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Thakur A, Kumar A, Dagdag O, Kim H, Berisha A, Sharma D, Om H. Unraveling the corrosion inhibition behavior of prinivil drug on mild steel in 1M HCl corrosive solution: insights from density functional theory, molecular dynamics, and experimental approaches. Front Chem 2024; 12:1403118. [PMID: 38947959 PMCID: PMC11212477 DOI: 10.3389/fchem.2024.1403118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 05/15/2024] [Indexed: 07/02/2024] Open
Abstract
The deterioration of mild steel in an acidic environment poses a significant challenge in various industries. The emergence of effective corrosion inhibitors has drawn attention to studies aimed at reducing the harmful consequences of corrosion. In this study, the corrosion inhibition efficiency of Prinivil in a 1M HCl solution through various electrochemical and gravimetric techniques has been investigated for the first time. The results demonstrated that the inhibition efficiency of Prinivil expanded from 61.37% at 50 ppm to 97.35% at 500 ppm concentration at 298 K. With a regression coefficient (R 2) of 0.987, Kads value of 0.935 and Ea value of 43.024 kJ/mol at 500 ppm concentration of inhibitor, a strong affinity of Prinivil for adsorption onto the metal surface has been significantly found. Scanning electron microscopy (SEM) and contact angle measurement analyses further support the inhibitory behavior of Prinivil, demonstrating the production of a defensive layer on the surface of mild steel. Additionally, molecular dynamics (MD) and Monte Carlo simulations were employed to investigate the stability and interactions between Prinivil and the metallic surface (Fe (1 1 0)) at the atomic level. The computed results reveal strong adsorption of Prinivil upon the steel surface, confirming its viability as a corrosion inhibitor.
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Affiliation(s)
- Abhinay Thakur
- Division of Research and Development, Lovely Professional University, Phagwara, Punjab, India
| | - Ashish Kumar
- Nalanda College of Engineering, Department of Science, Technology and Technical Education, Government of Bihar, Bihar Engineering University, Nalanda, India
| | - Omar Dagdag
- Department of Mechanical Engineering, Gachon University, Seongnam, Republic of Korea
| | - Hansang Kim
- Department of Mechanical Engineering, Gachon University, Seongnam, Republic of Korea
| | - Avni Berisha
- Department of Chemistry, Faculty of Natural and Mathematics Science, University of Prishtina, Prishtina, Albania
| | - Deepak Sharma
- Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Haryana, India
| | - Hari Om
- Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Haryana, India
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Pham TH, Le PK, Son DN. A data-driven QSPR model for screening organic corrosion inhibitors for carbon steel using machine learning techniques. RSC Adv 2024; 14:11157-11168. [PMID: 38590346 PMCID: PMC10999907 DOI: 10.1039/d4ra02159b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 04/02/2024] [Indexed: 04/10/2024] Open
Abstract
Machine learning (ML) techniques have shown great potential for screening corrosion inhibitors. In this study, a data-driven quantitative structure-property relationship (QSPR) model using the gradient boosting decision tree (GB) algorithm combined with the permutation feature importance (PFI) technique was developed to predict the corrosion inhibition efficiency (IE) of organic compounds on carbon steel. The results showed that the PFI method effectively selected the molecular descriptors most relevant to the IE. Using these important molecular descriptors, an IE predictive model was trained on a dataset encompassing various categories of organic corrosion inhibitors for carbon steel, achieving RMSE, MAE, and R2 of 6.40%, 4.80%, and 0.72, respectively. The integration of GB with PFI within the ML workflow demonstrated significantly enhanced IE predictive capability compared to previously reported ML models. Subsequent assessments involved the application of the trained model to drug-based corrosion inhibitors. The model demonstrates robust predictive capability when validated on available and our own experimental results. Furthermore, the model has been employed to predict IE for more than 1500 drug compounds, suggesting five novel drug compounds with the highest predicted IE on carbon steel. The developed ML workflow and associated model will be useful in accelerating the development of next-generation corrosion inhibitors for carbon steel.
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Affiliation(s)
- Thanh Hai Pham
- Ho Chi Minh City University of Technology (HCMUT) 268 Ly Thuong Kiet Street, District 10 Ho Chi Minh City Vietnam
- Vietnam National University Ho Chi Minh City Linh Trung Ward Ho Chi Minh City Vietnam
- Vietnam Institute for Tropical Technology and Environmental Protection 57A Truong Quoc Dung Street Phu Nhuan District Ho Chi Minh City Vietnam
| | - Phung K Le
- Ho Chi Minh City University of Technology (HCMUT) 268 Ly Thuong Kiet Street, District 10 Ho Chi Minh City Vietnam
- Vietnam National University Ho Chi Minh City Linh Trung Ward Ho Chi Minh City Vietnam
| | - Do Ngoc Son
- Ho Chi Minh City University of Technology (HCMUT) 268 Ly Thuong Kiet Street, District 10 Ho Chi Minh City Vietnam
- Vietnam National University Ho Chi Minh City Linh Trung Ward Ho Chi Minh City Vietnam
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Lavanya M, Machado AA. Surfactants as biodegradable sustainable inhibitors for corrosion control in diverse media and conditions: A comprehensive review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168407. [PMID: 37939963 DOI: 10.1016/j.scitotenv.2023.168407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/24/2023] [Accepted: 11/05/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Corrosion is a challenging and potentially harmful process that involves the continuing, impulsive deterioration of metallic structures via reactions involving environmental components and electro- or chemical processes. To inhibit corrosion, various additives are added. Traditional additives, on the other hand, contain environmentally hazardous substances. Surfactants are less expensive, easier to manufacture, and have high inhibitory efficacy and low toxicity compared to standard corrosion inhibitors. They are often employed as corrosion inhibitors to protect metallic materials against corrosion. METHODS Surfactant molecules' amphiphilic nature promotes adsorption at surfaces such as the metal/metal oxide-water interface. Surfactant adsorption on metals and metal oxides forms a barrier that can prevent corrosion. SIGNIFICANT FINDINGS This review of surfactants as corrosion inhibitors aims to offer a systemic evaluation of various surfactant physical and chemical properties, surfactant influence in corrosion inhibition, and surfactant used in corrosion inhibition that can be used to enhance the efficacy of surfactant use as corrosion inhibitors in a variety of environments. The effect of several parameters on the potential to suppress corrosion of surfactant molecule series is also discussed here.
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Affiliation(s)
- M Lavanya
- Department of Chemical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India.
| | - Avryl Anna Machado
- Department of Chemical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India; Chemical and Bioprocess Engineering, Hamburg University of Technology, 21073 Hamburg, Germany
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Gupta SK, Mitra RK, Yadav M, Dagdag O, Berisha A, Mamba BB, Nkambule TTI, Ebenso EE, Singh SK. Electrochemical, surface morphological and computational evaluation on carbohydrazide Schiff bases as corrosion inhibitor for mild steel in acidic medium. Sci Rep 2023; 13:15108. [PMID: 37704662 PMCID: PMC10499881 DOI: 10.1038/s41598-023-41975-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 09/04/2023] [Indexed: 09/15/2023] Open
Abstract
Anticorrosion and adsorption behaviour of synthesized carbohydrazide Schiff bases, namely (Z)-N'-(4-hydroxy-3-methoxybenzylidene)-6-methyl-2-oxo-4-phenyl-1,2,3,4-tetrahydropyrimidine-5-carbohydrazide(MBTC) and (Z)-N'-(3,4-dichlorobenzylidene)-6-methyl-2-oxo-4-phenyl-1,2,3,4-tetrahydropyrimidine-5-carbohydrazide (CBTC) was examined for mild steel (MS) in 15% HCl medium. The corrosion inhibition study was performed by using gravimetric, thermodynamic, electrochemical and theoretical studies including density functional theory (DFT), molecular dynamic simulation (MDS) and Monte Carlo simulations (MCS). The outcomes in terms of corrosion inhibition efficiency using electrochemical impedance spectroscopy (EIS) method at 303 K and 150 ppm concentration were 96.75% for MBTC and 95.14% for CBTC. Both inhibitors adsorbed on the MS surface through physical as well as chemical adsorption and followed the Langmuir isotherm. The mixed-type nature of both inhibitors was identified by polarization results. Surface analysis was done using FESEM, EDX, AFM and XPS studies and results showed that a protective layer of inhibitor molecules was developed over the surface of MS. The results of DFT, MCS and MDS are in accordance with experimental results obtained by weight loss and electrochemical methods.
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Affiliation(s)
- Sujata Kumari Gupta
- Department of Chemistry and Chemical Biology, Indian Institute of Technology (ISM), Dhanbad, Jharkhand, 826004, India
| | - R K Mitra
- Department of Chemistry and Chemical Biology, Indian Institute of Technology (ISM), Dhanbad, Jharkhand, 826004, India
| | - Mahendra Yadav
- Department of Chemistry and Chemical Biology, Indian Institute of Technology (ISM), Dhanbad, Jharkhand, 826004, India.
| | - Omar Dagdag
- Centre for Materials Science, College of Science, Engineering and Technology, University of South Africa, Johannesburg, 1710, South Africa
- Institute of Nanotechnology and Water Sustainability, College of Science, Engineering and Technology, University of South Africa, Johannesburg, 1710, South Africa
| | - Avni Berisha
- Department of Chemistry, Faculty of Natural and Mathematics Science, University of Prishtina, 10000, Prishtina, Kosovo
| | - Bhekie B Mamba
- Institute of Nanotechnology and Water Sustainability, College of Science, Engineering and Technology, University of South Africa, Johannesburg, 1710, South Africa
| | - Thabo T I Nkambule
- Institute of Nanotechnology and Water Sustainability, College of Science, Engineering and Technology, University of South Africa, Johannesburg, 1710, South Africa
| | - Eno E Ebenso
- Centre for Materials Science, College of Science, Engineering and Technology, University of South Africa, Johannesburg, 1710, South Africa.
- Institute of Nanotechnology and Water Sustainability, College of Science, Engineering and Technology, University of South Africa, Johannesburg, 1710, South Africa.
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Essential Oil of Origanum vulgare as a Green Corrosion Inhibitor for Carbon Steel in Acidic Medium. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2023. [DOI: 10.1007/s13369-023-07693-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
AbstractIn this study, Oregano (Origanum vulgare) leaf essential oil was studied as an environmental-friendly anticorrosion agent for carbon steel in aggressive hydrochloric acid. The corrosion inhibition of O. vulgare was characterized by surface morphology, electrochemical, weight loss, theoretical and computational methods. It was found that the highest inhibition performance of O. vulgare was 85.64% at 2 g/l in 1 M HCl. The results of Langmuir isotherm and adsorption thermodynamics investigation demonstrated that the O. vulgare inhibitor adsorbed on the metal surface by the formation of rigid covalent bonds. The adsorption and inhibition centers of the selected inhibitor were studied by the computational methods, resulting in that the hydroxyl functional groups and benzoyl rings are mainly responsible for the high inhibition efficiency.
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En-Nylly M, Skal S, El aoufir Y, Lgaz H, Adnin RJ, Alrashdi AA, Bellaouchou A, Al-Hadeethi M, Benali O, Guedira T, Lee HS, Kaya S, Ibrahim S. Performance evaluation and assessment of the corrosion inhibition mechanism of carbon steel in HCl medium by a new hydrazone compound: Insights from experimental, DFT and first-principles DFT simulations. ARAB J CHEM 2023. [DOI: 10.1016/j.arabjc.2023.104711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023] Open
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Feng XJ, Yan N, Wang Y, Mei P, Chen W, Lu L, Lai L. Corrosion Inhibition Studies of 8-Hydroxyquinoline Derivatives for N80 Steel in a 1.0 M HCl Solution: Experimental, Computational Chemistry, and Quantitative Structure-Activity Relationship Studies. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2023; 39:519-532. [PMID: 36562562 DOI: 10.1021/acs.langmuir.2c02807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Twelve kinds of 8-hydroxyquinoline derivatives were synthesized and characterized. The weight loss method was used to evaluate their inhibition efficiencies (IEs) in a 1.0 M HCl solution at 333 K. The results showed that the alkyl chain length, heteroatoms (S, N, and O), and number of benzene rings significantly affect the IE. Herein, the IE of 5-[(dodecylthio)methyl]-8-quinolinol reached 98.71%. Meanwhile, the potentiodynamic polarization results indicated that all 8-hydroxyquinoline derivatives were mixed-type inhibitors. Electrochemical impedance spectroscopy results revealed that 8-hydroxyquinoline derivatives can increase polarization resistance, supporting their adsorption on the N80 steel surface. Moreover, according to density functional theory (DFT), the frontier orbital distribution and quantum chemical parameters (EHOMO, ELUMO, dipole moment μ, etc.) were calculated, and the results confirmed that the substituents of protonated 8-hydroxyquinoline derivatives significantly influenced the frontier orbital distribution. Molecular dynamics simulation illustrated that all protonated 8-hydroxyquinoline derivatives were adsorbed parallel to the Fe(110) surface, and the interaction energy (Eint) evidenced that the molecular size would affect their strength of adsorption on the Fe(110) surface. The linear and nonlinear quantitative structure-activity relationship models were established by linear regression (LR) methods and BP neural networks (NN), respectively. The LR model was established by using Eint and μ, and the coefficient of determination (R2) was 0.934. In addition, the nonlinear NN model was obtained according to IE and all parameters (DFT parameters and Eint). Then, the two calculation inhibition efficiencies (IEcal) were obtained from the LR and NN models, and the R2 values of the linear correlation between the IEcal and the experimental IE were 0.940 and 0.951, respectively. In addition, the IE of the tested inhibitor was 51.86% and the IEcal values predicted by the LR and NN models were 52.68% and 53.06%, respectively. Our results demonstrate that both the LR and NN models have good fits and predictive ability.
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Affiliation(s)
- Xiao-Jun Feng
- College of Chemistry and Environmental Engineering, Yangtze University, Jingzhou434023, P. R. China
- College of Water Resources and Environment, China University of Geosciences (Beijing), Beijing100083, P. R. China
| | - Ning Yan
- College of Chemistry and Environmental Engineering, Yangtze University, Jingzhou434023, P. R. China
| | - Yanqun Wang
- College of Chemistry and Environmental Engineering, Yangtze University, Jingzhou434023, P. R. China
| | - Ping Mei
- College of Chemistry and Environmental Engineering, Yangtze University, Jingzhou434023, P. R. China
| | - Wu Chen
- College of Chemistry and Environmental Engineering, Yangtze University, Jingzhou434023, P. R. China
| | - Lilin Lu
- College of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan430081, P. R. China
| | - Lu Lai
- College of Chemistry and Environmental Engineering, Yangtze University, Jingzhou434023, P. R. China
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Linagliptin drug molecule as corrosion inhibitor for mild steel in 1 M HCl solution: Electrochemical, SEM/XPS, DFT and MC/MD simulation approach. Colloids Surf A Physicochem Eng Asp 2022. [DOI: 10.1016/j.colsurfa.2022.130885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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Dagdag O, Haldhar R, Kim SC, Safi ZS, Wazzan N, Mkadmh AM, Berisha A, Berdimurodov E, Jodeh S, Nwanna EE, Akpan ED, Ebenso EE. Synthesis, physicochemical properties, theoretical and electrochemical studies of tetraglycidyl methylenedianiline. J Mol Struct 2022. [DOI: 10.1016/j.molstruc.2022.133508] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Daoudi W, El Aatiaoui A, Falil N, Azzouzi M, Berisha A, Olasunkanmi LO, Dagdag O, Ebenso EE, Koudad M, Aouinti A, Loutou M, Oussaid A. Essential oil of Dysphania ambrosioides as a green corrosion inhibitor for mild steel in HCl solution. J Mol Liq 2022. [DOI: 10.1016/j.molliq.2022.119839] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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