Evidence map›Paper›PMID 41811221›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2026

Ion Adsorption at Surfaces from Local and Global Electroneutrality Constraints.

Elizabeth A Ploetz, Paul E Smith

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Elizabeth A PloetzDepartment of Chemistry, Kansas State University, Manhattan, Kansas 66506, United States.ORCID 0000-0001-9812-0198
Paul E SmithDepartment of Chemistry, Kansas State University, Manhattan, Kansas 66506, United States.ORCID 0000-0002-5565-3274

Funding

Theory and Simulation of Local Electroneutrality and Ion Atmospheres in Biological SystemsR01GM148560 · NIGMS · KANSAS STATE UNIVERSITY · PI PAUL E SMITH · 2023 to 2026
$1.2M
NIGMS NIH HHS R01 GM148560
6 · The paper itself

Abstract

Ion adsorption or exclusion from surfaces plays a major role in many systems and processes. Unfortunately, thermodynamic information characterizing the relative surface adsorption of individual ions is not currently available from approaches based on the Gibbs adsorption isotherm for mixed electrolytes without approximation. Here, we address this issue for electrolyte solutions containing any number of components at any concentration in a single phase in the presence of any type of fixed charged or uncharged surface in the absence of chemisorption or other chemical reactions. This is achieved by reference to local and global electroneutrality requirements between integrals over the surface-ion distributions. The results indicate that the surface-ion distribution integrals can be decomposed into two independent contributions: one that leads to surface charge neutralization, and the other that explains the surface thermodynamics. The resulting surface-ion integral relationships obtained here indicate exactly how the presence of additional electrolytes affects the surface distribution of any target ion of interest. The validity of the resulting relationships is confirmed using classical all atom explicit solvent molecular dynamics simulations. Using these relationships, one can then obtain individual relative surface-ion adsorptions from experimental data. We illustrate how to use the approach to extract more detailed information from experimental data than was previously available for two experimental mixed electrolyte systems involving vacuum electrolyte solution interfaces. The approach is exact and does not require a particular model for the surface region or the use of single ion chemical potentials.

Identifiers

PMID41811221
PMCPMC13002105

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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.