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Acoustofluidic multimodal diagnostic system for Alzheimer's disease

  • Nanjing Hao
  • , Zeyu Wang
  • , Pengzhan Liu
  • , Ryan Becker
  • , Shujie Yang
  • , Kaichun Yang
  • , Zhichao Pei
  • , Peiran Zhang
  • , Jianping Xia
  • , Liang Shen
  • , Lin Wang
  • , Kathleen A. Welsh-Bohmer
  • , Laurie Sanders
  • , Luke P. Lee
  • , Tony Jun Huang
  • Duke University
  • Ascent Bio-Nano Technologies Inc.
  • Harvard University
  • University of California at Berkeley
  • Sungkyunkwan University

科研成果: 期刊稿件文章同行评审

65 引用 (Scopus)

摘要

Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative brain disorder that affects tens of millions of older adults worldwide and has significant economic and societal impacts. Despite its prevalence and severity, early diagnosis of AD remains a considerable challenge. Here we report an integrated acoustofluidics-based diagnostic system (ADx), which combines triple functions of acoustics, microfluidics, and orthogonal biosensors for clinically accurate, sensitive, and rapid detection of AD biomarkers from human plasma. We design and fabricate a surface acoustic wave-based acoustofluidic separation device to isolate and purify AD biomarkers to increase the signal-to-noise ratio. Multimodal biosensors within the integrated ADx are fabricated by in-situ patterning of the ZnO nanorod array and deposition of Ag nanoparticles onto the ZnO nanorods for surface-enhanced Raman scattering (SERS) and electrochemical immunosensors. We obtain the label-free detections of SERS and electrochemical immunoassay of clinical plasma samples from AD patients and healthy controls with high sensitivity and specificity. We believe that this efficient integration provides promising solutions for the early diagnosis of AD.

源语言英语
期刊论文编号113730
期刊Biosensors and Bioelectronics
196
DOI
出版状态已出版 - 15 1月 2022
已对外发布

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

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