Published March 2021 | Version v1
Journal article

On the alleged importance of the molecular electron-donating ability and the HOMO–LUMO gap in corrosion inhibition studies

Creators

  • 1. Department of Physical and Organic Chemistry, Jožef Stefan Institute, Jamova 39, Ljubljana, SI-1000 (Slovenia)

Description

Highlights: • Data from where the "ΔN < 3.6" rule originates were more accurately recalculated. • ΔN is practically always considerably smaller than 3.6. • There is no correlation between inhibition efficiency and ΔN. • The HOMO–LUMO gap alone is not sufficient to anticipate inhibition efficiency. Many studies utilize the hypothesis that inhibition efficiency increases with increasing electron-donating ability (ΔN) if ΔN < 3.6. This co-called "ΔN < 3.6" rule is critically reevaluated and it is demonstrated to have no validity, firstly, because ΔN is practically always considerably smaller than 3.6, and secondly, because more accurate recalculation of data from where the "ΔN < 3.6" rule originated reveals that there is no correlation between inhibition efficiencies and ΔN. As for the importance of HOMO–LUMO gap, it is shown that for the considered set of 22 heterocyclic organic corrosion inhibitors for iron in acidic solutions, the inhibition efficiency shows a weak volcano-type dependence on the HOMO–LUMO gap, but the correlation is too weak to be quantitative, hence a HOMO–LUMO gap alone is not sufficient to anticipate inhibition efficiency. This weak volcano dependence is at variance with the assumption, often adopted in the literature, that a smaller HOMO–LUMO gap indicates a better inhibitor.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.corsci.2020.109016

Additional details

Identifiers

DOI
10.1016/j.corsci.2020.109016;
PII
S0010938X20317261;

Publishing Information

Journal Title
Corrosion Science
Journal Volume
180
Journal Page Range
vp.
ISSN
0010-938X
CODEN
CRRSAA

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54019040
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
COMPUTERIZED SIMULATION; CORROSION INHIBITORS; CORROSION PROTECTION; ELECTRONS
Descriptors DEC
ELEMENTARY PARTICLES; FERMIONS; LEPTONS; SIMULATION

Optional Information

Copyright
Copyright (c) 2020 Elsevier Ltd. All rights reserved.