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- W4308522400 endingPage "130541" @default.
- W4308522400 startingPage "130541" @default.
- W4308522400 abstract "The corrosion inhibition performance of three choline amino acid ionic liquids ([Ch][AA]ILs) for mild steel in 1 M HCl solution was evaluated by electrochemical analysis, gravimetric measurement, and surface morphological characterization in the temperature range of 298–328 K in this paper. The results of the polarization experiments show that [Ch][AA]ILs affect the cathode and anode reaction processes, proving that [Ch][AA]ILs are mixed corrosion inhibitors. Choline phenylalanine ionic liquids ([Ch][Phe]) exhibit the highest corrosion prevention efficiency among the three chosen corrosion inhibitors, as proven by SEM/EDS scanning, XPS analysis, and molecular dynamics simulation. The values of standard free energy of adsorption ΔGads range between − 20 kJ·mol-1 and − 40 kJ·mol-1, showing that inhibitor molecule adsorption on the metal surface involves both physical and chemical adsorption. According to the results of XPS research and quantum chemical calculations, the adsorption of corrosion inhibitor molecules on the metal surface is strongly related to the anions. The corrosion inhibitor molecules form a thick monolayer adsorption layer on the metal surface, preventing metal-corrosive media interaction. The molecular dynamics simulation findings reveal that the corrosion inhibitor molecules replace the solvent water or any other ions pre-adsorbed on the metal surface during the adsorption process, protecting the metal from corrosion." @default.
- W4308522400 created "2022-11-12" @default.
- W4308522400 creator A5013938494 @default.
- W4308522400 creator A5022852290 @default.
- W4308522400 creator A5023037025 @default.
- W4308522400 creator A5066342877 @default.
- W4308522400 date "2023-01-01" @default.
- W4308522400 modified "2023-10-12" @default.
- W4308522400 title "Choline amino acid ionic liquids as green corrosion inhibitors of mild steel in acidic medium" @default.
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- W4308522400 doi "https://doi.org/10.1016/j.colsurfa.2022.130541" @default.
- W4308522400 hasPublicationYear "2023" @default.
- W4308522400 type Work @default.