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Rapid detection of brain tumor cells using memristors for biomedical applications

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资源类型：
Pubmed体系：
作者：
Fu Longhui[1] * ; Chen Huangtao[1] * ; Sun Bai[1,2,3] ; Cao Zelin[2,3] ; Gao Kaikai[2,3] ; Wang Mengna[2,3] ; Yan Wentao[2,3] ; Wang Kun[2,3] ; Wu Teng[1] ; Zhang Siyuan[4,5] ; Gong Shouping[1,6] ; Ren Pengyu[1,5,7] ;
机构： [1]Department of Neurourgery, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, China. [2]Frontier Institute of Science and Technology, and Interdisciplinary Research Center of Frontier Science and Technology, Xi' an Jiaotong University, Xi'an, 710049, Shaanxi, China. [3]Micro-and Nano-technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, China. [4]Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, China. [5]Sichuan Digital Economy Industry Development Research Institute, Chengdu, 610036, Sichuan, China. [6]Xi'an Medical University, Xi'an, 710021, Shaanxi, China. [7]Institute of Medical Artificial Intelligence, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
出处：
DOI： 10.1016/j.mtbio.2025.101934

关键词： Brain tumor cells Rapid detection Memristor Smart medicine Medical engineering

摘要：
Brain tumors often lead to compression or hemorrhage that can seriously threaten patients' life. However, the rapid detection of brain tumor types has always been a bottleneck technology in the field of neuroscience research. Herein, it is firstly developed a rapid detection method of brain tumor cells by using a memristor with Ag/WO3/Ti structure, aiming to provide an innovative diagnostic tool. Four brain tumor cell lines representing varying degrees of malignancy, including LN-18, SHG44, U251, and U87, were selected. Each tumor cell suspension was loaded onto the memristor surface, which can induce a noticeable change I‒V curves of the device being recorded. Thus, the memristor's resistance states impacted by different cell lines could be used to identify the types of brain tumors. Our results demonstrated that the memristor can rapidly and effectively identify different types of brain tumor cells based on the changes in its resistance states, especially distinguishing between highly invasive brain tumor cells (U251 and U87) and low invasive brain tumor cells (LN-18 and SHG44). These results support a rapid detection for brain tumor cell with promising clinical applications, thus paving the way for optimization of treatment protocols as well as guidance of the surgical process during operation.© 2025 The Authors.

基金：
This work was supported by the National Natural Science Foundation of China (52375575; 81971766), Natural Science Foundation of Sichuan Province (2025ZNSFSC0640), China Postdoctoral Science Foundation (2021M692577), Basic research project of Xi’an Jiaotong University (xzy022024001; xtr072024022), and Key Research and Development Project of Shaanxi Province (2022ZDLSF04-01).
语种：
外文
PubmedID：
中科院(CAS)分区：
出版当年[2025]版：
大类 | 1 区 医学
小类 | 1 区 材料科学：生物材料 2 区 工程：生物医学
最新[2025]版：
大类 | 1 区 医学
小类 | 1 区 材料科学：生物材料 2 区 工程：生物医学
第一作者：
第一作者机构： [1]Department of Neurourgery, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, China.
共同第一作者：
通讯作者：
通讯机构： [1]Department of Neurourgery, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, China. [2]Frontier Institute of Science and Technology, and Interdisciplinary Research Center of Frontier Science and Technology, Xi' an Jiaotong University, Xi'an, 710049, Shaanxi, China. [3]Micro-and Nano-technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, China. [5]Sichuan Digital Economy Industry Development Research Institute, Chengdu, 610036, Sichuan, China. [6]Xi'an Medical University, Xi'an, 710021, Shaanxi, China. [7]Institute of Medical Artificial Intelligence, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
推荐引用方式(GB/T 7714)：
Fu Longhui,Chen Huangtao,Sun Bai,et al.Rapid detection of brain tumor cells using memristors for biomedical applications[J].Materials Today. Bio.2025,32:101934.doi:10.1016/j.mtbio.2025.101934.
APA：
Fu Longhui,Chen Huangtao,Sun Bai,Cao Zelin,Gao Kaikai...&Ren Pengyu.(2025).Rapid detection of brain tumor cells using memristors for biomedical applications.Materials Today. Bio,32,
MLA：
Fu Longhui,et al."Rapid detection of brain tumor cells using memristors for biomedical applications".Materials Today. Bio 32.(2025):101934

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