Shanghai Key Laboratory of Mechanics in Energy Engineering, Shanghai Institute of Applied Mathematics and Mechanics, School of Mechanics and Engineering Science, Shanghai University, Shanghai 200072, China.
College of Architecture and Civil Engineering, Henan New Environmentally-Friendly Civil Engineering Materials Engineering Research Center, Xinyang Normal University, Xinyang 464000, China.
Sensors (Basel). 2024 Sep 29;24(19):6312. doi: 10.3390/s24196312.
The development of numerous diseases, such as renal cyst, cancer, and viral infection, is closely associated with the pathological changes and defects in the cellular peripheral brush. Therefore, it is necessary to develop a potential new method to detect lesions of cellular peripheral brush. Here, a piecewise linear viscoelastic constitutive model of cell is established considering the joint contribution of the peripheral brush and intra-cellular structure. By combining the Laplace transformation and its inverse transformation, and the differential method in the temporal domain and differential quadrature method (DQM) in the spatial domain, the signal interpretation models for quasi-static and dynamic signals of microcantilever are solved. The influence mechanisms of the peripheral brush on the viscoelastic properties of cells and quasi-static/dynamic signals of microcantilever are clarified. The results not only reveal that the peripheral brush has significant effects on the complex modulus of the cell and multi-channel signals of the microcantilever, but also suggest that an alternative mapping method by collecting multi-channel signals including quasi-static and higher frequency signals with more brush indexes could be potentially used to identify cancerous cells.
许多疾病的发展，如肾囊肿、癌症和病毒感染，与细胞外周刷状结构的病变和缺陷密切相关。因此，有必要开发一种潜在的新方法来检测细胞外周刷状结构的病变。在这里，建立了一个分段线性粘弹性本构模型，考虑了外周刷状结构和细胞内结构的共同贡献。通过结合拉普拉斯变换及其逆变换、时域中的微分方法和空间域中的微分求积法（DQM），解决了微悬臂梁的准静态和动态信号的信号解释模型。阐明了外周刷状结构对细胞粘弹性和微悬臂梁准静态/动态信号的影响机制。结果不仅表明外周刷状结构对细胞的复模量和微悬臂梁的多通道信号有显著影响，还表明通过采集包括准静态和更高频率信号在内的多通道信号，并利用更多的刷状结构指标，可以作为一种潜在的方法来识别癌细胞。
