The discussion of descriptors for the QSAR model and molecular dynamics simulation of benzimidazole derivatives as corrosion inhibitors

Lu Li, Xiuhui Zhang*, Shida Gong, Hongxia Zhao, Yang Bai, Qianshu Li, Lin Ji

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

92 Citations (Scopus)

Abstract

The corrosion inhibition performances of 20 protonated benzimidazole derivatives were studied using theoretical methods. Nuclear Independent Chemical Shift (NICS), the measurement of aromaticity, demonstrated good correlation with inhibition efficiencies and was used as a descriptor. Binding energies were calculated on the basis of molecular dynamics simulations using a realistic corrosive environment. Some improved descriptors correlate well with experimental inhibition efficiencies. A reliable nonlinear quantitative structure-activity relationship model was constructed by a support vector machine approach. The correlation coefficient and root-mean-square error were 0.96 and 6.79%, respectively. Additionally, six new benzimidazole molecules were designed, and their inhibition efficiencies were predicted.

Original languageEnglish
Pages (from-to)76-88
Number of pages13
JournalCorrosion Science
Volume99
DOIs
Publication statusPublished - 1 Oct 2015

Keywords

  • A. Acidic solutions
  • A. Iron
  • B. Modeling studies
  • C. Acid inhibition

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