论文标题

定量衍射生物传感

Quantitative Diffractometric Biosensing

论文作者

Blickenstorfer, Yves, Müller, Markus, Dreyfus, Roland, Reichmuth, Andreas Michael, Fattinger, Christof, Frutiger, Andreas

论文摘要

衍射生物传感是一项有前途的技术,可以克服折射率生物传感器的临界局限性,这是无标记的光学传感器的主要类别。由于温度,溶剂浓度的变化以及最突出的非特异性结合,由于不充分排斥折射率波动而导致的噪声和漂移不足,因此这些局限性表现出来。衍射生物传感器通过在亚微米量表上固有的自我引用克服了这些局限性,而分辨率没有妥协。尽管这种高度有希望的属性,但衍射生物传感器的领域仅获得了有限的识别。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中的比较。另一方面,对于折射率生物传感器,可以通过折射率单元(RIU)进行这种比较。在本出版物中,我们建议相干的表面质量密度为$γ_ {\ rm {coh}} $,作为与折射传感器中与RIU相同目的的无标签衍射生物传感器的数量。将$γ_ {\ rm {coh}} $转换为总表面质量密度$γ_ {\ rm {tot}} $,这是许多分析的重要参数。我们提供了一个通用框架,以确定$γ_ {\ rm {coh}} $,用于各种衍射生物传感安排,以实现定量比较。此外,形式主义可用于估计背景散射,以进一步优化传感器配置。最后,给出了具有重要实验考虑的实用指南,以使任何背景的读者都能应用理论。因此,本文为开发衍射生物传感器提供了强大的工具,并将帮助该领域成熟并揭示其全部潜力。

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, $Γ_{\rm{coh}}$, as a quantity for label-free diffractometric biosensors with the same purpose as RIU in refractometric sensors. It is easy to translate $Γ_{\rm{coh}}$ to the total surface mass density $Γ_{\rm{tot}}$, which is an important parameter for many assays. We provide a generalized framework to determine $Γ_{\rm{coh}}$ 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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