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

目的是制备新的杂交生物分子门控材料，用于快速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致发光（ECL）指示剂分子被限制在高度多孔的纳米颗粒中，这些纳米颗粒由附接到外表面的少数分析物响应帽封闭。然后分析物的出现打开孔，导致储存的指示剂的释放和有效的信号放大。这些材料将被纳入侧流格式，用于快速和灵敏的试纸条测定与预印刷的微电极，允许电化学激发和光学询问与便携式设备，如智能手机。这种ECL检测将保证在浑浊和（生物）化学复杂的基质牛奶中的超痕量分析灵敏度，而无需样品预处理。除了试纸，微流控平台的潜在在线监测目标化合物在不透明的液体将被开发。将比较不同的看门人化学物质（抗体、适体），并在选择性、灵敏度、动态范围和响应时间方面将ECL信号传导与常规荧光检测进行基准测试。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的雄心勃勃的目标将成为这种有前途的新检测模式的关键测试平台。

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.