An environmentally friendly formulation based on Cannabis sativa L. seed oil for corrosion inhibition of E24 steel in HCl medium: Experimental and theoretical study

Damej, M.; Skal, S.; Aslam, Jeenat; Zouarhi, Meryem; Erramli, Hamid; Alrashdi, Awad A.; Lee, Han-Seung; Aoufir, Yasmina El; Lgaz, Hassane

doi:10.1016/j.colsurfa.2022.128745

Cited by 33 publications

(12 citation statements)

References 45 publications

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“…It is widely acknowledged that a molecule with the highest E HOMO has the greatest proclivity to donate electrons to an electron-deficient group. Contrariwise, E LUMO indicates the accepting mechanism . Thus, the obtained computational data in the aqueous phase for E HOMO is high compared to the gas phase value.…”

Section: Resultsmentioning

confidence: 78%

Synthesis, Characterization, and Evaluation of Co-MOF Based ZIF-67 for CO₂ Corrosion Inhibition of X65 Steel: Insights from Electrochemical Studies and a Machine Learning Algorithm

et al. 2023

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Co-MOF based metal organic framework was synthesized by reacting a metal ion (cobalt nitrate hexahydrate) with an organic ligand (2-methylimidazole) via a wet chemical method. The resulting material was characterized using detailed analytical methods and further was used as a self-assembly corrosion inhibitor in sweet corrosive environment. The empirical data set via electrochemical studies was modeled using adaptive neuro fuzzy inference system (ANFIS). The observed results showed that Co-MOF could significantly impede the corrosion rate of X65 steel and protect it from CO 2 corrosion. Increasing the concentration of Co-MOF in the test solution increased the inhibition efficiency up to 97% at 0.1 wt % Co-MOF with a mixed-type inhibition mechanism. In addition, the DFT/MD-simulation approach evidenced the adsorption disposition of Co-MOF in aqueous and gas phase which complement with the empirical findings. Also, the prognostic capability of the proposed algorithm based on the statistical parameters such as root-mean-square error (RMSE), chi square (χ 2 ), model predictive error (MPE) and coefficient of determination (R 2 ) were appraised. From the viewpoint of statistics, the explanatory model aligned credibly with the ANFIS algorithm. The overall findings confirmed a dense hybrid coating of the synthesized Co-MOF on X65 steel as responsible for the inhibition of the sweet corrosion.

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Section: Resultsmentioning

confidence: 78%

Synthesis, Characterization, and Evaluation of Co-MOF Based ZIF-67 for CO₂ Corrosion Inhibition of X65 Steel: Insights from Electrochemical Studies and a Machine Learning Algorithm

et al. 2023

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“…Moreover, increased concentrations of CO-GO trigger a shift toward positive corrosion potentials ( E corr ). Furthermore, in the presence of inhibitors, the cathodic and anodic currents decreased, suggesting that the prepared CO-GO can be labeled as a mixed-type corrosion inhibitor with anodic control. , …”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, in the presence of inhibitors, the cathodic and anodic currents decreased, suggesting that the prepared CO-GO can be labeled as a mixed-type corrosion inhibitor with anodic control. 51,52 EIS Study of CO-GO. The EIS assay is commonly known to assess the kinetics and mechanisms of electrochemical processes occurring at a metal/solution interface.…”

Section: ■ Results and Discussionmentioning

confidence: 99%

Performance Evaluation of New Chalcone Oxime Functionalized Graphene Oxide as a Corrosion Inhibitor for Carbon Steel in a Hydrochloric Acid Solution

et al. 2022

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This study aims to synthesize new chalcone oxime functionalized graphene oxide (CO-GO) and investigate the enhancement in corrosion protection. The morphology and structure of the synthesized CO-GO have been characterized by elemental analysis: Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), thermal gravimetric analysis (TGA), and scanning electron microscopy (SEM). Moreover, the effectiveness of corrosion inhibition was investigated by utilizing electrochemical impedance spectroscopy (EIS) and potentiodynamic polarization (PDP). The results of the above analyses demonstrate that CO-GO has an outstanding corrosion inhibitor performance of up to 94% and acts as a mixed-type inhibitor with a primarily anodic action. The effect of temperature on a carbon steel surface indicates that the tested composites are chemisorbed. A few techniques were able to provide surface characterization such as scanning electron microscopy and ultraviolet (UV)−visible spectroscopy to confirm inhibitor adsorption on the carbon steel surface.

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“…To gain a better insight into the corrosion-inhibiting properties of FV leaves extract, the inhibition efficiency ( η ) was computed using Eq. ( 1 ) 41 :…”

Section: Resultsmentioning

confidence: 99%

Falcaria vulgaris leaves extract as an eco-friendly corrosion inhibitor for mild steel in hydrochloric acid media

Alimohammadi

Ghaderi

Ramazani

et al. 2023

Sci Rep

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Undoubtedly, metal corrosion is one of the most challenging problems faced by industries. Introducing corrosion inhibitors is a reasonable approach to protecting the metal surface. Due to environmental concerns and the toxicity of industrial organic corrosion inhibitors, researchers are continually exploring acceptable replacements. The current study focused on the application of Falcaria Vulgaris (FV) leaves extract to mitigate mild steel (MS) corrosion in a 1 M HCl environment. The polarization findings demonstrated that the corrosion current density decreased from 264.0 µA/cm2 (for the sample submerged in the blank solution) to 20.4 µA/cm2 when the optimal concentration of 800 ppm of FV leaves extract was added to the acid solution. Electrochemical impedance spectroscopy (EIS) analysis revealed an inhibition efficiency of 91.3% at this concentration after 6 h of immersion. It was determined by analyzing several adsorption isotherms that this corrosion inhibitor obeys the Frumkin isotherm. AFM, FE-SEM, and GIXRD surface analyses also supported the findings that adding FV leaves extract can reduce metal damage by adsorption on the metal surface.

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An environmentally friendly formulation based on Cannabis sativa L. seed oil for corrosion inhibition of E24 steel in HCl medium: Experimental and theoretical study

Cited by 33 publications

References 45 publications

Synthesis, Characterization, and Evaluation of Co-MOF Based ZIF-67 for CO₂ Corrosion Inhibition of X65 Steel: Insights from Electrochemical Studies and a Machine Learning Algorithm

Synthesis, Characterization, and Evaluation of Co-MOF Based ZIF-67 for CO₂ Corrosion Inhibition of X65 Steel: Insights from Electrochemical Studies and a Machine Learning Algorithm

Performance Evaluation of New Chalcone Oxime Functionalized Graphene Oxide as a Corrosion Inhibitor for Carbon Steel in a Hydrochloric Acid Solution

Falcaria vulgaris leaves extract as an eco-friendly corrosion inhibitor for mild steel in hydrochloric acid media

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An environmentally friendly formulation based on Cannabis sativa L. seed oil for corrosion inhibition of E24 steel in HCl medium: Experimental and theoretical study

Cited by 33 publications

References 45 publications

Synthesis, Characterization, and Evaluation of Co-MOF Based ZIF-67 for CO2 Corrosion Inhibition of X65 Steel: Insights from Electrochemical Studies and a Machine Learning Algorithm

Synthesis, Characterization, and Evaluation of Co-MOF Based ZIF-67 for CO2 Corrosion Inhibition of X65 Steel: Insights from Electrochemical Studies and a Machine Learning Algorithm

Performance Evaluation of New Chalcone Oxime Functionalized Graphene Oxide as a Corrosion Inhibitor for Carbon Steel in a Hydrochloric Acid Solution

Falcaria vulgaris leaves extract as an eco-friendly corrosion inhibitor for mild steel in hydrochloric acid media

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Synthesis, Characterization, and Evaluation of Co-MOF Based ZIF-67 for CO₂ Corrosion Inhibition of X65 Steel: Insights from Electrochemical Studies and a Machine Learning Algorithm

Synthesis, Characterization, and Evaluation of Co-MOF Based ZIF-67 for CO₂ Corrosion Inhibition of X65 Steel: Insights from Electrochemical Studies and a Machine Learning Algorithm