Determination of corrosion inhibition effects of amino acids: Quantum chemical and molecular dynamic simulation study

KAYA S., TÜZÜN B., KAYA C., Obot I. B.

JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS, cilt.58, ss.528-535, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 58
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1016/j.jtice.2015.06.009
  • Dergi Adı: JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.528-535
  • Anahtar Kelimeler: Corrosion, DFT, Amino acids, Molecular Dynamic simulations, Monte Carlo, ABSOLUTE ELECTRONEGATIVITY, ELECTROPHILICITY INDEX, SOFT ACIDS, HARDNESS, STEEL, CHEMISTRY, BASES, HCL
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

Amino acids are biologically important organic compounds in the human body which contain two important functional groups namely: -NH2 (amine) and -COOH (carboxylic acid) in their structures. In the present work, corrosion inhibitive performance amino acids such alanine (Ala), methionine (Met), aspartate (Asp), asparagine (Asn), lysine (Lys), arginine (Arg) and histidine (His) were investigated. All quantum chemical calculations related to these amino acids at the B3LYP/6-31G++(d, p) HF/6-31G++(d,p) methods were performed. Corrosion inhibition effects of the subject amino acids were discussed not only in the gas phase but also in the water phase, acetic acid and formic acid. Furthermore, molecular dynamic simulations employing Monte Carlo sampling approach were applied to search for the most stable configuration and adsorption energies for the interaction of the amino acid corrosion inhibitors on Cu (111)/50 H2O interface. A good correlation between theoretical data and experimental data has been obtained. Moreover, arginine that is a basic amino acid the best corrosion inhibitor among amino acids, considered in this study. (C) 2015 Taiwan Institute of Chemical Engineers. Published by Elsevier B.V. All rights reserved.