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生物传感器和器官之间的复杂接口:向智能多模式监控生理参数的进步

Yuqi Chen^1,2, Shuge Liu^1,2, Yating Chen^1,2

¹Institute of Medical Engineering, Department of Biophysics, School of Basic Medical Sciences, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China.

|September 26, 2025

概括

与生物传感器集成的器官可为药物开发和疾病研究提供微型模型. 本综述概述了传感技术和多模式方法,以推进有机智能和仿生学.

科学领域:

生物医学工程生物医学工程
有机物技术有机物技术
生物感应是一种生物感应.

背景情况:

有机器人作为人体生理学和疾病的体外模型.
整合生物传感器可以提高器官在药物开发,毒性测试和个性化医疗中的效用.

研究的目的:

为选择有机体传感技术提供一个框架.
促进有机体传感生物仿真和智能的进步.

主要方法:

有机体传感技术的系统审查和比较.
讨论微流体,电生理学 (MEA),光学,机械,基于FET,生物混合和无标签的方法.
探索多式联络传感策略.

主要成果:

概述和比较了有机体的各种传感方式.
多模式方法,比如将MEA和机械力传感相结合,提供了全面的分析.
整合策略可以增强有机体系统中的仿生和智能.

结论:

机器人生物传感器集成正在改变生物医学研究.
多模式传感克服了动态有机体分析单一模式的局限性.
未来的挑战包括传感器植入,信号稳定性和临床翻译标准化.

关键词:

生物传感器生物传感器电化学传感器电化学传感器微电极阵列是一个微电极阵列.微流体学在微流体学方面多式联网技术是多式联网技术.纳米材料的使用方法有机生物有机物

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