Continuum transport model of Ogston sieving in patterned nanofilter arrays for separation of rod-like biomolecules

被引:19
|
作者
Li, Zi Rui [1 ]
Liu, Gui Rong [1 ,2 ]
Chen, Yu Zong [1 ,3 ]
Wang, Jian-Sheng [1 ,4 ]
Bow, Hansen [5 ]
Cheng, Yuan [2 ]
Han, Jongyoon [5 ,6 ]
机构
[1] Singapore MIT Alliance, Singapore, Singapore
[2] Natl Univ Singapore, Dept Mech Engn, Ctr ACES, Singapore, Singapore
[3] Natl Univ Singapore, Dept Pharm, Singapore, Singapore
[4] Natl Univ Singapore, Dept Phys, Singapore, Singapore
[5] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA
[6] MIT, Dept Biol Engn, Cambridge, MA 02139 USA
关键词
DNA electrophoresis; electroosmotic flow; filtration; nanofluidics; Ogston sieving;
D O I
10.1002/elps.200700679
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
This article proposes a simple computational transport model of rod-like short dsDNA molecules through a microfabricated nanofilter array. Using a nanochannel consisting of alternate deep wells and shallow slits, it is demonstrated that the complex partitioning of rod-like DNA molecules of different sizes over the nanofilter array can be well described by continuum transport theory with the orientational entropy and anisotropic transport parameters properly quantified. In this model, orientational entropy of the rod-like DNA is calculated from the equilibrium distribution of rigid cylindrical rod near the solid wall. The flux caused by entropic differences is derived from the interaction between the DNA rods and the solid channel wall during rotational diffusion. In addition to its role as an entropic barrier, the confinement of the DNA in the shallow channels also induces large changes in the effective electrophoretic mobility for longer molecules in the presence of EOF. In addition to the partitioning/selectivity of DNA molecules by the nanofilter, this model can also be used to estimate the dispersion of separated peaks. It allows for fast optimization of nanofilter separation devices, without the need of stochastic modeling techniques that are usuall required.
引用
收藏
页码:329 / 339
页数:11
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