Skip to content
Research Article Open access CC BY 4.0

DFT/B3LYP Investigation of Cola Acuminata Phytochemicals as Green Corrosion Inhibitors: Theory and Experimental Validation

Omogbehin Samson Adehuga, Umar Sheriff Itopa, Olatunji Olalekan

Journal of Materials Science Research and Reviews · pp. 696–704 · Published 26 Aug 2025

10.9734/jmsrr/2025/v8i3434

Abstract

This Study investigate the Quantum Chemical Study of Cola acuminata phytochemicals as inhibitors for Corrosion Control using The Hartree-Fock Density Functional Theory (HF-DFT) with the Becke 3 Lee Yang Parr (B3LYP) method. The aim of the study is to investigate the agreement between theory (quantum chemistry) and practice (experiments) for designing a more effective corrosion inhibitors using computational methods. Quantum chemical parameters such as EHOMO (highest occupied molecular orbital energy), E LUMO (lowest unoccupied molecular orbital energy), energy gap (ΔE), dipole moment (μ), Absolute Hardness (η), softness (S), electron affinity (A) and ionization energy (I) were calculated from the chemical structure obtained from Gas Chromatography - Mass spectrometry (GC-MS) and High-Performance Liquid Chromatography (HPLC). The results obtained revealed that Quantum chemistry calculations predicted that Myricetin in particular, have superior inhibition properties within the extracts of the Cola acuminata and can be use for designing even more effective corrosion inhibitors.

Computational methods Cola acuminata corrosion inhibitors DFT

Cited by 2

2 citations reported by external sources — individual citing-article records aren't available to list yet.

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

2

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.