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Record W4414071077 · doi:10.5267/j.ccl.2025.8.005

Comprehensive evaluation of a benzimidazole-1,3,4-oxadiazole derivative for corrosion protection of C38 steel in HCl: Experimental, molecular dynamics, monte carlo, and in silico pharmacokinetic approaches

2025· article· en· W4414071077 on OpenAlexvenueno aff
Assiya Atif, S. Ben Ameur, Ahmed Bendaoud, Rachid Hsissou, Said Jebbari, Houssine Ait Sir

Bibliographic record

VenueCurrent Chemistry Letters · 2025
Typearticle
Languageen
FieldChemistry
TopicSynthesis and biological activity
Canadian institutionsnot available
FundersUniversité Chouaib Doukkali
KeywordsCorrosionAdsorptionTafel equationCorrosion inhibitorMolecular dynamicsAqueous solutionADMEIn silicoDielectric spectroscopy

Abstract

fetched live from OpenAlex

In this study, 2-methyl-5-(2-methyl-1H-benzimidazol-5-yl)-1,3,4-oxadiazole, a novel heterocyclic compound derived from 1,3,4-oxadiazole, is synthesised and thoroughly characterised. Mass spectrometry, FTIR-ATR spectroscopy, ¹H-NMR, and ¹³C-NMR were used for structural elucidation. This compound's ability to inhibit corrosion in C38 steel in 1 M hydrochloric acid was examined using both stationary (potentiodynamic polarisation) and non-stationary (electrochemical impedance spectroscopy, EIS) electrochemical techniques. The inhibitor considerably decreased the corrosion current density, as shown by the Tafel polarisation curves, and its effectiveness improved with increasing concentration. Nyquist plots supported these results by showing that charge transfer resistance increased with immersion time, indicating stable surface adsorption and efficient protection. Monte Carlo (MC) and Molecular Dynamics (MD) simulations were performed on the Fe(110) surface in the presence of a simulated acidic aqueous environment in order to obtain molecular-level understanding of the inhibitor's adsorption behaviour. These simulations supported the high inhibition efficiency observed in experiments by confirming strong adsorption energies and stable conformations of the inhibitor on the metallic surface. Moreover, molecular docking studies revealed the compound's multi-target binding affinities, which frequently outperformed reference ligands and indicated the possibility of wider biological applications. Although hepatotoxicity was noted as a possible concern that required additional biological validation, in silico ADME and toxicity profiling showed generally positive pharmacokinetic properties. This multidisciplinary strategy, which combines computational modelling, pharmacological profiling, and experimental electrochemistry, highlights the potential of this benzimidazole–oxadiazole derivative as a dual-purpose corrosion inhibitor and bioactive candidate.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.079
GPT teacher head0.311
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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