Catecholamines (CAs) are involved in a wide range of physiological and pathological processes in the body and are progressively being used as important biomarkers for a variety of diseases. It is of great significance for accurate quantification of CAs to the diagnosis and treatment of diseases. However, the separation of CAs from complex biological matrices is still a great challenge due to the trace levels of CAs and the limited selectivity of existing pretreatment methods. In this work, a dual-recognition imprinted membrane (BA-MIM) was developed to utilize the synergistic action of pH-responsive boron affinity and molecular imprinted cavities for highly selective capture and release of CAs. The prepared BA-MIM possessed remarkable adsorption capacity (maximum capacity, 43.3 mg g), desirable surface hydrophilicity (46.2°), superior selectivity (IF = 6.2, α = 14.3), as well as favorable reusability (number of cycles, 6 times). On this basis, an integrated analytical method based on BA-MIM extraction combined with ultrahigh-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) was innovatively developed to highly selective separation, enrichment, and detection of CAs in rat brain tissue. Under the optimum conditions, a low quantitation limits (0.05–0.10 ng mL), wide linear range (10–1000 ng mL), good linearity ( > 0.99), and satisfactory recoveries (88.5%–98.5 %) were obtained for CAs. The proven method was further applied to kidney-yang-deficiency-syndrome (KYDS) group rat model, revealed the intrinsic connection between kidney disease and catecholamine metabolism. This work provides an excellent reference paradigm for the effective construction of dual-recognition functional membrane material to the high-selective analysis of trace targets in complex matrices. Additionally, this integrated analytical strategy demonstrates its efficiency, sustainability, versatility, and convenience, showing remarkable prospect in a variety of applications for biological sample analysis.

中文翻译：

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基于pH响应分子印迹膜的双识别策略，用于高选择性捕获儿茶酚胺：从构建到实际应用


儿茶酚胺（CA）参与体内广泛的生理和病理过程，并逐渐被用作多种疾病的重要生物标志物。 CA的准确定量对疾病的诊断和治疗具有重要意义。然而，由于CA的痕量水平和现有预处理方法选择性有限，从复杂生物基质中分离CA仍然是一个巨大的挑战。在这项工作中，开发了一种双重识别印迹膜（BA-MIM），利用 pH 响应硼亲和力和分子印迹空腔的协同作用来高度选择性地捕获和释放 CA。制备的BA-MIM具有显着的吸附容量（最大容量为43.3 mg g）、良好的表面亲水性（46.2°）、优异的选择性（IF = 6.2，α = 14.3）以及良好的可重复使用性（循环次数为6次） ）。在此基础上，创新开发了基于BA-MIM提取结合超高效液相色谱-串联质谱（UHPLC-MS/MS）的一体化分析方法，用于大鼠脑组织中CA的高选择性分离、富集和检测。在最佳条件下，CA 获得了低定量限 (0.05–0.10 ng mL)、宽线性范围 (10–1000 ng mL)、良好的线性 (> 0.99) 和令人满意的回收率 (88.5%–98.5 %)。 。该方法进一步应用于肾阳虚证（KYDS）组大鼠模型，揭示了肾脏疾病与儿茶酚胺代谢之间的内在联系。 该工作为有效构建双识别功能膜材料以实现复杂基质中痕量靶标的高选择性分析提供了良好的参考范例。此外，这种集成分析策略展示了其高效性、可持续性、多功能性和便利性，在生物样品分析的各种应用中显示出非凡的前景。