纳米铂黑修饰微电极阵列在神经电生理检测中的应用研究  

Application of microelectrode arrays with nano platinum black deposition on neural electrophysiological recording

作　　者：宋轶琳[1,2] 林楠森[1,2] 姜红[3] 刘春秀[1] 邢国刚[3] 蔡新霞[1,2] 

机构地区：[1]中国科学院电子学研究所传感技术国家重点实验室,北京100190 [2]中国科学院研究生院,北京100190 [3]北京大学神经科学研究所,北京100191

出　　处：《东南大学学报（医学版）》2011年第1期29-32,共4页Journal of Southeast University(Medical Science Edition)

基　　金：国家重大科学研究计划项目(2011CB933202);国家自然科学基金资助项目(61027001;60801032);中科院科研装备研制项目(Y2010015);中科院电子所创新项目(YOSQCX-9251);中科院电子所青年创新项目(07QNCX-9240)

摘　　要：目的:研究纳米铂黑修饰微电极阵列在神经电生理信号检测中的应用及其检测性能。方法:采用微电子机械系统(MEMS)工艺制备出用于神经电生理检测的微电极阵列,采用电化学沉积法在微电极阵列表面修饰纳米铂黑颗粒,通过扫描电镜观察修饰层的表面形貌。在同一测试环境下对比裸电极与修饰电极的噪声水平。利用修饰电极进行神经电生理信号的检测。结果:电化学沉积法制备的纳米铂黑颗粒在微电极表面分布致密而均匀。修饰铂黑后微电极信噪比可提高到原来的2.5倍,实验中能分辨出幅度在10μV左右的微弱电生理信号。结论:通过在微电极表面修饰纳米铂黑,可有效改善电极性能,提高神经电生理信号检测的信噪比。Objective：To study the application and performance of microelectrode arrays with nano platinum black deposition on neural electrophysiological recording.Methods：Microelectrode arrays for neural electrophysiological recording were fabricated by process of micro-electro-mechanical systems（MEMS） technology.Platinum black nano particles were electrochemically deposited onto the surface of microelectrodes.Morphology of the deposited film was observed by scanning electron microscope.Background noise of the microelectrodes with and without platinum black deposition was tested under the same environmental condition.Neural electrophysiological signals were recorded by the platinum black deposited microelectrode.Results：The electrochemically deposited platinum nanoparticles distributed compactly and uniformly on the microelectrodes.Signal to noise ratio of the microelectrodes can be improved by 2.5 times with platinum deposition.Electrophysiological signals as weak as 10 μV were successfully detected by deposited microelectrodes.Conclusion： Nano platinum black deposition can effectively improve the microelectrode performance and increase the signal to noise ratio of electrophysiological recording.

关 键 词：微电极阵列 纳米铂黑修饰 神经电生理 信噪比 

分 类 号：TP212.3[自动化与计算机技术—检测技术与自动化装置]