Potential Corrosion Inhibitor Research Articles

Phytochemicals as eco-friendly corrosion inhibitors for mild steel in sulfuric acid solutions: a review

Abstract Plant extracts represent abundant sources of biomolecules distributed throughout various plant parts. These biomolecules are extracted using diverse solvents and methods. Within these plant extracts lie bioactive compounds, known for their antioxidant properties and anticorrosive capabilities. Detecting and isolating these active biomolecules from plant extracts necessitates analytical techniques such as gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry. The active biomolecules within plant extracts contain heteroatoms within their structures, facilitating their adsorption on steel surfaces and conferring corrosion inhibition properties. The advantages of plant extracts as green corrosion inhibitors include ready availability, ease of application, eco-friendly characteristics, and cost-effectiveness. These extracts adhere to steel surfaces, blocking their active sites and effectively reducing the corrosion rate. This review consolidates the findings on the corrosion inhibition potential of plant extracts from various plant parts, elucidating their performance in different concentrations of sulfuric acid.

Verbena officinalis (VO) leaf extract as an anti-corrosion inhibitor for carbon steel in acidic environment

In the present work, Verbena Officinalis (VO) leaf extract was used as potential corrosion inhibitor for the corrosion of carbon steel (CS) in 0.5 M H2SO4 medium. Further, the corrosion inhibiting nature of VO leaf extract towards the CS was evaluated using mass loss (ML), potentiodynamic polarization (PDP), electrical impedance spectroscopy (EIS) and surface morphological analyses using atomic force microscope (AFM) and X-ray photoelectron spectroscopy (XPS) techniques. Calculation of activation energy Ea∗\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\left( {{\ ext{E}}_{{\ ext{a}}}^{*} } \\right)$$\\end{document} using Arrhenius equation shows the increase in activation energy when adding the VO leaf extract in 0.5 M H2SO4 medium and the maximum activation energy (Ea∗\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext{E}}_{{\ ext{a}}}^{*}$$\\end{document} = 49.9 kJ mol−1) was observed for 1000 mg L−1 VO leaf extract in acid medium. The negative free energy values suggested the spontaneous and the stability of the adsorbed layer of VO leaf extract on the CS surface. Using EIS measurements, high percent inhibitory effectiveness of 91.1% for 1000 ppm solutions was achieved. With an increase in VO leaf extract dose, the double layer capacitance (Cdl) values fall while the values of charge transfer (Rct) increase. This showed that a protective layer of VO leaf extract on CS surface was formed. The polarization curves showed that the VO leaf extract acts as a mixed-type inhibitor. It is discovered that the adsorption of VO leaf extract molecules adhering to the CS surface followed the Langmuir isotherm. The anti-corrosion action of VO leaf extract is fully demonstrated by some surface techniques.

Experimental accompanied with computational (atomic/electronic)-level simulation investigations of Polygonum cuspidatum root extract as sustainable corrosion inhibitor for mild steel in aggressive corrosive media.

This study investigates the corrosion inhibition potential of Polygonum cuspidatum root extract (PCRE) on mild steel in a 0.5M HCl acidic environment. Herein, various techniques including electrochemical and gravimetric measurements were employed, along with scanning electron microscopy (SEM) and contact angle (CA) measurements for surface morphology analysis. The impedance study revealed a concentration-dependent enhancement in corrosion resistance, classifying PCRE as a mixed-type inhibitor (i.e., inhibits both anodic and cathodic reactions). The highest efficiency, 96.71% at 298K, was observed at a 1000-ppm PCRE concentration. Langmuir model computations suggested chemisorption and physisorption of PCRE on the electrode substrate. Increased Rp (from 28.648 to 174.01 Ω) and Rct (185.74 Ω cm2) at 1000ppm demonstrated improved corrosion resistance. Additionally, SEM analysis displayed a uniform, protective surface, reducing metal degradation. Theoretical calculations highlighted strong interactions between PCRE and mild steel, with a low energy gap (ΔE), as follows: 1-O-methylemodin (2.267eV) < emodin (2.288eV) < emodin-1-O-glucoside (2.343eV) < piceid (2.931eV) < resveratrol (2.952eV), confirming PCRE's excellent micro-level anti-corrosion capabilities. This eco-benign corrosion inhibitor offers sustainable, low-toxicity protection, cost-effectiveness, and versatile performance, surpassing commercial counterparts while aligning with sustainability goals.

Regio- and chemoselective synthesis of new isoxazolyl-linked benzimidazolones via 1,3-dipolar cycloaddition: Characterization, corrosion studies, density functional theory, and Monte Carlo simulations

In this study, novel compounds, isoxazolyl-benzimidazolone (AE1) and isoxazolinylbenzimidazolone (AE2), were synthesized and characterized using various spectroscopic methods. This involved employing 1,3-dipolar cycloaddition techniques with 2,4,6-trimethoxylbenzonitrile N-oxide and mesitonitrile-oxide in combination with “1-cyclohex-1-en-1-yl-3-propargyl-benzimidazolone” or “1-cyclohex-1-en-1-yl-3-allylbenzimidazolone”. The structural identification of these newly formed cycloadducts was achieved through comprehensive analytical and spectral analyses. The two heterocyclic compounds, AE1 and 2, have been investigated into their corrosion inhibition potential of mild steel (MS) in 1.0 M HCl, utilizing diverse analysis methods such as Potentiodynamic Polarization (PDP), Electrochemical Impedance Spectroscopy (EIS), Scanning Electron Microscopy (SEM), and Energy Dispersive X-ray (EDX) techniques. The outcomes revealed significant corrosion inhibition, with AE1 displaying the highest effectiveness (97.2 %), followed closely by AE2 (95.8 %) at 10−4M. The inhibitors were observed to adhere to the MS surface following Langmuir isotherms, and their adsorption and thermodynamic characteristics were thoroughly assessed. Moreover, Density Functional Theory (DFT) and Monte Carlo (MC) simulations corroborated the robust adsorption capability of these organic chemicals on the MS surface.

Kopsia terengganensis’ alkaloids as potential green inhibitors for mild steel corrosion in CO2-saturated 3.5% NaCl medium

The corrosion inhibition potential of alkaloids from Kopsia terengganensis bark extract (KTBE) in mitigating the mild steel corrosion in a CO2-saturated 3.5% NaCl medium was evaluated. Standard corrosion evaluation methods, including weight loss test, electrochemical impedance spectroscopy (EIS), and potentiodynamic polarization (PD) were employed, which revealing a concentration-dependent enhancement in KTBE's inhibition efficiency. At 500 ppm, the corrosion inhibition efficiency recorded the highest value of 90.63% based on the weight loss study and 87.38% based on electrochemical analysis. Tafel slopes in PD studies affirmed that KTBE functioned as an anodic-type inhibitor. The adsorption of the inhibitor is in accordance with the Langmuir adsorption isotherm with an adsorption free energy (ΔG°ads) of −26.47 kJ/mol, suggesting the binding of KTBE molecules by means of physisorption. Surface analysis conducted through scanning electron microscopy (SEM), energy dispersive X-ray (EDX) spectroscopy, and Fourier transform infrared spectroscopy (FTIR) confirmed the formation of a protective inhibitive layer on the surface of mild steel. The proposed corrosion inhibition mechanism involves electrostatic interactions between KTBE molecules and the mild steel surface. This comprehensive investigation underscores KTBE's potential as an effective corrosion inhibitor in corrosive environments.

UV radiation effect on the corrosion inhibition potential of Helichrysum kraussii plant extract on mild steel metal in sulphuric acid medium

The comparison of the effect of UV-radiated and non-radiated Helichrysum kraussii (H. kraussii) extracts was studied for mild steel corrosion in 1.0 M H2SO4 at 30–60 °C using Liquid chromatography-mass spectrometry (LCMS), gravimetric weight loss analysis, electrochemical analysis and Fourier Transform Infrared spectroscopy (FTIR). The LCMS confirmed the trans-to-cis shift geometrical isomerisation for H. kraussii due to UV radiation. From the gravimetric analysis data, the corrosion rate was calculated and found to be decreasing with an increase in the concentration of the inhibitor extracts, with the highest concentration at 30 °C having a corrosion rate of 3.920x10-4 and 1.700x10-4 g.cm2.h−1 for UV-radiated. Non-radiated H. kraussii extract gave the highest inhibition efficiency of 96.663 % compared to 92.503 % of the UV-radiated H. kraussii extract. The semi-circles diameter of the Nyquist plot from the electrochemical impedance spectroscopy (EIS) was found to increase with an increase in the inhibitor concentration, suggesting the increase in inhibition with an increase in the concentration of the two extracts. Functional groups such as C = C, O-H, and N-H, known to be functional groups of the most effective corrosion inhibitors, were observed for both extracts from FTIR. Based on the results obtained, it was found that the UV-radiated H. kraussii extract was more effective in inhibiting the corrosion of mild steel in sulphuric acid than the non-radiated H. kraussii extract. This suggests that UV radiation decreases the efficiency of the H. kraussii extract as a corrosion inhibitor for mild steel in H2SO4. Therefore, it is recommended that the H. kraussii extract be used only as a corrosion inhibitor for mild steel in 1.0 M H2SO4 in its original state without being exposed to UV radiation.

Synergistic corrosion inhibition of rubber seed extract with KI on cold rolled steel in sulfuric acid solution

BackgroundPlant-based inhibitor has emerged an important topic owing to the combing merits of eco-friendly, low cost, rich natural resources as well as easy preparation. Rubber seed is the agricultural waste, and is mainly composed of oil and fatty acids those contain many polar oxygen atoms, and so it can be extracted to prepare the potential corrosion inhibitor. MethodsRubber seed extract (RSE) is prepared using reflux extraction method with the extracting solvent of ethanol aqueous solution. The synergistic inhibition effect of RSE and potassium iodide (KI) on the corrosion of cold rolled steel (CRS) in 0.50 M H2SO4 solution is firstly studied by weight loss, potentiodynamic polarization (PDP) curves and electrochemical impedance spectroscopy (EIS) methods. CRS surface was thoroughly characterized using metallographic microscope, scanning electron microscope (SEM), atomic force microscope (AFM), X-ray photoelectron spectroscopy (XPS) and contact angle measurements. FTIR, UV–vis and liquid chromatography mass spectrometry (LC-MS) compositional analysis of RSE were used to analyze the efficient components in RSE. Significant findingsThe results indicate that individual RSE or KI cannot function as a successful inhibitor to prevent CRS corrosion, but the mixture of RSE/KI performs better at inhibiting, with a maximal inhibition efficacy of up to 96.4% of 200 mg L−1 RSE/100 mg L−1 KI. The synergistic coefficient of the mixture is larger than 1, indicating that a true synergism. RSE/KI can drastically retard both cathodic and anodic processes, and interfacial capacitance falls as the charge transfer resistance of CRS/solution rises. It exhibits remarkable inhibition properties when the capacitor arc grows. There is only a small corrosion response in the inhibited media, as evidenced by the variations in electrical conductivity and ultraviolet spectrum before and after immersion. The hydrophilicity and surface roughness of CRS surface is dropped as a result of the introduction of RSE/KI. A series of metallurgical microscopy, AFM, SEM or contact angle tests indicate a synergistic inhibition effect is more pronounced for RSE/KI. XPS results clearly demonstrate that elements including Fe, S, N, and I are bonded to the surface of CRS. The primary ingredients of oleic acid, polyphenols, phenylpropanoids can also produce a strong synergism with KI.

Ab initio exploration of modified carbon nanotubes as potential corrosion inhibitors

In order to develop novel unexplored potential corrosion inhibitors, covalently modified single-walled carbon nanotubes (SWCNT) via benzoic (–PhCOOH) and aniline (–PhNH2) groups are being investigated as corrosion inhibitors for the first time. Utilizing a comprehensive approach, this study employed density functional theory (DFT), Monte Carlo (MC), and molecular dynamics simulations (MD) to assess the adsorption behavior of modified nanotubes as corrosion inhibitors on the Cu(111) surface within a simulated aqueous HCl corrosion medium. The results provided molecular information on the adsorption capability, geometry adsorption centers, and adsorption energies (Eads) of carbon nanotubes on the surface of Cu(111). The adsorption energy values unveiled robust interactions between SWCNT–PhCOOH and SWCNT–PhNH2 inhibitors and the Cu(111) surface, suggesting a highly effective corrosion protection mechanism. The calculated Eads values exhibited notable ranges, spanning from –260.82 to –308.18 kcal/mol for SWCNT–PhCOOH and –220.92 to –261.01 kcal/mol for SWCNT–PhNH2 with the maximum probability values, representing the most favorable adsorption scenarios, determined to be –292.96 and –229.39 kcal/mol, respectively. A key insight from Monte Carlo simulations underscored the inherent spontaneity of the adsorption process, corroborated by the consistently negative Eads values. These findings collectively underscore the substantial affinity of the inhibitors to the copper surface, contributing to a deeper comprehension of their corrosion inhibition capabilities.

The inhibitor activity of some azo compound derivatives using density functional theory and molecular dynamics simulations

Corrosion poses a significant challenge for metals and alloys, carrying considerable economic and safety consequences. Various manufacturing processes, including surface preparation techniques, further exacerbate it. While corrosion inhibitors are employed to safeguard these materials from corrosion, they can also induce oxidative damage. This study aims to determine the corrosion inhibition efficiency of the specified materials. Density Functional Theory (DFT) and molecular dynamics simulations (MDS) were used to investigate the electronic characteristics of diverse compounds. The study included key parameters including highest occupied molecular orbital energy (EHOMO), lowest unoccupied molecular orbital energy (ELUMO), energy gap (Eg) between ELUMO and EHOMO, dipole moment, global hardness, softness (σ), ionization energy (I), electron affinity (A), electronegativity (χ), back-donation energy Eb-d, global electrophilicity (ω), electron transfer, global nucleophilicity (ε), and total energy (sum of electronic and zero-point energies). The calculations were executed utilizing the DFT method, employing a 6-311G++(d,p) basis set at the B3LYP level. Our research aimed to rank materials based on their effectiveness in inhibiting corrosion by considering EHOMO, ELUMO, and Eg. The order of effectiveness was found to be as follows: S4 > S3 > S1 > Mad1 > Mad3 > Mad4 > P-azo > Bad4. Additionally, our Investigation delved into alterations in electron affinity (A) and ionization potential (I) within different solvent phases, highlighting their importance in determining the chemical reactivity and stability of the studied compounds. The reactive sites were selected using Fukui indices, and the molecular electrostatic potential (MESP) surface was characterized—a Monte Carlo simulation to further understand these chemicals' adsorption behavior on Fe (110) surfaces. Our findings revealed that these compounds exhibit corrosion inhibition potential due to their high EHOMO, A, σ, ΔN, ΔE-back-donation, and low Eg, ELUMO, I, and η. Moreover, our MESP surface analysis demonstrated their ability to donate electrons to the metal's d-orbitals and receive electrons through back-donation. The compounds investigated in this study exhibit the potential to be employed as corrosion inhibitors in various industrial sectors. As a result, through the use and determination of quantum computational chemistry parameters, the level of corrosion resistance was as follows S3 > S1 > Bad4 > Mad4 > Mad3 > S4 > Mad1 > P-azo.

Evaluation of vateria indicia leaves extract as a green source of potential corrosion inhibitor against mild steel corrosion in 1M HCl solution: electrochemical, and surface characterisation studies

Evaluation of vateria indicia leaves extract as a green source of potential corrosion inhibitor against mild steel corrosion in 1M HCl solution: electrochemical, and surface characterisation studies

A Machine Learning Model for Evaluation of the Corrosion Inhibition Capacity of Quinoxaline Compounds

Investigating potential corrosion inhibitors via empirical research is a labor- and resource-intensive process. In this work, we evaluated various linear and non-linear algorithms as predictive models for corrosion inhibition efficiency (CIE) values using a machine learning (ML) paradigm based on the quantitative structure-property relationship (QSPR) model. In the quinoxaline compound dataset, our analysis showed that the XGBoost model performed the best predictor of other ensemble-based models. The coefficient of determination (R2), mean absolute percentage error (MAPE), and root mean squared error (RMSE) metrics were used to objectively assess this superiority. To sum up, our study offers a fresh viewpoint on the effectiveness of machine learning algorithms in determining the ability of organic compounds like quinoxaline to suppress corrosion on iron surfaces.

Isoindigo derivatives as some potential corrosion inhibitors for mild steel in hydrochloric acid solution: Synthesis, experimental and theoretical studies

This investigation synthesized two isoindigo derivatives (IIDBr-NBr and IIDBr-MBr). These derivatives were then applied as green corrosion inhibitors for mild steel in a 1 mol L−1 HCl aqueous solution. The study investigated the corrosion inhibition performance of IIDBr-NBr and IIDBr-MBr through electrochemical and weight loss (WL) measurements, as well as surface analysis (SEM, AFM and XPS). The results showed that both IIDBr-NBr and IIDBr-MBr exhibited excellent corrosion inhibition performance (inhibition efficiency of 96.27 % for IIDBr-NBr and 96.46 % for IIDBr-MBr). Quantum chemical calculations based on density functional theory (DFT) and molecular dynamics (MD) were used to reveal the adsorption mechanisms of IIDBr-NBr and IIDBr-MBr at the steel/solution interface.

CUCURBITA PEPO FLOWER EXTRACT AS A CORROSION INHIBITOR FOR MILD STEEL IN ACIDIC MEDIUM

An investigation into the corrosion inhibition potentials of the flower of Cucurbita pepo was undertaken. The gravimetric and gasometric methods of corrosion measurements were employed at temperatures of thirty and sixty degree celcius. Ethanoic extract of the flower of Cucurbita pepo was used as a corrosion inhibitor in 0.5 M HCl and the results revealed that it mitigated the corrosion of mild steel in the acidic medium. The inhibition efficiency of the plant increased with concentration and it is temperature dependent. The experimental data fitted to the Temkin adsorption isotherm model. A mechanism of physical adsorption is proposed for the corrosion inhibition process. This work provides novel information on the possibility of using the flower of Cucurbita pepo as a corrosion inhibitor.

INVESTIGATION OF CORROSION INHIBITION POTENTIAL OF HYPHAENE THEBAICA SHELLS EXTRACT ON TANNERY MACHINES PARTS IN ACIDIC MEDIUM

Corrosion inhibition potential of ternary machine part was investigated by using ethanoic extract of hyphaene thebaica shells as inhibitor at different temperature of 313K and 333K. The Tannery machines part which are majorly made up of mild steels are subjected to harsh conditions, which include exposure to moisture, air, acid, base, salt and other environmental components that causes corrosion on machines’ parts. The aim of this research was to generate measurable and testable data towards the control of corrosion using plant (hyphaene thebaica shells ethanolic extracts) as inhibitor. This was accomplished through the determination of inhibitor’s performance by weight loss techniques, determination of metal-inhibitor interaction mechanism using kinetic parameters and adsorption isotherms (Langmuir and Temkin), the corrosion process through the use of exposure time, phytochemicals of the shell extracts, inhibitor concentration, media concentration, temperature, initial weight of metal and the weight of the metals in every 2 hours for a total of 6 hours. A weight loss technique was adopted and the weights of the mild steel were recorded every 2 hrs for 6 hrs. The highest inhibition efficiency (78.44%) was attained at 333 K for 0.1 g/dm3 concentration of the plant inhibitor. Inhibition efficiency decreased with further increase in the temperature. The green inhibitor was found to be effective because it is ecofriendly, inexpensive and biodegradable.

Research on synthesis of imidazole-based ionic liquids as metal corrosion inhibitors

Ionic liquids (ILs) have gained significant attention in recent years as potential corrosion inhibitors to various applications. Traditional corrosion inhibitors, such as organic compounds and inorganic salts, have limitations in terms of toxicity, volatility, and environmental impact. However, ionic liquids offer a promising alternative. Ionic liquids are salts that exist in a liquid state at or below 100 degrees Celsius. They typically comprise an organic cation and an inorganic or organic anion. The unique combination of a liquid state and ionic nature gives them several advantageous properties, such as high thermal stability, low vapor pressure, and tunable physicochemical properties. Additionally, the charged nature of the ionic liquid allows for electrochemical interactions with the metal surface, further enhancing corrosion inhibition. In this paper, imidazole-based ionic liquids were synthesized by alkylation of imidazole derivatives using 1-bromohexadecane. The anti-corrosion properties of the material were evaluated using the weight method and potentiodynamic polarization method. Results showed that the synthesized ILs are good corrosion inhibitor for CT3 steel.

Enhancing Corrosion Resistance of Mild Steel in 1M HCl: Investigation of New Benzoxazepine Derivatives Through Synthesis, Electrochemical Analysis, Surface Analysis, XPS, DFT, and Molecular Dynamics Simulation

AbstractThis research delineates the corrosion inhibitory efficiency of two newly synthesized benzoxazepine derivatives – [3,3‐dimethyl‐11‐phenyl‐3,4,5,11‐tetrahydrodibenzo[b,e] [1,4]oxazepine‐1(2 H)‐one (S1)] and [11‐(4‐chlorophenyl)‐3,3‐dimethyl‐3,4,5,11‐tetrahydrodibenzo[b,e][1,4]oxazepine‐1(2 H)‐one (S2)] – on mild steel in 1M HCl milieu. These derivatives were characterized by proton (1H NMR) and carbon (13C NMR) nuclear magnetic resonance spectroscopy. The experimental approach encompassed potentiodynamic polarization (PDP) and electrochemical impedance spectroscopy (EIS) techniques. The corrosion inhibition efficacy of S1 and S2 was concentration‐dependent, with their efficiencies peaking at 92.0 % and 92.1 %, respectively, at a 10−3 M concentration. Surface characterization, conducted using scanning electron microscopy (SEM), energy‐dispersive X‐ray analysis (EDS), X‐ray diffraction (XRD), contact angle measurements, and X‐ray photoelectron spectroscopy (XPS), corroborated the formation of a protective barrier layer on the mild steel surface. Additionally, using an inductive approach, UV‐visible spectrometry was employed to elucidate the adsorption behaviors of these inhibitors on the steel surface. Density functional theory (DFT) and molecular dynamics (MD) simulations were utilized to decipher the interaction mechanisms and adsorption modalities, unveiling critical insights into the interactions of S1 and S2 with the mild steel surface. This comprehensive analysis highlights the robust corrosion inhibition potential of the newly synthesized benzoxazepine derivatives and illuminates their prospective utility as effective inhibitors for mild steel in corrosive environments.

Investigation of the effect of halide counterions on the potential corrosion inhibitor in imidazolium-based ionic liquids

Imidazolium (IMZ)-based ionic liquids (ILs) with various counter ions were investigated as potential corrosion inhibitors. Furthermore, parameters such as bond lengths, bond angles, and dihedral bonds were investigated to demonstrate the adsorption sites of molecules. Moreover, in order to compare the efficiency of the inhibitors, other parameters such as energy gap, hardness, the LUMO, and the HOMO were investigated. The HOMO and LUMO values increased from −4.370 and −0.106 eV to −4.959 and −0.156 eV, respectively, by changing F− to I−. Moreover, the softness of the IMZ base changed from 0.469 to 0.417 eV by increasing the radius of the halide ion. The trend of the band gap value in going from F− to I− changes from 4.264 to 4.797 eV. The total electron density was computed to show the adsorption sites based on the electron density. According to the molecular reactivity results, the inhibitory efficiency of the inhibitors was in the following order: BMI-F > BMI-Cl > BMI-Br > BMI-I. Investigating the IMZ-based ILs with various counterions to evaluate the inhibition profile of molecules provides useful insights into computational protocols for the study of corrosion inhibitors.

Green Ostrich fat waste extracts as a novel potential inhibitor to sustainable corrosion of steel in acidic environments: Electrochemical and DFT evaluation

The shift from traditional chemical corrosion inhibitors to green alternatives, focusing on plant extracts (GCIs), addresses environmental concerns in line with sustainable development goals. An innovative approach explores animal-derived extracts for eco-friendly corrosion inhibition, addressing environmental issues associated with conventional chemical inhibitors. Ostrich Oil, renowned for its nutritional, cosmetic, and pharmaceutical properties, is examined as a potential green corrosion inhibitor for C38 steel in 1 M hydrochloric. Extracted and characterized through GC-FID, Ostrich Oil exhibits corrosion protection analyzed via impedance spectroscopy, potentiodynamic polarization, and gravimetric methods. Complementary SEM and metallurgical microscopy with EDS offer surface insights. DFT and MD simulations explore the relationship between electronic properties and inhibition efficiency. Results show Ostrich Oil's significant corrosion inhibition (up to 94%), attributed to chemical adsorption of fatty compounds. The corrosion mechanism is influenced by Oil extract adsorption, increasing double electrochemical layer resistance. Gas chromatography identifies main compounds, and quantum chemical calculations highlight its reactivity. This research underscores the potential of animal-derived extracts, exemplified by Ostrich Oil, as effective and environmentally friendly corrosion inhibitors, contributing to sustainable corrosion protection practices.

Implementation of Polynomial Functions to Improve the Accuracy of Machine Learning Models in Predicting the Corrosion Inhibition Efficiency of Pyridine-Quinoline Compounds as Corrosion Inhibitors

Historically, the exploration of corrosion inhibitor technology has relied extensively on experimental methodologies, which are inherently associated with substantial costs, prolonged durations, and significant resource utilization. However, the emergence of ML approaches has recently garnered attention as a promising avenue for investigating potential materials with corrosion inhibition properties. This study endeavors to enhance the predictive capacity of ML models by leveraging polynomial functions. Specifically, the investigation focuses on assessing the effectiveness of pyridinequinoline compounds in mitigating corrosion. Diverse ML models were systematically evaluated, integrating polynomial functions to augment their predictive capabilities. The integration of polynomial functions notably amplifies the predictive accuracy across all tested models. Notably, the SVR model emerges as the most adept, exhibiting R² of 0.936 and RMSE of 0.093. The outcomes of this inquiry underscore a significant enhancement in predictive accuracy facilitated by the incorporation of polynomial functions within ML models. The proposed SVR model stands out as a robust tool for prognosticating the corrosion inhibition potential of pyridine-quinoline compounds. This pioneering approach contributes invaluable insights into advancing machine learning methodologies geared toward designing and engineering materials with promising corrosion inhibition properties.&#x0D; Keywords: machine learning, polynomial, corrosion inhibition, pyridine-quinoline

Experimental and computational studies on the corrosion inhibition potential of a novel synthesized thiophene and pyridine-based 1,3,4-oxadiazole hybrid against mild steel corrosion in 1 N HCl.

A convenient synthesis of a novel 1,3,4-oxadiazole derivative, specifically known as, 2-(5-methylthiophen-2-yl)-5-(pyridin-3-yl)-1,3,4-oxadiazole (MTPO), is reported along with a comprehensive evaluation of its ability to inhibit the corrosion of mild steel (MS) in a 1 N HCl environment using weight loss, EIS, PDP, SEM, EDX, and UV-Vis spectroscopy. The investigated inhibitor expressed excellent inhibition efficiency (99.05% at 500ppm, 298K) with a mixed-type inhibitory mechanism as demonstrated by the PDP technique. Furthermore, MTPO followed Langmuir adsorption isotherm, which provides insights into the adsorption phenomena, demonstrating that it exhibits superior adsorption behavior on the MS surface compared. In silico investigations, using DFT computation and MD simulation complements the experimental outcomes revealing strong adsorbing attributes of the MTPO hybrid with the ω - and ω + values of 8.8882eV and 4.4787eV, respectively. In addition, the radial distribution function also addressed the chemisorption behavior of MTPO. This article also takes into consideration the various ways in which the inhibitor interacts with the mild steel, offering potential insights for developing strategies to mitigate metal dissolution in acidic environments.