在微流体网络中滴滴列车的编码/解码和可逆性
Michael J Fuerstman1, Piotr Garstecki, George M Whitesides
1Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford Street, Cambridge, MA 02138, USA.
概括
微流体滴滴在道中导航,其路径选择取决于滴滴分布. 这个系统这个系统这个系统
科学领域:
- 流体动力学 流体动力学
- 微流体学 微流体学
- 非线性动力学是一种非线性动力学.
背景情况:
- 微流体设备可以精确控制小流体体积.
- 微通道中的滴滴行为对于各种应用至关重要.
- 复杂的相互作用可以在狭窄的几何形状中从滴滴运动中产生.
研究的目的:
- 为了研究微流体网络中的滴滴路径选择.
- 探索基于滴滴的信号加密和解密的潜力.
- 为了展示一个没有门的,不受外部控制的微流体系统.
主要方法:
- 使用了带有Y形通道网络的微流体装置.
- 一种不混合液体在另一种不混合液体中的悬浮滴.
- 根据通道占用率观察和分析滴滴路径选择.
主要成果:
- 滴滴路径的选择取决于每个分支中的滴滴数量.
- 观察到路径选择的复杂,非线性序列.
- 由于线性流动力学,该系统表现出可逆的行为.
结论:
- 微流体滴滴相互作用可以用于复杂的行为.
- 可逆滴滴动力学可实现信号加密和解密.
- 演示了一个功能性的,无门的微流体系统用于数据处理.
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