Biomolecule-gated mesoporous materials with electrochemically triggered optical response for the sensitive, simple and rapid determination of trace contaminants in the turbid and complex matrix milk

其目的是制备新的杂化生物分子门材料，用于快速和灵敏地识别牛奶中的关键真菌毒素和抗生素。这些材料的智能设计依赖于大量的电化学发光(ECL)指示剂分子被限制在高度多孔的纳米颗粒中，这些纳米颗粒由几个连接在外表面的分析物响应帽封闭。分析物的出现然后打开毛孔，导致储存的指示剂释放和有效的信号放大。这些材料将被并入横向流动格式，用于带有预打印微电极的快速和灵敏的浸渍棒分析，从而允许使用智能手机等便携式设备进行电化学激发和光学讯问。这种ECL检测将保证在混浊和(生物)化学复杂的基质奶中的超痕量分析灵敏度，而无需样品前处理。除了浸渍棒外，还将开发微流控平台，用于潜在的在线监测不透明液体中的目标化合物。将比较不同的把关化学物质(抗体、适配子)，并在选择性、灵敏度、动态范围和反应时间方面将ECL信号与传统的荧光检测进行基准比较。这一雄心勃勃的目标是直接在具有挑战性的基质牛奶中同时定量真菌毒素和抗生素，这一目标将成为这一前景光明的新检测范式的关键试验台。

The aim is to prepare new hybrid biomolecule-gated materials for the rapid and sensitive recognition of key mycotoxins and antibiotics in milk. The smart design of these materials relies on a larger number of electrochemiluminescent (ECL) indicator molecules being confined in highly porous nanoparticles, which are closed by few analyte-responsive caps attached to the outer surface. Advent of the analyte then uncaps the pores, leading to release of the stored indicators and efficient signal amplification. The materials will be incorporated into lateral flow formats for rapid and sensitive dip-stick assays with pre-printed microelectrodes, allowing for both, electrochemical excitation and optical interrogation with portable devices such as smartphones. Such ECL detection will guarantee ultratrace analytical sensitivity in the turbid and (bio-)chemically complex matrix milk without sample pretreatment. Besides dip-sticks, microfluidic platforms for the potential online monitoring of target compounds in nontransparent liquids will be developed. Different gatekeeper chemistries (antibodies, aptamers) will be compared, and ECL signaling will be benchmarked against conventional fluorescence detection in terms of selectivity, sensitivity, dynamic range and response time. The ambitious goal of simultaneously quantifying mycotoxins and antibiotics directly in the challenging matrix milk will serve as a critical test-bed for this promising new detection paradigm.