Version 1
: Received: 13 December 2020 / Approved: 15 December 2020 / Online: 15 December 2020 (10:09:29 CET)
How to cite:
Kasprzhitskii, A.; Lazorenko, G.; Nazdracheva, T.; Yavna, V. Theoretical Study of the Adsorption Behavior of L-amino Acids on the Iron Surface. Preprints2020, 2020120365. https://doi.org/10.20944/preprints202012.0365.v1
Kasprzhitskii, A.; Lazorenko, G.; Nazdracheva, T.; Yavna, V. Theoretical Study of the Adsorption Behavior of L-amino Acids on the Iron Surface. Preprints 2020, 2020120365. https://doi.org/10.20944/preprints202012.0365.v1
Kasprzhitskii, A.; Lazorenko, G.; Nazdracheva, T.; Yavna, V. Theoretical Study of the Adsorption Behavior of L-amino Acids on the Iron Surface. Preprints2020, 2020120365. https://doi.org/10.20944/preprints202012.0365.v1
APA Style
Kasprzhitskii, A., Lazorenko, G., Nazdracheva, T., & Yavna, V. (2020). Theoretical Study of the Adsorption Behavior of L-amino Acids on the Iron Surface. Preprints. https://doi.org/10.20944/preprints202012.0365.v1
Chicago/Turabian Style
Kasprzhitskii, A., Tatiana Nazdracheva and Victor Yavna. 2020 "Theoretical Study of the Adsorption Behavior of L-amino Acids on the Iron Surface" Preprints. https://doi.org/10.20944/preprints202012.0365.v1
Abstract
This research evaluates the inhibitory effect of L-amino acids (AAs) with different side chain lengths on Fe surface implementing Monte Carlo (MC) simulation. A quantitative and qualitative description of the adsorption behavior of AAs on the iron surface has been carried out. Calculations have shown that the absolute values of the adsorption energy of L-amino acids increase with side chain prolongation; they are also determined by the presence of heteroatoms. AAs from nonpolar and basic groups have the best adsorption ability to the iron surface, which indicates their highest inhibitory efficiency according to the results of MC simulation.
Keywords
corrosion; amino acids; inhibitors; steel; iron; Monte Carlo simulation
Subject
Chemistry and Materials Science, Analytical Chemistry
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.