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arXiv 2008.13706cond-mat.stat-mechcond-mat.mes-hallcond-mat.soft
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通过确定性绝对负迁移率的可调粒子分离

Tunable particle separation via deterministic absolute negative mobility

Aleksandra Słapik, Jakub Spiechowicz

摘要:

粒子分离技术是科学和工程的许多领域的焦点。在食品工业中,可以借助分离方案来防止有害的细菌活动。在医疗保健中,分离技术用于区分癌症和健康细胞,或用于治疗阿尔茨海默病和帕金森病。考虑在周期势场中运动的不同大小的布朗粒子云,它们受到无偏驱动和恒定力的作用。我们揭示了一个有效的分离策略,通过负迁移率的反直觉效果时,一个给定的大小的颗粒在相反的方向上所施加的恒定的力进行运输。我们证明了一个可调的分离解决方案,其中进行分离的颗粒的大小可以通过施加到系统的外力的参数的变化来控制。这种方法是朝着即时护理芯片实验室设备发展的重要一步。

英文摘要:

Particle isolation techniques are in the spotlight of many areas of science and engineering. In food industry, a harmful bacterial activity can be prevented with the help of separation schemes. In health care, isolation techniques are used to distinguish cancer and healthy cells or in therapy for Alzheimer's and Parkinson's diseases. We consider a cloud of Brownian particles of different sizes moving in a periodic potential and subjected to an unbiased driving as well as a constant force. We reveal an efficient separation strategy via the counterintuitive effect of negative mobility when particles of a given size are transported in a direction opposite to the applied constant force. We demonstrate a tunable separation solution in which size of the particle undergoing separation may be controlled by variation of the parameters of the external force applied to the system. This approach is an important step towards the development of point-of-care lab-on-a-chip devices.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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