Dual-Mode Electrochemical Biosensor Based on Gold Nanoparticles/Two-Dimensional MoWS(2)/Graphene Oxide Composite for Detection of Glycated Albumin and Glucose toward Advancing Diabetes Diagnosis

基于金纳米粒子/二维MoWS(2)/氧化石墨烯复合材料的双模电化学生物传感器用于检测糖化白蛋白和葡萄糖,以推进糖尿病诊断

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Abstract

Diabetes, a widespread chronic disease, is characterized by dysregulated blood glucose levels, necessitating early diagnosis for effective management and complication prevention. To address the need for a more comprehensive diagnostic approach, we present a novel dual-mode electrochemical biosensor capable of simultaneously detecting two clinical biomarkers─glycated albumin (GA) and glucose─a combination not previously reported on a single platform. While glucose reflects immediate glycemic status, GA provides insight into short- to intermediate-term control; thus, their concurrent detection enables a more holistic glycemic assessment, enhancing diagnostic accuracy. This simultaneous biosensor demonstrates competitive immunoassay and enzymatic detection. The biosensor integrates polyethylenimine-capped gold nanoparticles, graphene oxide, and two-dimensional bimetallic molybdenum tungsten disulfide onto two working area screen-printed carbon electrodes, enhancing sensitivity and performance. For glucose detection, glucose oxidase and ferrocene monocarboxylic acid function as the enzyme catalyst and redox mediator, while a competitive immunosensor employing methylene blue as a redox signal selectively identifies GA. Differential pulse voltammetry facilitates simultaneous high-precision biomarker quantification. Validated in a 50-fold diluted human serum, the biosensor exhibited remarkable detection ranges of 500-25,000 pg mL(-1) for GA and 0.5-8.0 mM for glucose, achieving detection limits of 320 pg mL(-1) and 0.15 mM, respectively. By integrating GA and fasting plasma glucose assessments, this innovative biosensor design enhances diagnostic accuracy, addressing the limitations of individual methods and paving the way for a robust diabetes monitoring system that transforms diagnostic strategies for improved patient outcomes.

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