Step-defect guided delivery of DNA to a graphene nanopore
Precision placement and transport of biomolecules are critical to many single-molecule manipulation and detection methods. One such method is nanopore sequencing, in which the delivery of biomolecules towards a nanopore controls the method’s throughput. Using all-atom molecular dynamics, here we sho...
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Published in | Nature nanotechnology Vol. 14; no. 9; pp. 858 - 865 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
01.09.2019
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | Precision placement and transport of biomolecules are critical to many single-molecule manipulation and detection methods. One such method is nanopore sequencing, in which the delivery of biomolecules towards a nanopore controls the method’s throughput. Using all-atom molecular dynamics, here we show that the precision transport of biomolecules can be realized by utilizing ubiquitous features of graphene surface-step defects that separate multilayer domains. Subject to an external force, we found that adsorbed DNA moved much faster down a step defect than up, and even faster along the defect edge, regardless of whether the motion was produced by a mechanical force or a solvent flow. We utilized this direction dependency to demonstrate a mechanical analogue of an electric diode and a system for delivering DNA molecules to a nanopore. The defect-guided delivery principle can be used for the separation, concentration and storage of scarce biomolecular species, on-demand chemical reactions and nanopore sensing.
Subject to force, molecules are more likely to move down a step defect than up the defect and are even more likely to be displaced along the step defect line. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 A.A. conceived the project and carried out all AFM measurements. M.S. carried out all MD simulations and developed a theoretical model. AA and MS designed the computational experiments, analysed the data and co-wrote the manuscript. Author contributions |
ISSN: | 1748-3387 1748-3395 1748-3395 |
DOI: | 10.1038/s41565-019-0514-y |