Out-of-Equilibrium Sensing with Unselective Artificial Receptors

将开发一种利用非选择性人工受体的平衡感测方法，该方法允许检测水介质中的生物相关分析物。首先，它表明，人们可以识别和定量分析物，仅仅使用一个非选择性受体，这在第一眼必须出现极不可能的读者。我们的方法可以成功，因为以前不可用的分析物相关的信息，现在可以使用我们的新的平衡方法，再加上位移或有害的结合测定。与具有高选择性天然衍生受体的已建立的基于平衡的测定完全相反，该提议首次使得能够使用低成本和稳健但非选择性的人工受体用于在实际相关情况下进行感测。在本研究提案的帮助下，将开发概念测试和专利的失衡方法，这是一种适用于高通量筛选（WP 2）的通用传感方法（WP 1）。此外，将建立一种适用于复杂混合物中分析物检测和定量的基于动力学阵列的传感方法（WP 3）。

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).