A coarse-grained Poisson–Nernst–Planck model for polyelectrolyte-modified nanofluidic diodes
Abstract: Polyelectrolyte (PE)-modified synthetic nanopores have gained substantial research attention because molecular modification promotes ion gating and rectification. However, theoretical research on PE-modified nanopores is relatively scarce because it is difficult to establish an elaborate model for PEs, and it accordingly causes a trade-off between the computational resources needed and the accuracy. Therefore, an appropriate simulation method for the PE-modified nanopore is in high demand and still an enormous challenge. Herein, we report the simulation result of ion transport through PE-modified nanopores through a coarse-grained Poisson–Nernst–Planck method. By modeling the stuffed PE molecules as PE particles in a well-established continuum model, adequate computational accuracy can be achieved with acceptable computational cost. Based on this model, we study the ion transport in PE-modified nanofluidic diodes and reveal the PE around ion selectivity, which can explain the previous experimental works. Intriguingly, we found that the ion enrichment state in the nanofluidic diode is sensitive to steric hindrance and charge distribution near the heterojunction region. This property is critical for the ion transport behavior in the PE-modified nanofluidic diodes. Based on this property, we predict a heterogeneous structure that can realize the single molecule response to charged analytes. These findings provide insights for understanding the ion transport in PE-modified nanofluidic systems and bring inspiration to the design and optimization of high-performance chemical sensors.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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A coarse-grained Poisson–Nernst–Planck model for polyelectrolyte-modified nanofluidic diodes ; volume:13 ; number:1 ; year:2024 ; extent:12
Nanotechnology reviews ; 13, Heft 1 (2024) (gesamt 12)
- Creator
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Li, Zhe
Mao, Chaowu
Cao, Liuxuan
Miao, Huifang
Li, Lijuan
- DOI
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10.1515/ntrev-2024-0029
- URN
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urn:nbn:de:101:1-2405291546289.667428823939
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:50 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Li, Zhe
- Mao, Chaowu
- Cao, Liuxuan
- Miao, Huifang
- Li, Lijuan
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