Department of Electrical and Electronic Engineering, School of Engineering, Cardiff University, Cardiff, CF24 3AA, UK.
International Joint Laboratory of Biomedicine and Engineering, Huazhong Agricultural University and Cardiff University, Wuhan, 430070, PR China.
Anal Chim Acta. 2023 May 15;1255:341120. doi: 10.1016/j.aca.2023.341120. Epub 2023 Mar 23.
Acoustofluidic devices becomes one of the emerging and versatile tools for many biomedical applications. Most of the previous acoustofluidic devices are used for cells manipulation, and the few devices for cell phenotyping with a limitation in throughput. In this study, an enhanced tilted-angle (ETA) acoustofluidic device is developed and applied for mechanophenotyping of live cells. The ETA Device consists of an interdigital transducer which is positioned along a microfluidic channel. An inclination angle of 5° is introduced between the interdigital transducer and the liquid flow direction. The pressure nodes formed inside the acoustofluidic field in the channel deflect the biological cells from their original course in accordance with their mechanical properties, including volume, compressibility, and density. The threshold power for fully converging the cells to the pressure node is used to calculate the acoustic contrast factor. To demonstrate the ETA device in cell mechanophenotyping, and distinguishing between different cell types, further experimentation is carried out by using A549 (lung cancer cells), MDB-MA-231 (breast cancer cells), and leukocytes. The resulting acoustic contrast factors for the lung and breast cancer cells are different from that of the leukocytes by 27.9% and 21.5%, respectively. These results suggest this methodology can successfully distinguish and phenotype different cell types based on the acoustic contrast factor.
声流控装置已成为许多生物医学应用中新兴且多功能的工具之一。 大多数先前的声流控装置用于细胞操作,而少数用于细胞表型分析的装置在通量方面存在局限性。 在这项研究中,开发并应用了增强型倾斜角(ETA)声流控装置来对活细胞进行力学生物表型分析。 ETA 装置由沿微流道布置的叉指换能器组成。 在叉指换能器和液体流动方向之间引入了 5°的倾斜角。 通道中声流场内形成的压力节点会根据细胞的体积、可压缩性和密度等机械特性,使生物细胞偏离其原始运动方向。 完全将细胞汇聚到压力节点所需的阈值功率用于计算声对比因子。 为了在细胞力学生物表型分析中展示 ETA 装置并区分不同的细胞类型,进一步使用 A549(肺癌细胞)、MDB-MA-231(乳腺癌细胞)和白细胞进行了实验。 肺癌和乳腺癌细胞的声对比因子分别比白细胞的声对比因子高 27.9%和 21.5%。 这些结果表明,该方法可以根据声对比因子成功区分和表型分析不同的细胞类型。