Evidence map›Paper›PMID 41295042›Full record

ArticleMembranes2025

Relaxed Boundary Conditions in Poisson-Nernst-Planck Models: Identifying Critical Potentials for Multiple Cations.

Xiangshuo Liu, Henri Ndaya, An Nguyen, Zhenshu Wen, Mingji Zhang

Abstract read
In one paragraph

Article in Membranes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiangshuo LiuCollege of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266510, China.
Henri NdayaDepartment of Mathematics, New Mexico Institute of Mining and Technology, Socorro, NM 87801, USA.
An NguyenDepartment of Mathematics, New Mexico Institute of Mining and Technology, Socorro, NM 87801, USA.ORCID 0009-0004-2384-6719
Zhenshu WenSchool of Mathematical Sciences, Huaqiao University, Quanzhou 362021, China.ORCID 0000-0002-2083-6396
Mingji ZhangDepartment of Mathematics, New Mexico Institute of Mining and Technology, Socorro, NM 87801, USA.

Funding

Simons Fundation 628308
6 · The paper itself

Abstract

Ion channels are protein pores that regulate ionic flow across cell membranes, enabling vital processes such as nerve signaling. They often conduct multiple ionic species simultaneously, leading to complex nonlinear transport phenomena. Because experimental techniques provide only indirect measurements of ion channel currents, mathematical models-particularly Poisson-Nernst-Planck (PNP) equations-are indispensable for analyzing the underlying transport mechanisms. In this work, we examine ionic transport through a one-dimensional steady-state PNP model of a narrow membrane channel containing multiple cation species of different valences. The model incorporates a small fixed charge distribution along the channel and imposes relaxed electroneutrality boundary conditions, allowing for a slight charge imbalance in the baths. Using singular perturbation analysis, we first derive approximate solutions that capture the boundary-layer structure at the channel-reservoir interfaces. We then perform a regular perturbation expansion around the neutral reference state (zero fixed charge with electroneutral boundary conditions) to obtain explicit formulas for the steady-state ion fluxes in terms of the system parameters. Through this analytical approach, we identify several critical applied potential values-denoted Vka (for each cation species

Indexed as

critical potentialsionic flowsPNP

Identifiers

PMID41295042
PMCPMC12654303

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.