Rihashni, Thivagaran and Nurjannah, Salim and Nurul Huda, Abu Bakar (2023) Ethanolic Mangifera Indica Leaves Extract as Green Corrosion Inhibitor. Journal of Advanced Research in Applied Sciences and Engineering Technology, 29 (3). pp. 228-234. ISSN 2462-1943. (Published)
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Abstract
Mangifera indica (MI) or mango leaf as a green corrosion inhibitor for copper has been studied. The MI was extracted in ethanol solvent and prepared at different concentrations of 0, 0.4, 0.6 and 0.8 mg/ml in 1 M HCl solutions to imitate the corrosive environment. The as-prepared MI extract analyzed by UV-Vis Spectrophotometer shows a shoulder peak at about 370 nm, resulting from the π → π* and n → π* electronic transition of aromatic C=C and carbonyl (C=O) functional groups. A Fourier transform infrared spectroscopy (FTIR) found that the MI extract exhibits aromatic C=C, C=O groups of phenolic compounds, C-OH, and C-O stretching vibrations. The electrochemical impedance spectroscopy (EIS) and Tafel plot analysis evaluate that the optimum corrosion inhibition of copper was achieved at 0.6 mg/ml concentration. The result is supported by a positive shift in the corrosion potential, Ecorr, lower corrosion current, Icorr and corrosion rate (CR) at -0.233 V, 4.39 µA/cm2 and 0.05 mm/yr, respectively. The surface morphology of the copper substrate after the corrosion test evaluated using metallurgical microscopy shows tremendous corrosion inhibition due to the adsorption of the molecules from the MI extracts.
| Item Type: | Article |
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| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Organic inhibitor; Mango leaves; Copper; Corrosion |
| Subjects: | Q Science > QC Physics R Medicine > R Medicine (General) |
| Faculty/Division: | Faculty of Industrial Sciences And Technology Institute of Postgraduate Studies |
| Depositing User: | Dr. Nurul Huda Abu Bakar |
| Date Deposited: | 05 Jul 2023 00:34 |
| Last Modified: | 12 Jul 2023 08:00 |
| URI: | http://umpir.ump.edu.my/id/eprint/37885 |
| Download Statistic: | View Download Statistics |
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