Evidence map›Paper›PMID 39013157›Full record

ArticleThe journal of physical chemistry. A2024

Theoretical Study of Structural and Electronic Trends of the Sulfonylurea Herbicides Family.

Antonio Pulgar, Mónica Valentín, Clemens Rauer, Paula Pla, José-Luis Alonso-Prados, Pilar Sandin-España, Al Mokhtar Lamsabhi, Manuel Alcamí

Abstract read
In one paragraph

Article in The journal of physical chemistry. A, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

8 authors.

Antonio PulgarDepartamento de Química, Facultad de Ciencias, Módulo 13, Universidad Autónoma de Madrid, 28049 Madrid, Spain.
Mónica ValentínDepartamento de Química, Facultad de Ciencias, Módulo 13, Universidad Autónoma de Madrid, 28049 Madrid, Spain.
Clemens RauerDepartamento de Química, Facultad de Ciencias, Módulo 13, Universidad Autónoma de Madrid, 28049 Madrid, Spain.
Paula PlaDepartamento de Química, Facultad de Ciencias, Módulo 13, Universidad Autónoma de Madrid, 28049 Madrid, Spain.
José-Luis Alonso-PradosPlant Protection Products Unit/Plant Protection Department, National Institute for Agricultural and Food Research and Technology INIA-CSIC, Ctra. La Coruña, Km. 7.5, 28040 Madrid, Spain.
Pilar Sandin-EspañaPlant Protection Products Unit/Plant Protection Department, National Institute for Agricultural and Food Research and Technology INIA-CSIC, Ctra. La Coruña, Km. 7.5, 28040 Madrid, Spain.ORCID 0000-0003-0776-222X
Al Mokhtar LamsabhiDepartamento de Química, Facultad de Ciencias, Módulo 13, Universidad Autónoma de Madrid, 28049 Madrid, Spain.ORCID 0000-0002-1509-2513
Manuel AlcamíDepartamento de Química, Facultad de Ciencias, Módulo 13, Universidad Autónoma de Madrid, 28049 Madrid, Spain.ORCID 0000-0002-3753-5215

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sulfonylurea herbicide family has been extensively studied using computational techniques. The most stable conformer structures of the 34 molecules analyzed in gaseous, aqueous, and octanol phases have been determined. The study employed CREST conformational search methods along with the CENSO script to explore all possible conformational structures. Additional evaluations conducted at the B3LYP-D3/6-311+G(d,p) level have enabled the identification of intramolecular stability patterns across the various compounds. It has been discovered that stability is primarily determined by two factors: intramolecular hydrogen bonding involving an NH group adjacent to the sulfonyl group with either N donors or the nearby carbonyl group and potential π-π interactions between the aromatic rings of the molecules. These have been characterized through QTAIM and NCI population analyses. Furthermore, with the goal of developing predictive models for the physicochemical properties of pesticides that include the sulfonylurea family, a statistical analysis among the different properties of the studied molecules has been conducted. Significant correlations have been found between various properties, predicting a promising future for the prediction of characteristics that could assist laboratories in selecting among different pesticides.

Identifiers

PMID39013157
PMCPMC11284785

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.