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Materials today. Bio. 2025 May 31:32:101934. doi: 10.1016/j.mtbio.2025.101934 Q110.22025

Rapid detection of brain tumor cells using memristors for biomedical applications

用于生物医学应用的基于忆阻器的快速检测脑肿瘤细胞的方法 翻译改进

Longhui Fu  1, Huangtao Chen  1, Bai Sun  1  2  3, Zelin Cao  2  3, Kaikai Gao  2  3, Mengna Wang  2  3, Wentao Yan  2  3, Kun Wang  2  3, Teng Wu  1, Siyuan Zhang  4  5, Shouping Gong  1  6, Pengyu Ren  1  5  7

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作者单位

  • 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.
  • DOI: 10.1016/j.mtbio.2025.101934 PMID: 40520561

    摘要 中英对照阅读

    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.

    Keywords: Brain tumor cells; Medical engineering; Memristor; Rapid detection; Smart medicine.

    Keywords:rapid detection; brain tumor cells; memristors; biomedical applications

    脑肿瘤常常导致压迫或出血,对患者的生命构成严重威胁。然而,在神经科学研究领域中,快速检测脑肿瘤类型一直是一项技术瓶颈。在此,我们首次开发了一种使用Ag/WO3/Ti结构的忆阻器来快速检测脑肿瘤细胞的方法,旨在提供一种创新性的诊断工具。选择了四种代表不同程度恶性程度的脑肿瘤细胞系,包括LN-18、SHG44、U251和U87。将每个肿瘤细胞悬液加载到忆阻器表面,可以引起设备记录的I-V曲线出现明显变化。因此,不同细胞系影响下忆阻器的电阻状态可用于识别脑肿瘤类型。我们的研究结果表明,忆阻器可以根据其电阻状态的变化快速且有效地识别不同类型脑肿瘤细胞,特别是在区分高侵袭性脑肿瘤细胞(U251和U87)与低侵袭性脑肿瘤细胞(LN-18和SHG44)方面表现出色。这些结果支持了脑肿瘤细胞的快速检测,并具有潜在的临床应用前景,从而为治疗方案的优化以及手术过程中的操作指导铺平了道路。

    关键词: 脑肿瘤细胞;医学工程;忆阻器;快速检测;智慧医疗。

    关键词:快速检测; 脑肿瘤细胞; 忆阻器; 生物医学应用

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    期刊名:Materials today bio

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    ISSN:2590-0064

    e-ISSN:2590-0064

    IF/分区:10.2/Q1

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