journal article·2019

Biphasic signals during nanopore translocation of DNA and nanoparticles due to strong ion cloud deformation

Sebastian Sensale, Zhangli Peng, Hsueh-Chia Chang

Nanoscale· Volume 11· Issue 47
Publisher page

Abstract

We report a theory for biphasic ionic current signals during DNA and nanoparticle translocation through a solid-state nanopore that produces scaling results consistent with those of finite element simulations (FEM), molecular dynamics (MD) simulations and experiments. For standard nanopores designed for potential rapid sequencing applications, the electric field is enhanced by orders of magnitude due to field focusing and can severely deform the ion-cloud around the charged DNA. Highly fore-aft asymmetric space charge distribution leads to a universal quasi-steady comet-like structure with a long tail. In contrast to previous biphasic theories, the charge density and length of the tail, which are responsible for the negative resistive pulse, are shown to depend sensitively on the dimensionless applied field, the Peclet number Pe, with a ∓1 scaling, due to a balance between tangential migration and normal diffusion. An optimum Pe is predicted where the negative pulse has the maximum amplitude.
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Research context

OpenAlex topics: Nanopore and Nanochannel Transport Studies · Ion-surface interactions and analysis · Electrostatics and Colloid Interactions

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Aerospace and Mechanical Engineering

University of Notre Dame

Notre Dame

USA

Department of Chemical and Biomolecular Engineering

Funding

National Science Foundation · National Institute for Health Research

References (33)

Show source-provided references
1. Smeets · Nano Lett. · 2006 · 6 · 8910.1021/nl052107w ↗
2. Egatz-Gomez · Biomicrofluidics · 2016 · 10 · 03290210.1063/1.4948525 ↗
3. Ghosal · Biomicrofluidics · 2019 · 13 · 01130110.1063/1.5083913 ↗
4. Menestrina · J. Phys. Chem. C · 2014 · 118 · 239110.1021/jp412135v ↗
5. Wu · J. Phys. Chem. C · 2014 · 118 · 2682510.1021/jp5083032 ↗
6. Qiu · Anal. Chem. · 2015 · 87 · 851710.1021/acs.analchem.5b02060 ↗
7. Qiu · ACS Nano · 2016 · 10 · 841310.1021/acsnano.6b03280 ↗
8. Chen · Biophys. J. · 2017 · 112 · 67410.1016/j.bpj.2016.12.033 ↗
9. Das · Phys. Rev. Lett. · 2012 · 108 · 13810110.1103/PhysRevLett.108.138101 ↗
10. Aksimentiev · Nanoscale · 2010 · 2 · 46810.1039/b9nr00275h ↗
11. Wang · Anal. Chem. · 2015 · 87 · 822710.1021/acs.analchem.5b01501 ↗
12. Mathe · Biophys. J. · 2004 · 87 · 320510.1529/biophysj.104.047274 ↗
13. Sauer-Budge · Phys. Rev. Lett. · 2003 · 90 · 23810110.1103/PhysRevLett.90.238101 ↗
14. Fleming · Biophys. J. · 2017 · 112 · 36810.1016/j.bpj.2016.12.007 ↗
15. Chakraborty · Phys. Chem. Chem. Phys. · 2016 · 18 · 1589910.1039/C6CP00663A ↗
16. Jacobson · Proc. Natl. Acad. Sci. U. S. A. · 2017 · 114 · 509510.1073/pnas.1701132114 ↗
17. Keyser · Nat. Phys. · 2006 · 2 · 47310.1038/nphys344 ↗
18. Manning · Q. Rev. Biophys. · 1978 · 11 · 17910.1017/S0033583500002031 ↗
19. Khair · Langmuir · 2017 · 34 · 87610.1021/acs.langmuir.7b01897 ↗
20. Sensale · J. Chem. Phys. · 2018 · 149 · 08510210.1063/1.5039887 ↗
21. H.-C. Chang and L.Yeo , Electrokinetically driven microfluidics and nanofluidics , Cambridge University Press , 2010
22. Lee · Nano Lett. · 2012 · 12 · 403710.1021/nl301412b ↗
23. Boing · J. Extracell. Vesicles · 2014 · 3 · 2343010.3402/jev.v3.23430 ↗
24. Wei · Genetics · 2016 · 202 · 3710.1534/genetics.115.182311 ↗
25. Slouka · Annu. Rev. Anal. Chem. · 2014 · 7 · 31710.1146/annurev-anchem-071213-020155 ↗
26. Elimelech · Science · 2011 · 333 · 71210.1126/science.1200488 ↗
27. COMSOL Multiphysics® v.5.3a http://www.comsol.com
28. Phillips · J. Comput. Chem. · 2005 · 26 · 178110.1002/jcc.20289 ↗
29. Huang · J. Comput. Chem. · 2013 · 34 · 213510.1002/jcc.23354 ↗
30. Yoo · J. Phys. Chem. Lett. · 2016 · 7 · 381210.1021/acs.jpclett.6b01747 ↗
31. Jorgensen · J. Chem. Phys. · 1983 · 79 · 92610.1063/1.445869 ↗
32. Humphrey · J. Mol. Graphics · 1996 · 14 · 3310.1016/0263-7855(96)00018-5 ↗
33. Towns · Comput. Sci. Eng. · 2014 · 16 · 6210.1109/MCSE.2014.80 ↗