TY - JOUR
T1 - Sweat induced memristive behavior and its working mechanism for noninvasive diagnostics of chronic kidney and liver diseases
AU - He, Jinlong
AU - Sun, Bai
AU - Wang, Songling
AU - Chen, Qi
AU - Cao, Zelin
AU - Gao, Kaikai
AU - Wang, Mengna
AU - Wu, Teng
AU - Fu, Longhui
AU - Wang, Kun
AU - Sun, Shuai
AU - Ren, Xiaobin
AU - Yan, Xianxia
AU - Shao, Jinyou
N1 - Publisher Copyright:
© 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
PY - 2026/6
Y1 - 2026/6
N2 - Chronic kidney disease (CKD) and chronic liver disease (CLD) have become the most prevalent types of diseases globally. However, early diagnosis and prevention are greatly restricted due to the invasive nature of traditional detection methods and limited access. Sweat, as a non-invasive and easily accessible biological specimen, often contains metabolites related to diseases, and holds great potential in health monitoring and disease diagnosis. In this work, we developed a memristive device with an Ag/Fe2O3/SiO2/FTO structure for noninvasive and highly sensitive detection of CKD and CLD through sweat analysis. The as-prepared memristor exhibits excellent resistive switching characteristics, self-rectifying behavior, and robust cycling stability. Specifically, when evaluated using sweat samples from healthy individuals, CKD patients, and CLD patients, the device manifested distinctive memristive signatures. These unique behaviors enable the precise classification of health status with minimal interference from fluctuations in sweat temperature or pH. Therefore, this work presents a novel, non-invasive, and portable method for disease diagnosis, specifically designed for real-time monitoring of chronic liver and kidney diseases, which demonstrates significant potential for health monitoring and early disease management.
AB - Chronic kidney disease (CKD) and chronic liver disease (CLD) have become the most prevalent types of diseases globally. However, early diagnosis and prevention are greatly restricted due to the invasive nature of traditional detection methods and limited access. Sweat, as a non-invasive and easily accessible biological specimen, often contains metabolites related to diseases, and holds great potential in health monitoring and disease diagnosis. In this work, we developed a memristive device with an Ag/Fe2O3/SiO2/FTO structure for noninvasive and highly sensitive detection of CKD and CLD through sweat analysis. The as-prepared memristor exhibits excellent resistive switching characteristics, self-rectifying behavior, and robust cycling stability. Specifically, when evaluated using sweat samples from healthy individuals, CKD patients, and CLD patients, the device manifested distinctive memristive signatures. These unique behaviors enable the precise classification of health status with minimal interference from fluctuations in sweat temperature or pH. Therefore, this work presents a novel, non-invasive, and portable method for disease diagnosis, specifically designed for real-time monitoring of chronic liver and kidney diseases, which demonstrates significant potential for health monitoring and early disease management.
KW - Disease diagnosis
KW - Health monitoring
KW - Medical engineering
KW - Memristor
KW - Smart medicine
UR - https://www.scopus.com/pages/publications/105040642152
U2 - 10.1016/j.mtchem.2026.103685
DO - 10.1016/j.mtchem.2026.103685
M3 - 文章
AN - SCOPUS:105040642152
SN - 2468-5194
VL - 54
JO - Materials Today Chemistry
JF - Materials Today Chemistry
M1 - 103685
ER -