Voltage-driven translocation, the core concept of nanopore sensing for biomolecules, has been extensively studied in silico and in vitro over the past two decades. However, the theories of analyte capture are still not complete due to the complex dynamics resulting from the coupling of multiple physical processes such as di usion, electrophoresis, and electroosmotic flow.
In this thesis, I build and design translocation simulations for analytes ranging from point-like particles to rod-like molecules and long flexible polymers. The primary goal is to test, clarify and complete the existing capture theories. For example, we revisit and revise the existing definitions of the capture radius, clarify the concept of depletion zones, and investigate the impacts of the flat field near the pore.
Earlier theories of translocation underestimate the importance of the electric field out- side the nanopore. In our work, we analyze the non-equilibrium dynamics during the cap- ture process originating from the converging field lines, i.e., rod orientation and polymer deformation. We characterize the rod orientation and quantify its impact on capture time both with and without Electrohydrodynamic interactions. We investigate the polymer chain deformation and calculate the translocation time by taking the electric field outside the nanopore into account as opposed to the conventional simulation approaches.
Besides nanopore sensing, there are many undiscovered possibilities for nanopore trans- location technologies. We test two proof-of-concept ideas in which we suggest to use capture and translocation to separate molecules of di erent physical properties. For example, we show how one could selectively capture particles sharing the same mobility but di erent di usion coe cients using a pulsed field. Moreover, we demonstrate that it is possible to build a ratchet using pulsed fields and a nanopore to change the concentration ratios of a polymer mixture of different sized polyelectrolytes.
Identifer | oai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/42250 |
Date | 03 June 2021 |
Creators | Qiao, Le |
Contributors | Slater, Gary |
Publisher | Université d'Ottawa / University of Ottawa |
Source Sets | Université d’Ottawa |
Language | English |
Detected Language | English |
Type | Thesis |
Format | application/pdf |
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