Rapid detection of brain tumor cells using memristors for biomedical applications
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 tum...
Saved in:
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Materials Today Bio |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590006425005046 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849434773392457728 |
|---|---|
| author | Longhui Fu Huangtao Chen Bai Sun Zelin Cao Kaikai Gao Mengna Wang Wentao Yan Kun Wang Teng Wu Siyuan Zhang Shouping Gong Pengyu Ren |
| author_facet | Longhui Fu Huangtao Chen Bai Sun Zelin Cao Kaikai Gao Mengna Wang Wentao Yan Kun Wang Teng Wu Siyuan Zhang Shouping Gong Pengyu Ren |
| author_sort | Longhui Fu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e332dc840cc0486f8e76dc08a8baf52e |
| institution | Kabale University |
| issn | 2590-0064 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Materials Today Bio |
| spelling | doaj-art-e332dc840cc0486f8e76dc08a8baf52e2025-08-20T03:26:31ZengElsevierMaterials Today Bio2590-00642025-06-013210193410.1016/j.mtbio.2025.101934Rapid detection of brain tumor cells using memristors for biomedical applicationsLonghui Fu0Huangtao Chen1Bai Sun2Zelin Cao3Kaikai Gao4Mengna Wang5Wentao Yan6Kun Wang7Teng Wu8Siyuan Zhang9Shouping Gong10Pengyu Ren11Department of Neurourgery, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, ChinaDepartment of Neurourgery, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, ChinaDepartment of Neurourgery, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, China; Frontier Institute of Science and Technology, and Interdisciplinary Research Center of Frontier Science and Technology, Xi' an Jiaotong University, Xi'an, 710049, Shaanxi, China; Micro-and Nano-technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, China; Corresponding author. Frontier Institute of Science and Technology, and Interdisciplinary Research Center of Frontier Science and Technology, Xi' an Jiaotong University, Xi'an, 710049, Shaanxi, China.Frontier Institute of Science and Technology, and Interdisciplinary Research Center of Frontier Science and Technology, Xi' an Jiaotong University, Xi'an, 710049, Shaanxi, China; Micro-and Nano-technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, ChinaFrontier Institute of Science and Technology, and Interdisciplinary Research Center of Frontier Science and Technology, Xi' an Jiaotong University, Xi'an, 710049, Shaanxi, China; Micro-and Nano-technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, ChinaFrontier Institute of Science and Technology, and Interdisciplinary Research Center of Frontier Science and Technology, Xi' an Jiaotong University, Xi'an, 710049, Shaanxi, China; Micro-and Nano-technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, ChinaFrontier Institute of Science and Technology, and Interdisciplinary Research Center of Frontier Science and Technology, Xi' an Jiaotong University, Xi'an, 710049, Shaanxi, China; Micro-and Nano-technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, ChinaFrontier Institute of Science and Technology, and Interdisciplinary Research Center of Frontier Science and Technology, Xi' an Jiaotong University, Xi'an, 710049, Shaanxi, China; Micro-and Nano-technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, ChinaDepartment of Neurourgery, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, ChinaDepartment of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, China; Sichuan Digital Economy Industry Development Research Institute, Chengdu, 610036, Sichuan, ChinaDepartment of Neurourgery, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, China; Xi'an Medical University, Xi'an, 710021, Shaanxi, China; Corresponding author. Department of Neurourgery, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, China.Department of Neurourgery, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, China; Sichuan Digital Economy Industry Development Research Institute, Chengdu, 610036, Sichuan, China; Institute of Medical Artificial Intelligence, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China; Corresponding author. Department of Neurourgery, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, Shaanxi, China.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.http://www.sciencedirect.com/science/article/pii/S2590006425005046Brain tumor cellsRapid detectionMemristorSmart medicineMedical engineering |
| spellingShingle | Longhui Fu Huangtao Chen Bai Sun Zelin Cao Kaikai Gao Mengna Wang Wentao Yan Kun Wang Teng Wu Siyuan Zhang Shouping Gong Pengyu Ren Rapid detection of brain tumor cells using memristors for biomedical applications Materials Today Bio Brain tumor cells Rapid detection Memristor Smart medicine Medical engineering |
| title | Rapid detection of brain tumor cells using memristors for biomedical applications |
| title_full | Rapid detection of brain tumor cells using memristors for biomedical applications |
| title_fullStr | Rapid detection of brain tumor cells using memristors for biomedical applications |
| title_full_unstemmed | Rapid detection of brain tumor cells using memristors for biomedical applications |
| title_short | Rapid detection of brain tumor cells using memristors for biomedical applications |
| title_sort | rapid detection of brain tumor cells using memristors for biomedical applications |
| topic | Brain tumor cells Rapid detection Memristor Smart medicine Medical engineering |
| url | http://www.sciencedirect.com/science/article/pii/S2590006425005046 |
| work_keys_str_mv | AT longhuifu rapiddetectionofbraintumorcellsusingmemristorsforbiomedicalapplications AT huangtaochen rapiddetectionofbraintumorcellsusingmemristorsforbiomedicalapplications AT baisun rapiddetectionofbraintumorcellsusingmemristorsforbiomedicalapplications AT zelincao rapiddetectionofbraintumorcellsusingmemristorsforbiomedicalapplications AT kaikaigao rapiddetectionofbraintumorcellsusingmemristorsforbiomedicalapplications AT mengnawang rapiddetectionofbraintumorcellsusingmemristorsforbiomedicalapplications AT wentaoyan rapiddetectionofbraintumorcellsusingmemristorsforbiomedicalapplications AT kunwang rapiddetectionofbraintumorcellsusingmemristorsforbiomedicalapplications AT tengwu rapiddetectionofbraintumorcellsusingmemristorsforbiomedicalapplications AT siyuanzhang rapiddetectionofbraintumorcellsusingmemristorsforbiomedicalapplications AT shoupinggong rapiddetectionofbraintumorcellsusingmemristorsforbiomedicalapplications AT pengyuren rapiddetectionofbraintumorcellsusingmemristorsforbiomedicalapplications |