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Automated Electroosmotic Digital Optofluidics for Rapid and Label-Free Protein Detection

  • Fan Yang
  • , Rongxin Fu*
  • , Yitong Liu
  • , Wenbo Dong
  • , Xuekai Liu
  • , Yan Song
  • , Gong Li
  • , Tianqi Zhou
  • , Hanqi Hu
  • , Shanglin Li
  • , Xiangyu Jin
  • , Jiangjiang Zhang
  • , Hang Li
  • , Yao Lu
  • , Yanfang Guan
  • , Tianming Xu
  • , He Ding
  • , Guoliang Huang
  • , Huikai Xie
  • , Shuailong Zhang*
  • *此作品的通讯作者
  • Beijing Institute of Technology
  • University of Toronto
  • Aerospace Center Hospital
  • Tsinghua University
  • Henan University of Technology
  • Chinese Academy of Medical Sciences

科研成果: 期刊稿件文章同行评审

摘要

Rapid protein detection is crucial for medical diagnosis, clinical trials, and drug development but often faces challenges in balancing sensitivity with multiplex detection, low reagent consumption, and a short detection time. In this work, we developed an automated and sensitive electroosmotic digital optofluidics (e-DOF) platform for rapid and label-free protein biomarker quantification in microliter blood samples. The hyperspectral computation reveals nanoscale morphology changes caused by target protein capture, eliminating multifarious enzyme-linked labeling. Electroosmosis-driven molecular circulation accelerates the immuno-hybridization, enhancing sensitivity (with a detection limit of 0.21 nM) and reducing the detection time to 15 min, compared to 2-3 h for a traditional enzyme-linked immunosorbent assay. In multiplex detection of hepatitis A and E IgM in 17 clinical samples, the results were completely consistent with clinical trial outcomes. This e-DOF system presents an automated, rapid, and label-free platform for multiplex detection in microliter samples, highlighting potential applications in clinical diagnosis and immunoassay research.

源语言英语
页(从-至)5325-5333
页数9
期刊Nano Letters
25
13
DOI
出版状态已出版 - 2 4月 2025

联合国可持续发展目标

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    可持续发展目标 3 良好健康与福祉

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