为了推进宫颈癌诊断，我们提出了一种最先进的无标记电化学免疫传感器，旨在同时检测多种生物标志物蛋白（p16INK4a、p53 和 Ki67）。该免疫传感器采用聚乙烯亚胺涂层金纳米颗粒/2D 二硫化钨/氧化石墨烯 (PEI-AuNPs/2D WS2/GO) 复合改性三丝网印刷碳电极 (3SPCE) 阵列构建。 2D WS2/GO 混合物提供了较大的比表面积，可支持分散良好的 PEI-AuNP 和吸附的氧化还原活性物质，从而提高整体性能。 PEI-AuNPs修饰的2D WS2/GO复合材料不仅提高了电极电导率，而且增加了抗体负载能力。氧化还原活性物质，包括 Cd2 离子、2,3-二氨基吩嗪 (DAP) 和亚甲蓝 (MB)，可作为不同的信号化合物分别定量检测宫颈癌生物标志物 p16INK4a、p53 和 Ki67。此外，该免疫传感器的检测灵敏度高，储存稳定性好，选择性高，重现性良好。该免疫传感器与蛋白质浓度的对数表现出良好的线性关系。此外，该免疫传感器还表现出高灵敏度、良好的储存稳定性、高选择性和可接受的重现性。我们的结果令人鼓舞，并且成功应用免疫传感器检测人血清中的三种肿瘤标志物，凸显了其在宫颈癌临床诊断中的潜力。版权所有 © 2024 Elsevier B.V. 保留所有权利。

To advance cervical cancer diagnostics, we propose a state-of-the-art label-free electrochemical immunosensor designed for the simultaneous detection of multiple biomarker proteins (p16INK4a, p53, and Ki67). This immunosensor is constructed using a polyethyleneimine-coated gold nanoparticles/2D tungsten disulfide/graphene oxide (PEI-AuNPs/2D WS2/GO) composite-modified three-screen-printed carbon electrode (3SPCE) array. The 2D WS2/GO hybrid provides a large specific surface area for supporting well-dispersed PEI-AuNPs and adsorbed redox-active species, enhancing overall performance. The PEI-AuNPs-decorated 2D WS2/GO composite not only improves electrode conductivity but also increases the antibody loading capacity. Redox-active species, including Cd2+ ions, 2,3-diaminophenazine (DAP), and methylene blue (MB), serve as distinct signaling compounds to quantitatively detect the cervical cancer biomarkers p16INK4a, p53, and Ki67, respectively. Additionally, the immunosensor demonstrates the detection with high sensitivity, good storage stability, high selectivity, and acceptable reproducibility. This immunosensor demonstrates a good linear relationship with the logarithm of protein concentrations. Additionally, the immunosensor also demonstrates high sensitivity, good storage stability, high selectivity, and acceptable reproducibility. Our promising results and the successful application of the immunosensor in detecting three tumor markers in human serum highlight its potential for clinical diagnosis of cervical cancer.Copyright © 2024 Elsevier B.V. All rights reserved.