Selective optical sensor arrays in a silicon hybrid platform (SOSAS)

快速、准确地分析液体和水溶液的组成是极其重要的，例如，为了检测饮用水中的药物残留或能够根据需要快速调整技术工艺条件。今天，混合物的分析通常是从混合物中提取样品，然后进行仪器分析。这需要特定的仪器设备和方法知识，而且由于将样品运送到分析实验室所需的时间，结果也会延迟。因此，在本方案中，将研究一种基于集成光波导的传感器，它将能够一步到位地分析复杂混合物的组成，并给出定量的结果。这种方法是基于一种硅芯片，其中包含对表面折射率变化敏感的波导阵列，并具有光学读出功能。该芯片是传感器平台的基础，该平台可以经济高效地大量生产，用于多种用途。用于实际样品分析的芯片表面的定制和单个波导的必要的“敏化”是由特定分析物完成的，并通过额外的具有功能层的涂层来进行空间解析，例如通过喷墨打印。该项目的目的是了解光波导和功能层之间的相互作用，并优化这两个组件的组合，从而形成可操作的传感器原型，用于复杂水溶液的定量分析。传感器的性能将使用浓度尽可能小的药物双氯芬酸、卡马西平和美托洛尔的水溶液进行演示。

Fast and precise analysis of the composition of liquids and aqueous solutions is extremely important, e.g. in order to detect drug residues in drinking water or to be able to quickly adapt technical process conditions on demand. Today, analysis of mixtures is routinely done by taking samples from the mixtures followed by instrumental analysis. This requires specific instrumental equipment and methodological knowledge and also gives delayed results due to the time necessary for sample transportation to the analysis laboratory. Therefore, in this proposal a sensor based on integrated optical waveguides will be investigated which will be able to analyze the composition of complex mixtures on the spot in one step with a quantitative result. The approach is based on a silicon chip containing an array of waveguides which are sensitive to refractive index changes on their surfaces and have optical read-outs. The chip is the basis of a sensor platform which can be produced cost-effectively in large quantities for versatile uses. Customization of the chip surface for actual sample analysis and the necessary “sensitization” of the individual waveguides is done analyte-specific and spatially resolved by additional coating with functional layers, e.g. by inkjet printing. The aim of the project is to understand the interaction of optical waveguides and functional layers and to optimize the combination of both components, resulting in an operational sensor prototype for the quantitative analysis of complex aqueous solutions. The sensor performance will be demonstrated using aqueous solutions with concentrations as small as possible of the drugs Diclofenac, Carbamazepin, and Metoprolol.