In the present work, hollow porous molecularly imprinted polymer (HPMIP) was prepared via adopting a sacrificial support approach using glibenclamide (GB) as template, methacrylic acid (MAA) as functional monomer, ethylene glycol dimethacrylate as cross-linker (EGDMA) and mesoporous MCM-48 nanospheres as support. Owing to a short thickness of the foresaid HPMIP, a suitable steric structure was readily available that lead to fast and effective mass transfer of target analyte to sorbent and consequently supply high binding capacity. After ultrasonic-assisted dispersive solid phase extraction of urine sample, the analyte of interest was quantitatively pre-concentrated and determined by high performance liquid chromatography-ultraviolet detection (HPLC-UV). Influence of factors affecting the extraction efficiency such as sonication time, sample pH, sorbent dosage, and volumes of eluent and washing agents as well as their significant interactions were simultaneously optimized by experimental design methodology. Under optimized conditions, present method has linear response over concentration range of 10.0–3000.0μg L⁻¹ in human urine samples with a satisfactory detection limit close to 3.5 μg L⁻¹. The inter-day precisions of the current method (coefficient of variation) are lower than 5%, while recoveries are more than 89.5%.

在本工作中，采用牺牲支持方法，以格列本脲（GB）为模板，甲基丙烯酸（MAA）为功能单体，乙二醇二甲基丙烯酸酯为交联剂（EGDMA），通过介孔制备了中空多孔分子印迹聚合物（HPMIP）。 MCM-48纳米球作为支持。由于上述HPMIP的厚度很短，因此很容易获得合适的空间结构，从而可以快速有效地将目标分析物传质到吸附剂上，从而提供高结合力。在对尿液样品进行超声辅助分散固相萃取后，对目标分析物进行定量预浓缩并通过高效液相色谱-紫外检测（HPLC-UV）进行测定。影响提取效率的因素的影响，例如超声处理时间，样品pH，通过实验设计方法同时优化了吸附剂的用量，洗脱液和清洗剂的体积以及它们之间的显着相互作用。在最佳条件下，本方法在10.0–3000.0μg L的浓度范围内具有线性响应人尿样品中的^-1，检测限接近3.5μgL ^-1时令人满意。当前方法的日间精度（变异系数）低于5％，而回收率则高于89.5％。