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An Automated Micro-Immunobeads-Based Electromagnetic Operation System (MEMOs) for Blood Testing of Alzheimer's Disease

Xiaoxue Fan, Xinyu Ye, Jiangrui Xu, Tianjiao Mao, Ruotong Zhang, Xinyuan Zhou, Christina C. K. Au Yeung, Chang Li, Raymond Chuen-Chung Chang*, Haisong Lin*, Ho Cheung Shum*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

3 Downloads (CityUHK Scholars)

Abstract

The anticipated rise in the prevalence of Alzheimer's disease (AD) under global demographic shifts necessitates the development of universally accessible screening and diagnostic tools, of which blood tests hold the promise. However, the widespread adoption of blood tests remains impeded by the lack of analytically validated biomarkers and accessible decentralized platforms. Here, the study presents a portable and automated micro-immunobeads-based electromagnetic operation system, termed MEMOs, targeting potential AD blood biomarker exosome-bound A beta 42 (Exo-A beta 42), for automated blood testing of AD. MEMOs integrates a microfluidic exosome-detection biological chip (mu-Exo Biochip) embedded with a magnetic field-responsive assay for detecting Exo-A beta 42 and a microbead operation electromagnetic chip (mu-Bead EMchip) for programmable and addressable actuation, collectively delivering a high level of accurate and automated AD testing. In both animal and clinical samples, the levels of Exo-A beta 42 measured using MEMOs have shown significant correlations with various progressive stages of AD. With the features of cost-effective manufacturing, minimized hands-on time, and an easy operation workflow, MEMOs offers an accessible pathway toward diagnosing and monitoring the progression of AD in decentralized practice.

© 2025 The Author(s). Advanced Science published by Wiley-VCH GmbH
Original languageEnglish
Article numbere09376
JournalAdvanced Science
Volume12
Issue number41
Online published18 Aug 2025
DOIs
Publication statusPublished - 6 Nov 2025

Funding

The authors would like to thank Mr. Haoran Pang of Westlake University for the support during the revision process. The authors thank Professor Billy Kwok-Chong Chow and Mr. Zhengyi Tao at School of Biological Sciences, The University of Hong Kong, for helping with western blotting experiments. H.L. acknowledges support from the NSFC Young Scientists Fund (Hong Kong) (No. 32201181), General Research Fund (No. 17208623). H.C.S. acknowledges support from the General Research Fund (Nos. 17306221, and 17317322) and Collaborative Research Fund (C7165-20GF) from the Research Grants Council (RGC) of Hong Kong. H.C.S. was also funded in part by the RGC Senior Research Fellow (SRFS2425-7S04) by RGC and the Health@InnoHK program of the Innovation and Technology Commission of the Hong Kong SAR Government. R.C.C.C is partially supported by Bingei and L & T Charitable Foundation Professorship in Dementia Research.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

  • automation
  • diagnosis
  • electromagnetic
  • microfluidics
  • point-of-care

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

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