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A Sequential Epitope-Protein Imprinting Strategy for Antibody-Free Electrochemical Sensing of CD44 Glycoprotein with Ultralow Detection Limit

化学 印记(心理学) 分子印迹 检出限 表位 糖蛋白 组合化学 生物物理学 纳米技术 选择性 纳米颗粒 靶蛋白 蛋白质阵列分析 生物传感器 跨膜蛋白 电极 色谱法 纳米材料 电化学 微量滴定板 电化学气体传感器 模板 分子识别 分子印迹聚合物 跨膜结构域 免疫分析 糖肽 生物化学
作者
Cheng Chen,Ping Xia,Lin Chen,Weige Dong,Ruifang Bai,Lianhai Shan,Shun Feng
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:98 (5): 4320-4328
标识
DOI:10.1021/acs.analchem.5c07439
摘要

Developing molecularly imprinted polymer-based sensors for proteins remains challenging due to the complexity, large molecular size, and conformational flexibility of protein targets. Here, we report a novel sandwich-type electrochemical sensor fabricated through a sequential epitope-protein imprinting strategy. This approach employs a two-step ″epitope-first-then-protein″ workflow: peptide epitopes are first site-specifically immobilized onto functionalized magnetic nanoparticles via metal-mediated coordination to form epitope-imprinted probes, which are then complexed with the full protein and serve as templates for protein-level imprinting on the electrode surface. This stepwise imprinting process, transitioning from peptide-level to protein-level recognition, enables the formation of highly tailored molecular cavities that complement the target protein both morphologically and functionally. The sensor synergistically combines the advantages of epitope imprinting (high selectivity, ease of handling) and protein surface imprinting (structural integrity). Integrated with a customized, 3D-printed miniaturized electrochemical cell, the sensor achieves an exceptionally broad linear dynamic concentration range from 0.5 pg·mL-1 to 200 ng·mL-1 and an ultralow detection limit of 9.98 fg·mL-1 (S/N = 3) for the CD44 transmembrane glycoprotein in a 10 μL sample volume. It also exhibits excellent selectivity against common serum proteins, outstanding reproducibility (RSD = 1.6%, n = 7), and robust stability (retaining >90% activity after 20 days). Real-sample analyses in human saliva and mouse serum validate the sensor's high accuracy and applicability in complex biological matrices, demonstrating the potential of this strategy as a generalizable platform for clinical diagnosis of protein biomarkers.

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