Department of Mechanical Engineering, Iowa State University, Ames, Iowa 50011, United States.
Department of Mechanical Engineering, Stanford University, Stanford, California 94305, United States.
ACS Appl Bio Mater. 2022 Jan 17;5(1):113-122. doi: 10.1021/acsabm.1c00913. Epub 2022 Jan 4.
Understanding the changes in the electrochemical properties of neural cells upon exposure to stress factors imparts vital information about the conditions prior to their death. This study presents a graphene-based biosensor for real-time monitoring of N27 rat dopaminergic neural cells which characterizes cell adhesion and cytotoxicity factors through impedance spectroscopy. The aim was to monitor the growth of the entire cell network via a nonmetallic flexible electrode array. Therefore, a water-based graphene solution was formulized as a conductive ink, 3D-printed into a flexible substrate through an electrohydrodynamic approach, resulting in electrodes with a conductivity of 6750 s/m. The presented high-throughput method enabled microscale monitoring of the entire cell network via the design of PDMS-based growth channels. The electrical resistance of the cell network was measured continuously along with their network density, constituting a mean density of 1890 cell/mm at full cell confluency. The results demonstrate the applicability of the impedance-based sensing of the cell network for rapid screening of the cytotoxic elements, and the real-time effect of UV exposure on dopaminergic neural cells was reported as an immediate application of the device.
了解神经细胞在暴露于应激因素时电化学性质的变化,为了解其死亡前的情况提供了重要信息。本研究提出了一种基于石墨烯的生物传感器,用于实时监测 N27 大鼠多巴胺能神经细胞,通过阻抗谱来表征细胞黏附和细胞毒性因素。目的是通过非金属柔性电极阵列监测整个细胞网络的生长。因此,将水性石墨烯溶液配制成导电油墨,通过电动力学方法 3D 打印到柔性基底上,得到电导率为 6750 s/m 的电极。所提出的高通量方法通过设计基于 PDMS 的生长通道,实现了对整个细胞网络的微尺度监测。连续测量细胞网络的电阻及其网络密度,在完全细胞融合时达到平均密度 1890 个细胞/mm。结果表明,基于阻抗的细胞网络传感可用于快速筛选细胞毒性元素,并且报告了 UV 暴露对多巴胺能神经细胞的实时影响,这是该设备的一个即时应用。