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An innovative diagnostic method for myopia using blood-based biomemristor

  • Zhirong Liu
  • , Xiaobin Ren
  • , Bai Sun
  • , Guangdong Zhou
  • , Hui Gao
  • , Jiejing Bi
  • , Zelin Cao
  • , Kaikai Gao
  • , Hui Ma
  • , Lu Ye
  • The Fourth hospital in Xi’an
  • Xi'an Jiaotong University
  • Southwest University

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Myopia has become one of the main factors affecting the healthy growth of adolescents. However, the current methods for diagnosing myopia based on physiological indicators are still blank. In this work, a memristive device with Ag/ZIF-8:PVP/FTO structure was developed using ZIF-8 as the main functional material for detecting and distinguishing physiological states associated with high myopia. We observe the as-prepared memristor exhibits a significant I-V curve with memristive characteristics, as well as stable bipolar resistance switching and voltage dependent multi mechanism conduction behavior. Furthermore, after optimizing the system parameters, a robust multi-level switching response was achieved, in which the biomemristor manufactured from blood samples of highly myopic patients showed atypical memory blockade, indicating an interruption in ions migration and trap state dynamics. In particular, the experiment using a monozygotic twin family model has shown that altered memristive behavior is closely related to phenotypic differences rather than genetic identity, highlighting the sensitivity of the device to subtle physiological changes. Therefore, this work has achieved for the first time the application of the memristor based on ZIF-8 in myopia detection, which brings great hope for early screening, phenotype stratification, and minimally invasive monitoring of pediatric and high-risk populations.

Original languageEnglish
Article number102350
JournalMaterials Today Bio
Volume35
DOIs
StatePublished - Dec 2025

Keywords

  • Intelligent medicine
  • Medical engineering
  • Memristor
  • Myopia
  • Rapid detection

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