Small Medical Devices, BioMEMS & LoC Lab, Department of Mechanical Engineering, College of Engineering, University of Tehran, Postal Code 14399-55961, Tehran, Iran.
MEMS & NEMS Lab, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.
Sci Rep. 2021 Jan 27;11(1):2341. doi: 10.1038/s41598-020-78411-1.
Cells mechanical property assessment has been a promising label-free method for cell differentiation. Several methods have been proposed for single-cell mechanical properties analysis. Dielectrophoresis (DEP) is one method used for single-cell mechanical property assessment, cell separation, and sorting. DEP method has overcome weaknesses of other techniques, including compatibility with microfluidics, high throughput assessment, and high accuracy. However, due to the lack of a general and explicit model for this method, it has not been known as an ideal cell mechanical property evaluation method. Here we present an explicit model using the most general electromagnetic equation (Maxwell Stress Tensor) for single-cell mechanical evaluation based on the DEP method. For proof of concept, we used the proposed model for differentiation between three different types of cells, namely erythrocytes, peripheral blood mononuclear cells (PBMC), and an epithelial breast cancer cells line (T-47D). The results show that, by a lumped parameter that depends on cells' mechanical and electrical properties, the proposed model can successfully distinguish between the mentioned cell types that can be in a single blood sample. The proposed model would open up the chance to use a mechanical assessment method for cell searching in parallel with other methods.
细胞力学特性评估一直是一种很有前途的无标记方法,可用于细胞分化。已经提出了几种用于单细胞力学特性分析的方法。介电泳(DEP)是用于单细胞力学特性评估、细胞分离和分选的方法之一。DEP 方法克服了其他技术的弱点,包括与微流控技术的兼容性、高通量评估和高精度。然而,由于该方法缺乏通用和明确的模型,因此它还不能被视为一种理想的细胞力学特性评估方法。在这里,我们提出了一种基于 DEP 方法的使用最通用的电磁方程(麦克斯韦张量)的显式模型,用于单细胞力学评估。为了验证概念,我们使用所提出的模型来区分三种不同类型的细胞,即红细胞、外周血单核细胞(PBMC)和上皮乳腺癌细胞系(T-47D)。结果表明,通过一个依赖于细胞力学和电学特性的集总参数,所提出的模型可以成功地区分在单个血样中的上述细胞类型。所提出的模型将为使用机械评估方法与其他方法并行搜索细胞开辟机会。