Micromachines (Aug 2020)

Microfluidics-Based Systems in Diagnosis of Alzheimer’s Disease and Biomimetic Modeling

  • Yan Li,
  • Danni Li,
  • Pei Zhao,
  • Krishnaswamy Nandakumar,
  • Liqiu Wang,
  • Youqiang Song

DOI
https://doi.org/10.3390/mi11090787
Journal volume & issue
Vol. 11, no. 9
p. 787

Abstract

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Early detection and accurate diagnosis of Alzheimer’s disease (AD) is essential for patient care and disease treatment. Microfluidic technology is emerging as an economical and versatile platform in disease detection and diagnosis. It can be conveniently integrated with nanotechnology and/or biological models for biomedical functional and pre-clinical treatment study. These strengths make it advantageous in disease biomarker detection and functional analysis against a wide range of biological backgrounds. This review highlights the recent developments and trends of microfluidic applications in AD research. The first part looks at the principles and methods for AD diagnostic biomarker detection and profiling. The second part discusses how microfluidic chips, especially organ-on-a-chip platforms, could be used as an independent approach and/or integrated with other technologies in AD biomimetic functional analysis.

Keywords