Gas Flow at the Ultra-nanoscale: Universal Predictive Model and Validation in Nanochannels of Ångstrom-Level Resolution.
Gas Flow at the Ultra-nanoscale: Universal Predictive Model and Validation in Nanochannels of Ångstrom-Level Resolution.
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DOI：
10.1021/acsami.8b11455
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发表时间：
2018-09-26
影响因子：
9.5
通讯作者：
Grattoni A
中科院分区：
文献类型：
--
作者：
Scorrano G;Bruno G;Di Trani N;Ferrari M;Pimpinelli A;Grattoni A
气体通过纳米级孔隙的传输在生物体中的分子交换以及在广泛的技术中是决定性的。在这里，我们报告了一个前所未有的理论和实验分析的气体运输在一组一致的限制纳米通道的大小范围从超纳米到亚微米尺度。建立了定量预测克努森区和过渡区受限气体流动的通用理论方法。与目前的理论，专门为非常简单的通道几何形状，我们的方法可以应用到几乎所有的几何形状，粒子界面碰撞的路径长度的概率分布可以计算，无论是分析或数值模拟。为了生成急需的基准实验模型，我们制造了具有二维纳米通道的可重复性极高的膜。通道尺寸范围从2.5到250 nm，并且使用前沿的纳米纤维技术实现了纳米级的尺寸控制和界面公差。然后，我们测量了克努森数范围从0.2到20的气体流量。理论预测和实验数据之间的良好协议被发现，证明了我们的方法的有效性和潜力。
Gas transport across nanoscale pores is determinant in molecular exchange in living organisms as well as in a broad spectrum of technologies. Here we report an unprecedented theoretical and experimental analysis of gas transport in a consistent set of confining nanochannels ranging in size from the ultra-nano- to the sub-microscale. A generally applicable theoretical approach quantitatively predicting confined gas flow in the Knudsen and transition regime was developed. Unlike current theories, specifically designed for very simple channel geometries, our approach can be applied to virtually all geometries, for which the probability distribution of path lengths for particle-interface collisions can be computed, either analytically or by numerical simulations. To generate a much needed benchmark experimental model, we manufactured extremely reproducible membranes with two-dimensional nanochannels. Channel sizes ranged from 2.5 to 250 nm, and Å-level of size control and interface tolerances were achieved using leading-edge nanofabrication techniques. We then measured gas flow in the Knudsen number range from 0.2 to 20. Excellent agreement between theoretical predictions and experimental data was found, demonstrating the validity and potential of our approach.
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影响因子：
6.1
作者：
Fine, Daniel;Grattoni, Alessandro;Liu, Xuewu
通讯作者：
Liu, Xuewu
影响因子：
7.4
作者：
Grattoni, Alessandro;Gill, Jaskaran;Ferrari, Mauro
通讯作者：
Ferrari, Mauro
影响因子：
10
作者：
Ferrati, Silvia;Nicolov, Eugenia;Grattoni, Alessandro
通讯作者：
Grattoni, Alessandro
影响因子：
4.9
作者：
Filgueira, C. S.;Nicolov, E.;Grattoni, A.
通讯作者：
Grattoni, A.
影响因子：
10.8
作者：
Cooper, SM;Cruden, BA;Roy, S
通讯作者：
Roy, S