A proof-of-concept memristive platform for profiling serum electrochemical alterations associated with a preeclampsia model.

Authors

Dingrui Liu, Ming Zeng, Bai Sun, Song Ling Wang, Kun Wang, Mengna Wang, Nan Zhang, Jie Ding, Xiaobin Ren, Xuelan Li

Published in

Analytica chimica acta. Volume 1422. Pages 346131. Nov 08, 2026. Epub Aug 17, 2026.

Abstract

Preeclampsia (PE) is a complex pregnancy-associated disorder characterized by systemic physiological and biochemical alterations. Current diagnostic approaches mainly rely on clinical parameters and specific biomarkers, highlighting the need for alternative analytical strategies capable of characterizing disease-associated biochemical changes. In this work, we developed a serum-responsive memristive platform based on an Ag/BiFeO₃/HfO₂/FTO heterostructure for profiling electrochemical alterations associated with a preeclampsia model. The fabricated device exhibited stable resistive switching behavior and responded to variations in the surrounding serum environment. Rather than targeting specific molecular biomarkers, the memristor converts serum-induced modulation of the device interface into measurable changes in the current-voltage characteristics, high-resistance state, low-resistance state, and switching ratio. Using serum samples derived from a reduced uterine perfusion pressure (RUPP) rat model and Sham controls, distinct resistance characteristics and switching behaviors were observed between the two groups. The differential responses may reflect RUPP-associated changes in serum microenvironmental properties, including possible variations in redox-related activity and ionic composition, which may regulate interfacial charge transport and conductive pathway evolution within the memristive device. Therefore, this work demonstrates the feasibility of memristive systems as label-free platforms for sensing serum-associated electrochemical alterations and provides a proof-of-concept strategy for investigating pregnancy-related disease environments.

PMID:
42763181
Bibliographic data and abstract were imported from PubMed on 20 Sep 2026.

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