Center for High Pressure Science, State Key Lab of Metastable Materials Science and Technology, Yanshan University, Qinhuangdao 066004, China.
Department of Endocrinology, The First Hospital of Qinhuangdao, Qinhuangdao 066000, China.
Nano Lett. 2024 May 1;24(17):5301-5307. doi: 10.1021/acs.nanolett.4c00981. Epub 2024 Apr 16.
The accurate diagnosis of diabetic nephropathy relies on achieving ultrasensitive biosensing for biomarker detection. However, existing biosensors face challenges such as poor sensitivity, complexity, time-consuming procedures, and high assay costs. To address these limitations, we report a WS-based plasmonic biosensor for the ultrasensitive detection of biomarker candidates in clinical human urine samples associated with diabetic nephropathy. Leveraging plasmonic-based electrochemical impedance microscopy (P-EIM) imaging, we observed a remarkable charge sensitivity in monolayer WS single crystals. Our biosensor exhibits an exceptionally low detection limit (0.201 ag/mL) and remarkable selectivity in detecting CC chemokine ligand 2 (CCL2) protein biomarkers, outperforming conventional techniques such as ELISA. This work represents a breakthrough in traditional protein sensors, providing a direction and materials foundation for developing ultrasensitive sensors tailored to clinical applications for biomarker sensing.
糖尿病肾病的准确诊断依赖于实现对生物标志物检测的超灵敏生物传感。然而，现有的生物传感器面临灵敏度差、复杂、耗时的程序和高分析成本等挑战。为了解决这些限制，我们报告了一种基于 WS 的等离子体生物传感器，用于超灵敏检测与糖尿病肾病相关的临床人尿液样本中的生物标志物候选物。利用基于等离子体的电化学阻抗显微镜（P-EIM）成像，我们观察到单层 WS 单晶中的显著电荷灵敏度。我们的生物传感器在检测 CC 趋化因子配体 2（CCL2）蛋白生物标志物方面表现出极低的检测限（0.201 ag/mL）和卓越的选择性，优于 ELISA 等传统技术。这项工作代表了传统蛋白质传感器的突破，为开发针对临床应用的超灵敏传感器提供了方向和材料基础，用于生物标志物传感。
