Out-of-Equilibrium Sensing with Unselective Artificial Receptors

将开发一种利用非选择性人工受体的非平衡传感方法，允许检测水介质中的生物相关分析物。首先，它表明，一个人可以通过仅仅使用一个非选择性受体来识别和量化分析物，这乍一看对读者来说肯定是非常不可能的。我们的方法能够成功，因为以前无法获得的分析物相关信息现在可以使用我们的新的非平衡方法获得，该方法与置换或同时结合分析相结合。与已建立的具有高度选择性的自然衍生受体的基于平衡的分析完全相反，这一建议首次允许在实际相关情况下使用低成本和强大但非选择性的人工受体进行传感。概念测试和专利失衡方法将在这项研究建议的帮助下开发适用于高通量筛选(WP2)的通用传感方法(WP1)。此外，将建立一种适用于复杂混合物中分析物的检测和定量的基于动力学阵列的传感方法(WP3)。

An out-of-equilibrium sensing methodology utilizing non-selective artificial receptors will be developed that allows for the detection of biologically relevant analytes in aqueous media. First, it is shown that one can identify and quantify analytes by mere use of one non-selective receptor, which at first glance must appear highly unlikely to the reader. Our method can succeed because formerly unavailable analyte-related information can now be obtained using our novel out-of-equilibrium method that is coupled with a displacement or simultaneous-binding assay. In a complete contrast to established equilibrium-based assays with highly selective nature-derived receptors, this proposal enables for the first time the use of low-cost and robust but unselective artificial receptors for sensing under practical relevant circumstances. The concept-tested and patented out-of-equilibrium approach will be developed with the help of this research proposal a general sensing method (WP1) that is applicable for high-throughput screening (WP2). Furthermore, a kinetic array-based sensing method suitable for the detection and quantification of analytes in complex mixtures will be established (WP3).