Evidence map›Paper›PMID 41048986›Full record

ArticleData in brief2025

Computational dataset of cetyl trimethyl ammonium-anion complex structures and simulated infrared spectra.

Arun K Sharma, Owen McMillan

Abstract read
In one paragraph

Article in Data in brief, 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

2 authors.

Arun K SharmaDepartment of Biology and Chemistry, California State University, Monterey Bay, Seaside, CA 93955, USA.
Owen McMillanDepartment of Biology and Chemistry, California State University, Monterey Bay, Seaside, CA 93955, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This dataset presents computationally derived geometries and vibrational spectra of cetyl trimethyl ammonium ion pairs formed with three environmentally and chemically relevant anions: bisulfate, nitrate, and methyl sulfonate. Data were obtained using quantum chemical calculations performed using the Gaussian 16 software package, utilizing the ONIOM method at the second-order Møller-Plesset perturbation theory (MP2) level. To account for solvent effects and electrostatic screening, calculations incorporated an implicit solvent environment via the polarizable continuum model (PCM). The dataset includes optimized geometric coordinates, harmonic vibrational frequencies, and simulated infrared (IR) spectra for each cetyl trimethyl ammonium-anion pair. Additional computational details, including input parameters, computational settings, and scripts used for data processing, are provided as supplementary material to ensure complete transparency and reproducibility. Data collection involved initial construction and optimization of the molecular geometries of ion pairs, followed by calculation of vibrational modes at equilibrium. Distance-displacement scans were conducted and the ONIOM total electronic energies and geometries of these non-stationary structures are reported. This comprehensive dataset offers significant reuse potential for researchers investigating surfactant chemistry, computational spectroscopy, environmental chemistry, and related disciplines.

Indexed as

Cetyl trimethyl ammoniumIon pairsQuantum chemistrySurfactantsVibrational spectroscopy

Identifiers

PMID41048986
PMCPMC12495042

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.