The electrical parameters of single cells are label-free and intrinsic properties that can reflect the physiological characteristics. In recent years, many measurement methods based on impedance spectroscopy and rotation spectrum analysis have been developed. However, most of these works need to measure the response at whole frequency range to obtain DEP spectra and estimate the electrical parameters by fitting method, which are time-consuming and limit the measurement throughput. Therefore, improving the measurement throughput for single cells is an essential problem to be solved addressed. In this paper we present a microfluidic chip that combines dielectrophoretic motion and electro-rotation technology for single-cell electrical properties characterization. Since the movement and rotation speed of single cell in mediums are related to the electrical parameters of itself, electric signals and medium, the electrical properties can be obtained by measuring and analyzing the movement trajectory and rotation speed of the cell. Numerical simulations were performed to analyze the electric field distribution of the chip under different signal configurations, which predict the movement trajectory and rotation state, and determine the values of electric field on the cells. Based on the simulation results, cell focusing, dielectrophoretic motion and electro-rotation were successfully realized. By analyzing the movement trajectory and rotation speed, the conductivity of wall and the permittivity of membrane of yeast cells were characterized. The measurement method avoids the time-consuming of the traditional rotational spectra method, and can realize rapid and efficiency and single-cell electrical characterization.

单个细胞的电参数是无标记的和内在的，可以反映生理特征。近年来，已经发展了许多基于阻抗谱和旋转谱分析的测量方法。然而，这些工作大多需要在整个频率范围内测量响应以获得DEP谱并通过拟合方法估计电参数，这既耗时又限制了测量吞吐量。因此，提高单小区的测量吞吐量是一个亟待解决的问题。在本文中，我们提出了一种微流控芯片，它结合了介电泳运动和电旋转技术，用于单细胞电特性表征。由于单个细胞在介质中的运动和旋转速度与自身的电参数、电信号和介质有关，因此可以通过测量和分析细胞的运动轨迹和旋转速度来获得电特性。通过数值模拟分析芯片在不同信号配置下的电场分布，预测运动轨迹和旋转状态，确定细胞上的电场值。基于模拟结果，成功实现了细胞聚焦、介电泳运动和电旋转。通过分析酵母细胞的运动轨迹和旋转速度，表征了酵母细胞壁的电导率和膜的介电常数。