Computational modeling of ionic currents through difform graphene nanopores with consistent cross-sectional areas.


Journal

Physical chemistry chemical physics : PCCP
ISSN: 1463-9084
Titre abrégé: Phys Chem Chem Phys
Pays: England
ID NLM: 100888160

Informations de publication

Date de publication:
21 Dec 2019
Historique:
pubmed: 22 11 2019
medline: 22 11 2019
entrez: 22 11 2019
Statut: ppublish

Résumé

Understanding the mechanism of ion transport and the related ionic current through a nanopore is significant for improving the sensing accuracy of biophysical and diagnostic applications using the nanopore technology. Here, systematic theoretical studies of ionic current dependence on the geometry of a nanopore were performed. Surprisingly, it was found that the ionic current through a nanopore with a smaller perimeter was obviously larger than that through a nanopore with a larger perimeter although all the nanopores had consistent cross-sectional areas; this was also found for nanopores with different hydrophobicities. This interesting result originates from the decrease in ion concentration, mobility and conductivity in proximity to the nanopore surface. Besides, an obvious ionic current enhancement was observed for hydrophobic nanopores compared to that for the hydrophilic nanopores, which was caused by the increased ion mobility through the hydrophobic nanopores. A simple model that combined the distribution of ion conductivity as well as the traditional Ohm's law was successfully applied to predict the ionic current through difform nanopores with different hydrophobicities. This work will aid the development of high-resolution nanopore sensors in the near future.

Identifiants

pubmed: 31750474
doi: 10.1039/c9cp05459f
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

26166-26174

Auteurs

Wei Si (W)

School of Mechanical Engineering, Southeast University, Nanjing 211189, China. yunfeichen@seu.edu.cn major212@seu.edu.cn wei.si@seu.edu.cn and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China.

Chenhan Liu (C)

School of Mechanical Engineering, Southeast University, Nanjing 211189, China. yunfeichen@seu.edu.cn major212@seu.edu.cn wei.si@seu.edu.cn and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China.

Jingjie Sha (J)

School of Mechanical Engineering, Southeast University, Nanjing 211189, China. yunfeichen@seu.edu.cn major212@seu.edu.cn wei.si@seu.edu.cn and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China.

Yin Zhang (Y)

School of Mechanical Engineering, Southeast University, Nanjing 211189, China. yunfeichen@seu.edu.cn major212@seu.edu.cn wei.si@seu.edu.cn and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China.

Yunfei Chen (Y)

School of Mechanical Engineering, Southeast University, Nanjing 211189, China. yunfeichen@seu.edu.cn major212@seu.edu.cn wei.si@seu.edu.cn and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China.

Classifications MeSH