关于用于抗癌药物敏感性测试的电化学传感器的审查
Paula C R Corsato1, Christian O Silva2, Iris R S Ribeiro3
1Brazilian Nanotechnology National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas, São Paulo, 13083-970, Brazil; Institute of Chemistry, University of Campinas, Campinas, São Paulo, 13083-970, Brazil.
Analytica chimica acta
|January 12, 2026
概括
电化学传感器为传统抗癌药物敏感性测试提供了更快,更实时的替代方案. 这些先进的生物传感器在2D和3D模型中监测细胞和细胞外标记,改善药物开发和精确瘤学.
科学领域:
- 生物医学工程 生物医学工程
- 分析化学 分析化学
- 在瘤学瘤学.
背景情况:
- 传统的抗癌药物敏感性测试依赖于耗时的终点细胞活力测试.
- 现有的方法缺乏对于现代药物开发和精确瘤学至关重要的吞吐量和实时监测能力.
- 电化学传感器为快速实时评估药物效应提供了一个有希望的途径.
研究的目的:
- 批判性地审查最先进的电化学药物查设备的原则,优点和缺点.
- 讨论电化学传感器在2D和3D细胞模型中监测细胞和细胞外标记物的进展.
- 为克服当前瓶和建立抗癌药物敏感性测试的新传感范式提供前景.
主要方法:
- 对用于药物敏感性测试的电化学传感器操作原理的审查.
- 对监测细胞标记物 (增殖,粘附,间隙结) 和细胞外标记物 (O2,pH,代谢物) 的设备进行分析.
- 讨论利用纳米材料和机器学习进行二维和三维细胞模型 (球体,芯片上的器官) 的传感器进步.
主要成果:
- 电化学传感器可以监测药物反应的各种细胞和细胞外指标.
- 纳米材料和机器学习提高传感器性能,以改善药物查.
- 与电化学传感相结合的3D细胞模型提供高通量,实时和准确的药物效应预测.
结论:
- 电化学传感器对抗癌药物敏感性测试的传统方法提供了显著的进步.
- 具有3D细胞模型的多传感器,微流体和机器学习辅助设备准备加速药物开发.
- 这些平台可以在日常抗癌药物敏感性测试中弥合研究和临床应用之间的差距.
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