Corrosion mitigation performance of disodium EDTA functionalized chitosan biomacromolecule - Experimental and theoretical approach.

Chitosan derivatives Corrosion inhibitor LPR method Molecular dynamics simulation Monte Carlo studies Statistical modeling

Journal

International journal of biological macromolecules
ISSN: 1879-0003
Titre abrégé: Int J Biol Macromol
Pays: Netherlands
ID NLM: 7909578

Informations de publication

Date de publication:
01 May 2021
Historique:
received: 12 10 2020
revised: 17 02 2021
accepted: 21 02 2021
pubmed: 27 2 2021
medline: 22 7 2021
entrez: 26 2 2021
Statut: ppublish

Résumé

Disodium ethylenediaminetetraacetate salt is known for its excellent coordinating properties with the metal ions. The present study deals with the investigation of the prepared Disodium EDTA functionalized chitosan in corrosion inhibition for mild steel in 1 M HCl. The modified chitosan was characterized by spectral studies, thermal analysis, and Zeta potential studies. The corrosion inhibition efficiency (%) was evaluated using the gravimetric method and electrochemical studies. The electrochemical studies included potentiodynamic polarization, linear polarization resistance, and electrochemical impedance methods. The modified chitosan polymer showed an inhibition efficiency of 96.63% for 500 ppm at 303 K. Adsorption process obeyed Langmuir isotherm. Experimental results and theoretical calculations endorsed initial physisorption followed by a chemisorption process. Surface characterization studies supported the formation of a protective film that enabled the inhibition process. Density functional theory, Monte Carlo studies, and molecular dynamics simulation studies show a good agreement with the experimental results. Two-way Analysis of Variance was performed to test the influence of immersion period and inhibitor concentration on the corrosion rate using the statistical software IBM SPSS 20.0. A quartic model was generated as the best fit with the highest R2 value of 0.973. Design Expert software was employed for statistical modeling fit.

Identifiants

pubmed: 33636273
pii: S0141-8130(21)00461-X
doi: 10.1016/j.ijbiomac.2021.02.166
pii:
doi:

Substances chimiques

chitosan-EDTA 0
Steel 12597-69-2
Chitosan 9012-76-4
Edetic Acid 9G34HU7RV0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

477-491

Informations de copyright

Copyright © 2021. Published by Elsevier B.V.

Auteurs

S J Hepziba Magie Jessima (SJHM)

Department of Chemistry, CHRIST (Deemed to be University), Bengaluru-560029, India; Department of Chemistry, Avinashilingam Institute for Home Science and Higher Education for Women (Deemed to be University), Coimbatore-641043, India. Electronic address: hepziba.magie@christuniversity.in.

Subhashini S (S)

Department of Chemistry, Avinashilingam Institute for Home Science and Higher Education for Women (Deemed to be University), Coimbatore-641043, India.

Avni Berisha (A)

Chemistry Department of Natural Sciences Faculty, University of Prishtina, rr. "NënaTereze" nr.5, 10000, Prishtina, Kosovo; Materials Science - Nanochemistry Research Group, NanoAlb - Unit of Albanian Nanoscience and Nanotechnology, Tirana, Albania.

Ayhan Oral (A)

Department of Chemistry, Faculty of Sciences and Arts, CanakkaleOnsekiz Mart University, 17020, Canakkale, Turkey.

Subramanian Sathy Srikandan (SS)

Department of Applied Science, PSG COLLEGE OF TECHNOLOGY, Peelamedu, Coimbatore-641004.

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Classifications MeSH