Evidence map›Paper›PMID 40893252›Full record

ArticleACS omega2025

Structural and Dynamical Insights into Acetonitrile-Water Mixtures: A Molecular Dynamics Study of Self-Diffusion, Reorientational Correlation Times, and Temperature-Dependent Behavior.

Salah Bouazizi, Sahbi Ayachi, Salah Nasr

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Salah BouaziziLaboratory of Advanced Multifunctional Materials and Technological Applications (LR24ES04), Faculty of Sciences and Technologies of SidiBouzid, University of Kairouan, Kairouan 3100, Tunisia.ORCID https://orcid.org/0000-0003-2034-9165
Sahbi AyachiLaboratory of Physico-Chemistry of Materials (LR01ES19), Faculty of Sciences, University of Monastir, Avenue of the Environment, Monastir 5019, Tunisia.ORCID https://orcid.org/0000-0003-1526-4298
Salah NasrLaboratory of Physico-Chemistry of Materials (LR01ES19), Faculty of Sciences, University of Monastir, Avenue of the Environment, Monastir 5019, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study investigates the structural and dynamical properties of acetonitrile-water mixtures using molecular dynamics simulations over a broad range of acetonitrile molar fractions (0.0 to 1.0) and temperatures (298-348 K). The dielectric constant, recognized as one of the slowest-converging dynamical properties, exhibited consistent stabilization across all systems after approximately 20 ns. Particular attention is given to the self-diffusion coefficients and reorientational correlation times of key molecular vectors in both solvents. Structural analysis based on radial distribution functions reveals that the nearest neighbor interactions between acetonitrile molecules occur within the 2.85-4.00 Å range. With increasing acetonitrile concentration, the self-diffusion coefficient of acetonitrile increases progressively, whereas that of water exhibits a nonlinear dependence on the acetonitrile content. Reorientational correlation times for the OH and dipole moment vectors of water molecules exhibit nonlinear trends as a function of acetonitrile molar fraction, whereas the correlation time for the acetonitrile dipole moment decreases progressively with increasing acetonitrile concentrations. For all systems, self-diffusion coefficients increase with temperature, while reorientational correlation times decrease. In these mixtures, water molecules undergo reorientation via a jump rotation mechanism.

Identifiers

PMID40893252
PMCPMC12392041

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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.