Literature DB >> 25638001

Theoretical analysis of selectivity mechanisms in molecular transport through channels and nanopores.

Shaghayegh Agah1, Matteo Pasquali1, Anatoly B Kolomeisky1.   

Abstract

Selectivity is one of the most fundamental concepts in natural sciences, and it is also critically important in various technological, industrial, and medical applications. Although there are many experimental methods that allow to separate molecules, frequently they are expensive and not efficient. Recently, a new method of separation of chemical mixtures based on utilization of channels and nanopores has been proposed and successfully tested in several systems. However, mechanisms of selectivity in the molecular transport during the translocation are still not well understood. Here, we develop a simple theoretical approach to explain the origin of selectivity in molecular fluxes through channels. Our method utilizes discrete-state stochastic models that take into account all relevant chemical transitions and can be solved analytically. More specifically, we analyze channels with one and two binding sites employed for separating mixtures of two types of molecules. The effects of the symmetry and the strength of the molecular-pore interactions are examined. It is found that for one-site binding channels, the differences in the strength of interactions for two species drive the separation. At the same time, in more realistic two-site systems, the symmetry of interaction potential becomes also important. The most efficient separation is predicted when the specific binding site is located near the entrance to the nanopore. In addition, the selectivity is higher for large entrance rates into the channel. It is also found that the molecular transport is more selective for repulsive interactions than for attractive interactions. The physical-chemical origin of the observed phenomena is discussed.

Mesh:

Year:  2015        PMID: 25638001     DOI: 10.1063/1.4906234

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  3 in total

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Journal:  J Chem Phys       Date:  2019-05-21       Impact factor: 3.488

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Authors:  Alice L Thorneywork; Jannes Gladrow; Yujia Qing; Marc Rico-Pasto; Felix Ritort; Hagan Bayley; Anatoly B Kolomeisky; Ulrich F Keyser
Journal:  Sci Adv       Date:  2020-05-01       Impact factor: 14.136

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Authors:  David Winogradoff; Han-Yi Chou; Christopher Maffeo; Aleksei Aksimentiev
Journal:  Nat Commun       Date:  2022-09-01       Impact factor: 17.694

  3 in total

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