A three-dimensional sensor to recognize amyloid-β in blood plasma of patients

Jukwan Na, Euimin Hwang, Jun Shik Choi, Min Jin Ji, Young Noh, Yong Beom Lim, Heon Jin Choi

Research output: Contribution to journalArticlepeer-review


Detecting amyloid beta (Aβ) in unpurified blood to diagnose Alzheimer's disease (AD) is challenging owing to low concentrations of Aβ and the presence of many other substances in the blood. Here, we propose a 3D sensor for AD diagnosis using blood plasma, with pairs of 3D silicon micropillar electrodes with a comprehensive circuit configuration. The sensor is developed with synthesized artificial peptide and impedance analysis based on a maximum signal-to-noise ratio. Its sensitivity and selectivity were verified using an in vitro test based on samples of human blood serum, which showed its feasibility for application in diagnosis of AD by testing blood plasma of the AD patient. The 3D sensor is designed to improve reliability by checking the impedance of each pair multiple times via constructing a reference pair and a working pair on the same sensor. Therefore, we demonstrate the ability of the 3D sensor to recognize cases of AD using blood plasma and introduce its potential as a self-health care sensor for AD patients.

Original languageEnglish
Pages (from-to)27295-27303
Number of pages9
JournalACS Omega
Issue number42
Publication statusPublished - 2020 Oct 27

Bibliographical note

Publisher Copyright:
© 2020 American Chemical Society

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)


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