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Acoustofluidic multimodal diagnostic system for Alzheimer's disease.

Publication ,  Journal Article
Hao, N; Wang, Z; Liu, P; Becker, R; Yang, S; Yang, K; Pei, Z; Zhang, P; Xia, J; Shen, L; Wang, L; Welsh-Bohmer, KA; Sanders, L; Lee, LP; Huang, TJ
Published in: Biosens Bioelectron
January 15, 2022

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.

Duke Scholars

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Published In

Biosens Bioelectron

DOI

EISSN

1873-4235

Publication Date

January 15, 2022

Volume

196

Start / End Page

113730

Location

England

Related Subject Headings

  • Spectrum Analysis, Raman
  • Silver
  • Metal Nanoparticles
  • Immunoassay
  • Humans
  • Biosensing Techniques
  • Bioinformatics
  • Alzheimer Disease
  • Aged
  • 4018 Nanotechnology
 

Citation

APA
Chicago
ICMJE
MLA
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Hao, N., Wang, Z., Liu, P., Becker, R., Yang, S., Yang, K., … Huang, T. J. (2022). Acoustofluidic multimodal diagnostic system for Alzheimer's disease. Biosens Bioelectron, 196, 113730. https://doi.org/10.1016/j.bios.2021.113730
Hao, Nanjing, Zeyu Wang, Pengzhan Liu, Ryan Becker, Shujie Yang, Kaichun Yang, Zhichao Pei, et al. “Acoustofluidic multimodal diagnostic system for Alzheimer's disease.Biosens Bioelectron 196 (January 15, 2022): 113730. https://doi.org/10.1016/j.bios.2021.113730.
Hao N, Wang Z, Liu P, Becker R, Yang S, Yang K, et al. Acoustofluidic multimodal diagnostic system for Alzheimer's disease. Biosens Bioelectron. 2022 Jan 15;196:113730.
Hao, Nanjing, et al. “Acoustofluidic multimodal diagnostic system for Alzheimer's disease.Biosens Bioelectron, vol. 196, Jan. 2022, p. 113730. Pubmed, doi:10.1016/j.bios.2021.113730.
Hao N, Wang Z, Liu P, Becker R, Yang S, Yang K, Pei Z, Zhang P, Xia J, Shen L, Wang L, Welsh-Bohmer KA, Sanders L, Lee LP, Huang TJ. Acoustofluidic multimodal diagnostic system for Alzheimer's disease. Biosens Bioelectron. 2022 Jan 15;196:113730.
Journal cover image

Published In

Biosens Bioelectron

DOI

EISSN

1873-4235

Publication Date

January 15, 2022

Volume

196

Start / End Page

113730

Location

England

Related Subject Headings

  • Spectrum Analysis, Raman
  • Silver
  • Metal Nanoparticles
  • Immunoassay
  • Humans
  • Biosensing Techniques
  • Bioinformatics
  • Alzheimer Disease
  • Aged
  • 4018 Nanotechnology