising technology to overcome critical limitations of refractometric biosensors, the dominant class of label-free optical transducers. These limitations manifest themselves by higher noise and drifts due to insufficient rejection of refractive index fluctuations caused by variation in temperature, solvent concentration, and most prominently, non-specific binding. Diffractometric biosensors overcome these limitations with inherent self-referencing on the submicron scale with no compromise on resolution. Despite this highly promising attribute, the field of diffractometric biosensors has only received limited recognition. A major reason is the lack of a general quantitative analysis. This hinders comparison to other techniques and amongst different diffractometric biosensors. For refractometric biosensors, on the other hand, such a comparison is possible by means of the refractive index unit (RIU). In this publication, we suggest the coherent surface mass density, $\Gamma_{\rm{coh}}$, as a quantity for label-free diffractometric biosensors with the same purpose as RIU in refractometric sensors. It is easy to translate $\Gamma_{\rm{coh}}$ to the total surface mass density $\Gamma_{\rm{tot}}$, which is an important parameter for many assays. We provide a generalized framework to determine $\Gamma_{\rm{coh}}$ for various diffractometric biosensing arrangements which enables quantitative comparison. Additionally, the formalism can be used to estimate background scattering in order to further optimize sensor configurations. Finally, a practical guide with important experimental considerations is given to enable readers of any background to apply the theory. Therefore, this paper provides a powerful tool for the development of diffractometric biosensors and will help the field to mature and unveil its full potential.
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