Do-it-yourself protein arrays as high-throughput immunoassays enabled by confined droplets on patterned plasmonic chips

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Authors: Ying Yue, Chenyu Shi, Yichen Wang, Shengjie Ma, Bin Sun, Qiqi Kan, Zhengchao Ji, Shuai Dong, Xue Zheng, Hongli Shan, Zheng Hu, Jiancheng Xu
+3 more Shoujun Zhu, Junhu Zhang, Bai Yang
Cited by: 2
References: 33

Abstract

Protein chips and arrays in parallel enable high-throughput protein detection in small-volume biological fluids, however, the limitations in sensitivity, dependence on expensive/bulky external equipment, and the need for specialized technical personnel have restricted their application in clinical and laboratory settings. Here, we present a droplet-based do-it-yourself (DBDIY) array on patterned plasmonic chips for high-throughput immunoassays, via confined droplets and plasmonic enhanced near-infrared (NIR) fluorescence. The assay allows equipment-free microarray fabrication and highly sensitive detection using only a pipette. It dynamically profiles 10 cytokines over 40 days in individual mice with just 6 µL of serum/blood per time point and achieves 100% sensitivity and specificity for C-reactive protein (CRP) in 1 nL of peripheral whole blood samples from 112 children. Scalable to high-throughput analysis of cell culture and serum, this accessible system simplifies workflows, extends utility in resource-limited settings, and offers a next-generation tool for longitudinal animal studies and clinical diagnostics. Protein detection typically requires bulky equipment and large sample volumes. Here, the authors develop a do-it-yourself plasmonic array that enables high-throughput immunoassays from minute volumes using only a pipette, showcasing their approach through longitudinal animal studies and pediatric diagnostics.

Fields of Study & Subjects

Advanced Biosensing Techniques and Applications Biosensors and Analytical Detection Innovative Microfluidic and Catalytic Techniques Innovation

Publication details

Journal / source
Nature Communications
Publisher
Springer Science and Business Media LLC
Volume
17
Issue
1
Publication date
14 February 2026
Language
EN