Inhibitive effect of Clopidogrel as a green corrosion inhibitor for mild steel; statistical modeling and quantum Monte Carlo simulation studies

E. Naseri, M. Hajisafari, Ali Kosari, M. Talari, S. Hosseinpour, A. Davoodi

    Research output: Contribution to journalArticleScientificpeer-review

    48 Citations (Scopus)

    Abstract

    In this work, response surface method (RSM) is employed to design electrochemical experiments for assessment of a green organic molecule, namely Clopidogrel from cardiovascular drugs class, as a corrosion inhibitor for mild steel in sulfuric acid solution. Mathematical models based on multiple regressions are generated to estimate the influence of the affecting factors like acid concentration, solution temperature and inhibitor concentration on the inhibitive performance of Clopidogrel. The corrosion rates are measured experimentally using potentiodynamic polarization technique. The calculated Langmuir adsorption energy reveals that Clopidogrel adsorbs both physically and chemically onto the mild steel surface and the adsorption type is almost independent of the environmental factors. The adsorption mechanism of Clopidogrel is computed through quantum chemical calculations, confirming that this compound can replace water molecules from the surface upon its adsorption to the metal substrate. The simulation results are approved experimentally using an inherently surface sensitive tool, sum frequency generation spectroscopy (SFG).

    Original languageEnglish
    Pages (from-to)193-202
    JournalJournal of Molecular Liquids
    Volume269
    DOIs
    Publication statusPublished - 2018

    Keywords

    • Clopidogrel
    • Green corrosion inhibitor
    • Mild steel
    • Monte Carlo simulation
    • Sulfuric acid
    • Sum frequency generation (SFG) spectroscopy
    • Surface response method

    Fingerprint

    Dive into the research topics of 'Inhibitive effect of Clopidogrel as a green corrosion inhibitor for mild steel; statistical modeling and quantum Monte Carlo simulation studies'. Together they form a unique fingerprint.

    Cite this