A Surface-Engineered Microfluidic Platform with Algorithmic Optimization for Plasma Biomarker Detection in
Yue Cheng1,2,3,4, Limoran Tang1,2,3,4, Yi Tan1,2,3,4
1Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China.
Abstract:
Sensitive detection of low-abundance biomarkers in blood is essential for the early diagnosis of Alzheimer's disease (AD). Although the single molecule array (Simoa) platform offers femtomolar-level sensitivity and surpasses conventional assays such as enzyme-linked immunosorbent assay, its broader clinical utility is constrained by issues like nonspecific binding and a limited dynamic range. In this study, we present a surface-engineered microfluidic platform incorporating engineered beads to reduce nonspecific binding, electrostatic bead-microwell pairing for improved capture efficiency, and an algorithmic calibration model to extend the dynamic range. These innovations collectively improve the analytical sensitivity and quantification accuracy for plasma Aβ1-42 and pTau181. Statistical analyses assessed correlation between our microfluidic platform and Quanterix Simoa, and evaluated our diagnostic ability using the Quanterix Simoa measurements as the reference standard in individuals with AD (N = 107) and cognitively normal controls (N = 100). We further validated diagnostic cutoff values in an independent cohort. The microfluidic platform demonstrates a superior diagnostic performance and enables reliable longitudinal monitoring of plasma biomarkers. Our results highlight the potential of the surface-engineered microfluidic platform for clinical translation in neurodegenerative disease diagnostics.
