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Vol. 13, 2021, pp. 66~86
ISSN: 2605-6895
66
Experimental and Computational Studies of Vitellaria Paradoxa
Extract as Aluminium Corrosion Inhibitor in Acidic and
Alkaline Media
Abdullahi Muhammad Ayuba, Mustapha Ashiru Auta and Najib Usman Shehu Department of Pure and Industrial Chemistry, Faculty of Physical Sciences, Bayero University, Kano,
Nigeria
Article Info ABSTRACT
Article history:
Received Jun 20th, 2021
Revised Sep 20th, 2021
Accepted Nov 06th, 2021
The adsorptive and inhibitive action of Vitellaria paradoxa (VP)
towards general and pitting corrosion of aluminium (Al) was
investigated both theoretically in gas phase and using weight loss in
both HCl and NaOH solutions. The plant extract was found to inhibit
the corrosion of aluminium with better inhibition efficiency in the
acidic medium than in the alkaline medium. The inhibition efficiency
of VP in both media decreased with increase in temperature, period of
immersion and corrodent concentration, but increased with increasing
VP concentration. Adsorption characteristics of VP on aluminium
surface in HCl and NaOH solutions was more consistent obeying
Langmuir, Flory-Huggins and Temkin isotherm models and the
process obeys physisorption mechanism. Thermodynamic parameters
including; Ea, Qads, ΔSads, ΔHads and ΔGads for the adsorption predicted
a spontaneous process. Quantum studies of the adsorptive interaction
of VP phytochemicals on Al surface favoured the process of back
donation. Data obtained from molecular dynamic simulations
corresponds to a stable adsorption structure of the compounds with
ester being best adsorbed among the four selected molecules, while the
Fukui indices indicated that oxygen and carbon are the reactive atoms
of the molecules for electrophilic and nucleophilic attacks. Theoretical
adsorption energy data obtained from molecular dynamic simulations
confirmed the spontaneity and physical mechanism of the process with
figures less than the threshold values required for chemical adsorption
Keyword:
Aluminium
Corrosion
Vitellaria paradoxa
Inhibition
Computational
Corresponding Author: Abdullahi Muhammad Ayuba
Adress: Department of Pure and Industrial Chemistry, Faculty of Physical Sciences, Bayero University,
Kano, Nigeria.
Email: [email protected] Phone:+2348062771500
1. INTRODUCTION
A.M. Ayouba et al.. RHAZES: Green and Applied Chemistry, Vol. 13, 2021, pp.66-86
67
The use of aluminium (Al) and its alloys in industries have been subjected to corrosion
challenges because of the aggressive corrosive environment upon which they are put to use.
Even though, this metal is covered with a thin passive surface oxide film which do slowly
corrode in aggressive media. The exposed unprotected metal atoms become prone to attacks
by aqueous corrosive medium which subsequently leads to a sequence of electrochemical
reactions. Processes occurring at the bared metal surface which increases the rate of metal
dissolution resulting into the formation of soluble complexes are environmentally dependent
[1]. Al metal is known for its high technological value which normally results into numerous
industrial applications of which aerospace is a good example. For this reason, the corrosion
of Al and/or its alloys have been a challenge to material scientists and one major method of
minimizing this effect is the use of inhibitors [2]. Serious researches are underway with an
aim of developing effective corrosion inhibitors of plant origin for aluminium in various
aggressive environments. This is chanelled towards finding a replacement to toxic synthetic
inhibitors which have deleterious effects to the environment [3]. Adsorption characteristics
of these inhibitors depend on several factors including the nature and number of potential
adsorption sites present in the inhibitor molecule. Many researchers have tried to relate the
corrosion inhibitor efficiency with a number of electronic and structural parameters of these
molecules [4]. Many of these properties contribute simultaneously to the inhibition
efficiency, therefore sometimes very difficult to establish which one play a better role in
increasing inhibition efficiency of corrosion. This instigated the need for computational
studies to further reveal the mechanism of the inhibition [2].
The plant of interest in this research Vitellaria paradoxa (formerly Butyrosper
mumparkii), commonly known as shea tree or Vitellaria, is a tree of the Sapotaceae family.
It is the only species in genus Vitellaria, and is indigenous to Africa [5]. The Shea fruit
consists of a thin, tart, nutritious pulp that surrounds a relatively large, oil-rich seed from
which Shea butter is extracted. The shea tree is a traditional African food plant. It has been
claimed to have potential to improve nutrition, boost food supply in the "annual hungry
season", foster rural development, and support sustainable land care [6]. Shea butter has
many uses and may or may not be refined. In the West, it is mostly used for cosmetics as
emollient. Throughout Africa it is used extensively for food, is a major source of dietary fat,
and for medicinal purposes [7]. Fat extracts from the kernel of the plant is used extensively
in cosmetics and chocolate industries [8].
Fig 1: Picture of Vitellaria paradoxa plant
Several researches have been carried out on the inhibition of the corrosion of metals by some
plant extracts. Extracts of phyllanthus amarus [9], Opuntia [10], Menthapulegium [11],
A.M. Ayouba et al.. RHAZES: Green and Applied Chemistry, Vol. 13, 2021, pp.66-86
68
Strychnosnux-vomica [12], Ammi visnaga [13] have been investigated for their corrosion
inhibition potentials. However, there is paucity of literature on the use of ethanol extract of
VP as an inhibitor for the corrosion of aluminium in HCl and NaOH media. Therefore, it is
within the scope of this research to use and establish the adsorptive, inhibitive, kinetic and
thermodynamic properties of VP on the corrosion of aluminium in HCl and NaOH media
using weight loss method of analysis. The interaction between three triterpenoid compounds;
betulinic acid [14], ursolic acid and oleanolic acid [15] and (E)-3-Phenylacrylic acid 17-(4-
ethyl-1,5-dimethyl-hexyl)-10,13-dimethyl-2,3,4,7,8,9,10,11,12,13,14,15,16,17-
tetradecahydro-1H-cyclopenta[a]phenanthren-3-yl ester [16] all isolated from VP and metal
surface was simulated using molecular dynamics whereas analysis of the electronic
properties and energetics of the inhibitor molecules were achieved using density functional
theory (DFT).
2. RESEARCH METHOD
Aluminium sheets (coupons) of composition (wt %); Al(98.70), Si(0.48), Cl(0.014),
K(0.04), Ca(0.01), Ti(0.005), V(0.016), Mn(0.012), Fe(0.50), Ni(0.013), Cu(0.048),
Ga(0.013), In(0.10), Te(0.010), Ba(0.009), Os(0.032), Ir(0.03) were used for this study. A
compact energy dispersive X-ray spectrometer (Mini pal) controlled by a computer was used
for the determination of the coupon composition. Sample of the Al pellet was loaded into
the sample chamber of the spectrometer, a voltage (30 kV max.) and a current (1mA max.)
was applied to produce the x-rays to excite the sample for 10 minutes. The result (spectrum)
of the analysed sample was used to determine the sample elements concentration (%). The
Al sheet was pressed-cut mechanically into coupons of 3 by 4 by 0.11 cm dimensions.
Coupons were polished, degreased in ethanol, dried with acetone and preserved in a
desiccator. Analar grade reagents and double distilled water was used for solution
preparations.
2.1 Extraction of the Plant
VP leaves samples were collected from Kadargo golf club Kainji, new Bussa, Niger
state, North-central of Nigeria. The samples were washed, air dried, ground, sieved and
soaked in a solution of ethanol for 1 week to percolate and then filtered. Thick syrup of the
extract was obtained using a rotar vapour (BUCHI R110, 400C) and was later air dried.
Different VP extract concentrations were prepared by dissolving 0.2, 0.4 and 0.6g of it
differently in 1dm3 solutions of 0.6, 0.8 and 1.0M HCl and NaOH respectively [17].
2.2 Chemical Analysis
Phytochemical analysis of the VP ethanol extract was carried out according to the
method reported by Ndukwe et al. [18] and Eddy et al. [17,19]. For the identification of
saponin, frothing and Na2CO3 tests were adopted, while bromine water and ferric chloride
tests were employed for the identification of tannin. Cardiac glycosides were identified using
Leberman’s and Salkowski’s test, while Dragendorf, Hagger and Meyer reagents were used
for the identification of alkaloids.
2.3 Weight Loss Method
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69
Into an open beaker, a previously weighed Al coupon was completely immersed in
200cm3 of the test solution and was covered, inserted into a water bath maintained at 303 K.
Each test coupon was withdrawn from the test solution after every hour, washed in a solution
containing 50% NaOH and 100gL-1 of zinc dust (in order to remove the corrosion product).
The washed coupon was rinsed in acetone and dried in air and reweighed. The difference in
weight for a period of 6 hours was taken as total weight loss. The experiments were repeated
at 313 and 323 K respectively. The degree of surface coverage (θ), inhibition efficiency (%I)
of the inhibitor and corrosion rates (CR in gh-1cm-2) were calculated from weight loss results
using Equations (1) to (3) respectively:
θ = 1 – 𝑊1
𝑊2 (1)
% I = (1 - 𝑊1
𝑊2) x 100 (2)
CR (gh-1cm-2) = 𝛥𝑊
𝐴𝑡 (3)
Where W1 and W2 are the weight losses (g) for aluminium in the presence and
absence of the inhibitor in HCl and NaOH solutions, θ is the degree of surface coverage of
the inhibitor, A is the area of the aluminium coupon (in cm2), t is the period of immersion
(hours) and ΔW is the weight loss of aluminium after time, t [20].
2.4 Quantum Chemical Calculations
In order to study the effect of the electronic and molecular structure on inhibition
efficiency, quantum chemical calculations with complete geometry optimizations of the VP
phytochemicals as corrosion inhibitors was performed using DMol3 module of Materials
Studio software version 8.0 (BIOVIA, Accelrys). This module is an atomic orbital
implementation of density functional theory (DFT) in the local density approximation (LDA)
regime. Calculations were done in the Perdew-Wang Correlation (PWC) form, at the double
numerical quality plus d-functions (DND) atomic basis set level. Complete geometrical
optimizations of the structures of VP compounds from the literature, the electron density,
the highest occupied molecular orbital (HOMO), and the lowest unoccupied molecular
orbital (LUMO) among others were obtained [21].
2.5 Molecular Dynamic Simulations
The molecular dynamics construction of unit cells and optimizations were performed
using Forcite plus forcefield in the Accelrys Material Studio 8.0 software. The Al was
cleaved along the densely packed reflection (Al (110)) being the most stable reflection
compared to the open Al (111) and Al (100) planes. Forcite quench molecular dynamics was
applied to sample low energy configurations of adsorbed molecules on the Al (110) surface.
Calculations were carried out in 5000 steps within simulation time of 5 ps invoking a 6 × 5
supercell at 350 K [21].
3. RESULTS AND ANALYSIS
The study on the corrosion inhibition of Al in HCl and NaOH solutions using VP
extract as inhibitor was conducted using weight loss and quantum chemical methods. The
results of this study were presented in tabular format and discussed herewith. Weight loss
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experiments were conducted by varying the temperatures (303, 313 and 323K), corrodent
(HCl and NaOH) concentration (0.6, 0.8 and 1.0M) and inhibitor (VP extract) concentrations
(0.2, 0.4 and 0.6g/L) to obtain the results presented under the following headings:
3.1 Effect of Corrodent, Inhibitor Concentration and Temperature Variation
Table 1 presents values of corrosion rate for the corrosion of Al in varying HCl and
NaOH concentrations with/without the inhibitor at 303K temperature. Accordingly, the
higher the corrodent concentration the higher the corrosion rates for both corrodents in the
absence of the inhibitor. The same experiment was repeated at 313 and 323K temperatures
with similar results obtained. A similar observation was reported by Ayuba et al. [20].
The effect of temperature on the corrosion system was tested at three different
temperatures (303, 313 and 323K) respectively at a given HCl or NaOH concentration in the
absence of the inhibitor. It can be observed from Table 1 that the highest corrosion rate of
Al was observed at 323K for 1.0M HCl. The results obtained for 0.60 and 0.80M HCl
solutions were similar to that of 1.0M HCl. Similarly as in the effect of corrodent
concentration, higher temperatures produced higher weight loss with time, thus higher rate
of reaction. Comparing the results of the three HCl concentrations, it is also evident that a
combination of higher temperatures and corrodent concentrations produced respectively
higher weight loss resulting into a higher corrosion rate. Therefore, the higher the
temperature the higher the rate of corrosion, suggesting a physical adsorption mechanism [2,
17]. The effect of temperature on the corrosion system was also tested at three different
temperatures (303, 313 and 323K) respectively in NaOH solutions. It can be observed that
the highest weight loss of Al was observed at 323K for 1.0M NaOH. The results obtained
for 0.60 and 0.8M HCl solutions were similar to that of NaOH. Comparing the results of the
three NaOH concentrations, it is also evident that a combination of lower temperatures and
corrodent concentrations produced respectively lower weight loss resulting into a lower
corrosion rate.
To test and establish whether the inhibitor has an effect on the rate of Al corrosion
in varying HCl solution, varying concentrations of the inhibitor was used. As presented in
Table 1, the results of the effect of VP extract on the corrosion of Al in varying HCl
concentration and temperatures. It reveals that the corrosion rate of Al in HCl increased with
increase in concentration and temperature but decreased with increase in the concentration
of VP extract. Similar results were also obtained for NaOH solutions. At higher
temperatures, weight loss were found to increase with increase in temperature even as the
VP extract concentrations got higher, indicating that the rate of corrosion of aluminium in
all HCl or NaOH concentrations increases with increase in temperature and that VP extract
is adsorbed on the surface of Al according to the mechanism of physical adsorption [17, 19,
22, 23].
3.2 Inhibition Efficiencies of the Plant Extract
To further establish the results of this study, values of percentage inhibition
efficiencies of Al in HCl and NaOH solutions with or without VP extract as inhibitor using
weight loss methods were calculated. The results were as presented in Table 2. From the
results obtained it is evident that the inhibition efficiency decreases with increase in
A.M. Ayouba et al.. RHAZES: Green and Applied Chemistry, Vol. 13, 2021, pp.66-86
71
corrodent concentration and temperature but increases with increasing VP extract
concentrations in all systems (HCl or NaOH) tested. These results signify that the inhibitor
is an adsorption inhibitor and that the adsorption of the inhibitor on Al surface favours the
mechanism of physical adsorption [24].
Table 1: Corrosion rates (gh-1cm-2) of Al in HCl and NaOH solutions containing various
concentrations of VP extract at varying temperatures
Temperature 303K 313K 323K
Corrodent Inhibitor Corrodent Concentration
CONCENTRATION 0.6M 0.8M 1.0M 0.6M 0.8M 1.0M 0.6M 0.8M 1.0M
0.00g/L 0.625 1.014 1.167 0.681 0.901 0.931 0.708 0.903 0.972
HCl 0.20g/L 0.625 0.972 1.097 0.667 0.875 0.903 0.708 0.889 0.944
0.40g/L 0.625 0.944 1.083 0.653 0.861 0.889 0.694 0.861 0.917
0.60g/L 0.597 0.931 1.028 0.653 0.847 0.875 0.667 0.819 0.875
0.00g/L 0.681 0.986 1.375 1.014 1.139 1.167 1.083 1.236 1.264
NaOH 0.20g/L 0.486 0.972 1.361 1.069 1.083 1.111 0.986 1.222 1.250
0.40g/L 0.389 0.944 1.208 0.958 1.014 1.056 0.958 1.181 1.306
0.60g/L 0.333 0.431 1.000 0.917 0.972 1.222 0.931 1.139 1.267
Table 2: Percentage Inhibition Efficiencies of Al in HCl and NaOH solutions containing
various concentrations of VP extract at varying temperatures
Temperature 303K 313K 323K
Corrodent Inhibitor Corrodent Concentration
Concentration 0.6M 0.8M 1.0M 0.6M 0.8M 1.0M 0.6M 0.8M 1.0M
0.00g/L 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
HCl 0.20g/L 5.952 4.110 2.041 3.077 2.985 0.000 2.857 1.538 0.000
0.40g/L 7.143 6.849 4.082 5.714 4.615 1.961 4.615 4.478 0.000
0.60g/L 11.90 8.219 4.444 10.00 9.231 5.882 6.154 5.970 4.082
0.00g/L 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
NaOH 0.20g/L 28.57 1.408 1.01 2.740 1.878 1.076 1.282 1.124 1.099
0.40g/L 42.86 5.051 4.525 11.54 4.98 4.524 5.479 4.494 4.396
0.60g/L 56.34 51.02 11.11 15.38 14.63 10.29 8.219 7.865 7.692
Table 3: Phytochemicals in VP Extract
Phytochemicals Results
Carbohydrate +
Free Reducing Sugar +
Cardiac Glycoside -
Saponin +
Steroid +
Alkaloids +
Flavonoids -
Anthracene -
Ketoses +
+ : Detected - : Not detected
3.3 Phytochemical Composition of Ethanol Extracts of VP
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The ethanol extract of VP was subjected to phytochemical screening in other to detect the
group of phytochemicals present in the extract. The results obtained are as presented in Table
3. It can be observed that carbohydrates, saponin, free reducing sugars, steroids, alkaloids
and ketoses were detected. It is expected that these phytochemicals may be responsible for
the inhibition potentials of the studied plant extract.
3.4 Kinetic Consideration
As established by many researchers, Eddy et al. [17, 19, 23, 24] reported that most
corrosion reactions obey the first order kinetic model. To further establish that with respect
to this study, equation (4) was used where k1 is the first order reaction rate constant and t is
the time in hours:
−𝒍𝒐𝒈 (𝒘𝒆𝒊𝒈𝒉𝒕 𝒍𝒐𝒔𝒔) = 𝒌𝟏𝒕
𝟐.𝟑𝟎𝟑 (4)
The plots of –log (weight loss) versus time (in the presence and absence of VP extract
were linear (with almost unity values for R2) confirming that a first order kinetic is applicable
to the corrosion of Al in the presence and absence of VP extract in HCl and NaOH solutions.
Also the half-life of a first order reaction is related to the rate constant according to equation
(5):
𝒕𝟏/𝟐 = 𝟎.𝟔𝟗𝟑
𝒌𝟏 (5)
Values of the half-life and rate constants obtained from the slopes of the kinetic plots
are presented in the Table 4. The results revealed that the half-lives of Al in the presence of
VP extract were higher than those without VP extract indicating that the inhibitors increased
the half-life of Al in HCl or NaOH solution. Secondly, it was also observed that the higher
the VP extract concentration the higher the half-life values. Thirdly, both temperature and
corrodent concentrations were found to affect the half-life values, as can be seen from the
Table 4.
3.5 Thermodynamic Considerations
3.5.1 Effect of Temperature
In order to study the effect of temperature on the corrosion of Al in varying
concentrations of HCl and NaOH containing various concentrations of VP extract, the
Arrhenius equation (6) was used:
𝑪𝑹 = 𝑨𝒆𝒙𝒑 (−𝑬𝒂
𝑹𝑻) (6)
Taking logarithm of both sides at a particular temperature gives equation (7), while
at two different temperatures gives equation (8)
𝒍𝒐𝒈(𝑪𝑹) = 𝒍𝒐𝒈𝑨 − 𝑬𝒂
𝟐.𝟑𝟎𝟑𝑹𝑻. (7)
𝒍𝒐𝒈 (𝑪𝑹𝟐
𝑪𝑹𝟏) =
𝑬𝒂
𝟐.𝟑𝟎𝟑𝑹(
𝟏
𝑻𝟏−
𝟏
𝑻𝟐) (8)
Where CR1 and CR2 are the corrosion rates of Al at temperatures T1 (303K) and T2
(323K) respectively, Ea is the activation energy and R is the gas constant. Calculated values
of activation energy using equation (8) are presented in Table 5. Effect of corrodent
concentration and inhibitor concentrations were taken into consideration. It was observed
that the values obtained in the presence of the inhibitor were all greater than those without
inhibitor, indicating that the inhibitor increases the activation energy and thereby decreasing
A.M. Ayouba et al.. RHAZES: Green and Applied Chemistry, Vol. 13, 2021, pp.66-86
73
the rate of reaction. It was also observed that, as the concentration of corrodent increases the
activation energy decreases thereby increasing the rate of corrosion. It can also be observed
from Table 5 that the activation energies are less than the threshold value of 80kJ/mol which
is required for the mechanism of chemical adsorption. Therefore the adsorption of VP extract
on the surface of Al is consistent with the mechanism of physical adsorption [25].
The heat of adsorption Qads of VP extract on the surface of Al in HCl and NaOH
solution was calculated using equation (9):
𝑸𝒂𝒅𝒔 = 𝟐. 𝟑𝟎𝟑𝑹 [𝒍𝒐𝒈 (𝝑𝟐
𝟏−𝝑𝟐) − 𝒍𝒐𝒈 (
𝝑𝟏
𝟏− 𝝑𝟏)] 𝒙
𝑻𝟏− 𝑻𝟐
𝑻𝟐 − 𝑻𝟏
𝒌𝑱
𝒎𝒐𝒍𝒔 (9)
Where Qads is the heat of adsorption of the VP extract on the surface of Al, R is the
gas constant, θ1 and θ2 are the degrees of surface coverage of VP extract at 303K (T1) and
323K (T2) respectively. Calculated values of Qads are also presented in Table 5. These values
were all negative and tend to decrease with corrodent concentration and increase with VP
extract concentration indicating that the adsorption of VP extract on the surface of Al in HCl
and NaOH is in all cases tested exothermic.
Table 4: Kinetic parameters for the corrosion inhibition of Al in HCl and NaOH solutions
using VP extract as inhibitor
Corrodent Temp Inhibitor conc 0.00g/L 0.20g/L 0.40g/L 0.60g/L
Kinetic
parameter k1 t1/2 k1 t1/2 k1 t1/2 k1 t1/2
0.6M 0.133 5.206 0.133 5.206 0.133 5.206 0.141 4.926
303K 0.8M 0.052 13.21 0.059 11.66 0.091 7.632 0.103 6.747
1.0M 0.029 23.84 0.039 17.64 0.041 16.73 0.050 13.81
0.6M 0.119 5.828 0.133 5.206 0.133 5.206 0.133 5.206
HCl 313K 0.8M 0.067 10.38 0.072 9.650 0.072 9.650 0.080 8.697
1.0M 0.072 9.650 0.072 9.65 0.074 9.315 0.077 8.998
0.6M 0.112 6.174 0.112 6.174 0.133 5.206 0.141 4.926
323K 0.8M 0.072 9.650 0.085 8.138 0.091 7.632 0.097 7.17
1.0M 0.059 11.66 0.064 10.78 0.067 10.38 0.069 10.01
0.6M 0.119 3.96 0.238 3.266 0.212 2.913 0.175 5.828
303K 0.8M 0.057 11.66 0.195 10.78 0.064 3.550 0.059 12.14
1.0M 0.002 205.8 0.021 67.19 0.010 32.52 0.003 413.6
0.6M 0.041 15.91 0.064 11.20 0.062 10.78 0.044 16.73
NaOH 313K 0.8M 0.033 16.73 0.059 13.21 0.052 11.66 0.041 20.95
1.0M 0.029 18.63 0.055 15.15 0.046 12.66 0.037 23.84
0.6M 0.052 12.14 0.067 11.20 0.062 10.38 0.057 13.21
323K 0.8M 0.019 32.52 0.033 25.58 0.027 20.95 0.021 35.67
1.0M 0.016 39.46 0.029 29.85 0.023 23.84 0.018 44.08
Table 5: Some adsorption parameters for the inhibition of the corrosion of Al in varying
Corrodent Solution by VP extract
A.M. Ayouba et al.. RHAZES: Green and Applied Chemistry, Vol. 13, 2021, pp.66-86
74
Inhibitor conc 0.00g/L 0.20g/L 0.40g/L 0.60g/L
Corrodent Cor conc Ea Qads Ea Qads Ea Qads Ea Qads
0.6M -20.2 0.00 -17.9 -57.03 -18.1 -249 -15.3 -305
NaOH 0.8M -6.77 0.00 -5.85 -27.12 -4.79 -36.56 -4.86 -54.4
1.0M 3.434 0.00 5.096 -7.015 6.724 -26.13 7.024 -35.5
0.6M -3.34 0.00 -10.5 -190.9 0.000 -190.9 3.858 51.11
HCl 0.8M 2.565 0.00 6.698 -25.81 9.595 -167.4 8.539 -116
1.0M -61.9 0.00 -37.8 -18.03 -38.7 -125.9 -39.1 -114
3.5.2 Enthalpy and Entropy of Adsorption
In order to calculate some other thermodynamic parameters for the adsorption (ΔSads
and ΔHads) of VP extract on Al surface, the transition state equation (10) was used:
𝒍𝒐𝒈 (𝑪𝑹
𝑻) = 𝒍𝒐𝒈 (
𝑹
𝑵𝒉) +
∆𝑺𝒂𝒅𝒔
𝟐.𝟑𝟎𝟑𝑹−
∆𝑯𝒂𝒅𝒔
𝟐.𝟑𝟎𝟑𝑹𝑻 (10)
Where CR is the corrosion rate, T is absolute temperature, R is gas constant, N is
Avogadros constant, h is planks constant, ΔSads and ΔHads are entropy and enthalpy of
adsorption. From this equation (10), a plot of log(CR/T) versus 1/T gave a straight line with
a slope and intercept equal to -ΔHads/2.303R and [log(R/Nh) + ΔSads/2.303R]. Values of
ΔSads and ΔHads calculated from equation (10) are recorded in Table 6. The negative values
of ΔHads indicated that the corrosion of aluminium inhibited by VP extract is exothermic and
increases with corrodent concentration increase, suggesting a feasible reaction.
3.5.3 Free energy of Adsorption
The Gibb’s free energy of adsorption of VP extract onto the surface of Al in HCl and
NaOH solutions was calculated at three different temperatures using the Gibbs-Helmholtz
equation (11):
ΔGads = ΔHads - TΔSads (11)
Where ΔGads is the free energy of VP extract adsorption onto Al surface, ΔHads is the
enthalpy of its adsorption and ΔSads is the entropy of adsorption and T is the temperature
(K). The calculated values of the free energy are as presented in Table 7. From the results
obtained the free energies were found to increase with temperature, decrease with inhibitor
concentration and increase with HCl concentration but decrease with NaOH concentration.
However all these values are lower in actual value than the threshold of -40kJ/mol required
for chemical adsorption. This indicates that the adsorption of VP extract onto the surface of
Al is spontaneous and also supports the mechanism of physical adsorption [25].
Table 6: Enthalpy and entropy of adsorption of VP extract on the surface of Al in test
solution
Inhibitor conc 0.00g/L 0.20g/L 0.40g/L 0.60g/L
Corrodent Corr conc ΔH ΔS ΔH ΔS ΔH ΔS ΔH ΔS
0.6M -3.446 0.227 -7.659 0.227 -7.659 0.229 -3.829 0.229
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75
HCl 0.8M -4.595 0.226 -11.49 0.227 -11.49 0.227 -8.616 0.227
1.0M -7.659 0.225 -19.15 0.225 -19.15 0.225 -15.32 0.226
0.6M -36.38 0.218 -86.16 0.213 -72.76 0.215 -63.19 0.214
NaOH 0.8M -9.574 0.222 -70.84 0.215 -1.915 0.223 -7.659 0.223
1.0M -3.829 0.223 -9.574 0.223 -9.574 0.223 -7.659 0.222
Table 7: Gibb’s free energy of adsorption of VP extract onto Al surface in HCl and NaOH
solutions at varying temperatures
Corrodent HCl NaOH
Temperature
CRC INC 303K 313K 323K 303K 313K 323K
0.00g/L -73.51 -75.78 -78.06 -102.5 -104.7 -106.9
0.6M 0.20g/L -76.51 -78.78 -81.06 -150.8 -152.9 -155.0
0.40g/L -72.76 -75.05 -77.34 -137.8 -140.0 -142.1
0.60g/L -77.15 -79.44 -81.73 -128.1 -130.3 -132.4
0.00g/L -76.11 -78.37 -80.63 -76.82 -79.03 -81.25
0.8M 0.20g/L -77.35 -79.62 -81.89 -136.0 -138.1 -140.3
0.40g/L -80.34 -82.61 -84.89 -69.56 -71.79 -74.02
0.60g/L -80.40 -82.67 -84.95 -75.25 -77.48 -79.71
0.00g/L -71.93 -74.18 -76.43 -71.30 -73.53 -75.76
1.0M 0.20g/L -87.43 -89.68 -91.93 -77.16 -79.39 -81.62
0.40g/L -87.43 -89.68 -91.93 -77.05 -79.27 -81.50
0.60g/L -83.65 -85.91 -88.16 -75.07 -77.30 -79.52
Key: INC (Inhibitor Concentration) and CRC (Corrodent Concentration)
3.6 Adsorption Isotherm Models
Generally, four types of adsorptions may take place, involving organic molecules at
the metal solution interface, namely; the electrolytic attraction between charged molecules
and the charged metal, interaction of unshared electron pairs in the molecules with the metal,
interaction of s electrons with metal and combination of the above [17, 19]. These
mechanisms are usually described by adsorption isotherms. The adsorption behavior of VP
extract was studied by fitting data obtained from degree of surface coverage to different
adsorption isotherms including Langmuir, Temkin, Frumkin, Flory-Huggins and El-Awardy
adsorption isotherms. The tests reveal that the adsorption of VP extract on Al surface is best
described by Langmuir, Flory-huggins and Temkin values in NaOH solution whereas
Frumkin, Langmuir, Temkin, Flory-Hoggins at higher temperature (323K) in HCl solutions
adsorption isotherms in decreasing order based on plot correlation coefficient (R2).
3.6.1 Langmuir Adsorption Isotherm Model
The adsorption behavior of VP extract was studied by fitting the data obtained on the
expression of Langmuir adsorption isotherm model as in equation (12):
𝑪
𝝑=
𝟏
𝑲𝒂𝒅𝒔+ 𝑪 (12)
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76
Taking logarithm of both sides yielded equation (13)
𝒍𝒐𝒈 (𝑪
𝝑) = 𝒍𝒐𝒈 𝑪 − 𝒍𝒐𝒈 𝑲𝒂𝒅𝒔 (13)
Where C is the concentration of the inhibitor in the solution, θ is the degree of surface
coverage of the inhibitor, and Kads is the equilibrium constant of adsorption. Using equation
(13), a plot of log(C/θ) versus logC was found to be linear for NaOH solution, indicating the
application of the Langmuir model to the adsorption of VP extracts on aluminium surface.
Values of Langmuir adsorption parameters deduced from the slopes and intercept of the plots
are presented in Table 8. From the results obtained, the slopes and values of R2 are very close
to unity indicating that there is a strong adherence of the inhibitor adsorption to the
assumption of Langmuir isotherm; monolayer adsorption and non-interaction of adsorbed
molecules as earlier reported by Eddy and Odiongenyi [25]. The plots of log(C/θ) versus
logC were not linear and have a very low R2 values in HCl solution, indicating that the
adsorption of the inhibitor was not consistent with the assumptions of Langmuir all
conditions tested except at 323K. Values of the adsorption parameters deduced from
Langmuir plots are recorded in Table 8.
3.6.2 Temkin Adsorption Isotherm Model
According to Temkin adsorption isotherm, the degree of surface coverage (θ) is
related to the concentration of the inhibitor (C) in the bulk electrolyte according to equation
(14):
𝑒𝑥𝑝 (– 2𝑎𝜗) = 𝐾𝐶 (14)
Upon taking the logarithm of both sides and re-arranging, equation (15) and (16) resulted:
𝜗 = −2.303𝑙𝑜𝑔𝐾
2𝑎−
2.303𝑙𝑜𝑔𝐶
2𝑎 (15)
𝜗 =−𝒍𝒏𝑲
𝟐𝒂−
𝒍𝒏𝑪
𝟐𝒂 (16)
Where K and a are the equilibrium constant of adsorption and Temkin interaction
parameter. Plot of θ versus logC was found to be linear for NaOH solution, indicating the
application of the Temkin model to the adsorption of VP extracts on Al surface. Values of
Temkin adsorption parameters deduced from the slopes and intercept of the plots are
presented in Table 8. From the results obtained, the slopes and values of R2 are very close to
unity indicating that there is a strong adherence of the inhibitor adsorption to the assumption
of Langmuir isotherm; mono layer adsorption and non-interaction of adsorbed molecule
[25].
The plots of θ versus logC were not linear and have a very low R2 values for HCl
solutions except at 323K, indicating that the adsorption of the inhibitor was not consistent
with the assumptions of Temkin except at higher temperature. Values of the adsorption
parameters deduced from Temkin plots are recorded in Table 8.
3.6.3 Frumkin Adsorption Isotherm Model
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77
The adsorption of VP extract on Al surface was also tested using Frumkin adsorption
isotherm which can be expressed as in equation (17):
𝑙𝑜𝑔 (𝐶 𝑥 𝜗
1−𝜗) = 2.303𝑙𝑜𝑔𝐾 + 2𝛼𝜗 (17)
Where K is the adsorption-desorption equilibrium constant and α is the lateral
interaction term describing the molecular interaction in the adsorbed layer. A plot of log(C
x θ/1-θ) versus θ was made, where K and α values where obtained from the slope and
intercept respectively. Values of Frumkin adsorption isotherm are also presented in Table 8.
From the results, values of α where found to be positive which also indicate the attractive
behavior of the inhibitor on the surface of Al which was found to decrease with increase in
HCl concentration.
A plot of log(C x θ/1-θ) versus θ were not linear and have a very low R2 values for
NaOH solutions at all condition tested, indicating that the adsorption of the inhibitor was not
consistent with the assumptions of Frumkin. Values of the adsorption parameters deduced
from Frumkin plots are recorded in Table 8.
3.6.4 Flory-Huggins Adsorption Isotherm Model
The values of θ/C in the plots (not shown) were evaluated directly from equation (18)
determined from the weight loss data. It was found that the experimental data obtained within
the temperature range (303, 313 and 323K) fits Flory–Huggins adsorption isotherm which
is given by equation (18):
𝑙𝑜𝑔 (𝜗
𝐶) = 𝑙𝑜𝑔𝐾 + 𝑥𝑙𝑜𝑔 (1 − 𝜗) (18)
Where θ is the degree of surface coverage, x is the number of inhibitor molecules
occupying an active site (or the number of water molecules replaced by one molecule of
VP), K the equilibrium constant of adsorption and C is the different concentrations of the
systems studied.
The plot of log (θ/C) versus log(1−θ) for Flory–Huggins’ isotherm at 303K gave
straight lines for Al in all concentrations of NaOH in the presence of VP extract (inhibitor).
Similar trend was observed at 313 and 323K respectively. Results from Table 8 shows that
values of x decreases with increase in NaOH concentration and also temperature. This
clearly indicates that the rate of VP extract adsorption on the surface of the Al metal
decreases with increase in temperature and NaOH concentrations [26].
The plot of log (θ/C) versus log(1−θ) were not linear and have a very low R2 values
for HCl solutions except at higher temperature (323K), indicating that the adsorption of the
inhibitor was not consistent with the assumptions of Flory-huggins except at higher
temperature. Values of the adsorption parameters deduced from Flory-huggins plots are
recorded in Table 8.
Table 8: Adsorption isotherm model parameters for the adsorption of VP extract on Al
surface in HCl and NaOH solutions at varying temperatures
Adsorption Corrodent Corrodent 303K 313K 323K
Isotherm Type Conc R2 Slope K R2 Slope K R2 Slope K
Lu
ng
mu
ir
0.6M 0.61 2.11 1.31 1.00 1.00 1.09 0.92 1.28 0.93
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HCl 0.8M 0.71 0.41 0.84 0.16 0.26 1.07 0.99 0.47 0.75
1.0M 0.73 -0.75 0.12 0.81 2.92 2.18 0.99 0.37 1.11
0.6M 0.98 -1.5 -0.6 0.81 -2.9 -2.1 0.98 -2.00 -1.7
NaOH 0.8M 1.00 -4.4 -2.7 0.96 -1.9 -1.4 0.94 -2.7 -2.2
1.0M 0.99 -3.07 -2.3 0.98 -2.0 -1.5 0.94 -2.7 -2.2
CONC R2 α K R2 Α K R2 α K
Fru
mk
in
0.6M 1.00 0.00 0.63 0.97 0.03 0.09 0.91 0.00 0.65
HCl 0.8M 0.90 -0.03 0.84 0.98 0.02 0.87 0.99 -0.1 1.3
1.0M 1.00 -0.05 1.12 0.96 0.00 0.62 0.99 0.00 1.07
0.6M 0.04 0.28 -0.1 0.64 0.01 0.28 0.02 0.02 0.02
NaOH 0.8M 1.00 0.00 0.46 0.10 0.03 0.06 0.63 0.01 0.15
1.0M 0.81 0.01 0.18 0.07 0.03 0.04 0.62 0.01 0.15
CONC R2 x K R2 X K R2 x K
F
lory
-Ho
gg
ins 0.6M 1.00 0.00 57.2 0.00 7.16 211 0.97 0.02 8.27
HCl 0.8M 0.82 -0.72 -3.3 0.07 -1.0 -3.5 0.95 0.17 7.39
1.0M 0.24 -0.51 3.81 0.67 -0.3 94.7 0.94 0.69 13.6
0.6M 0.98 -0.99 -4.4 0.99 -1.8 -26 1.00 -1.8 -38
NaOH 0.8M 0.92 -0.14 -5.1 1.00 -1.5 -20 0.99 -1.9 -43
1.0M 0.95 -1.8 -32 1.00 -1.5 -21 0.99 -1.9 -44
CONC R2 y K R2 Y K R2 y K
E
l-A
wa
rdy 0.6M 0.61 -1.54 -2.5 0.00 -1.1 0.00 0.75 -1.3 -1.7
HCl 0.8M 0.94 0.07 1.99 0.61 -1.0 0.78 0.99 -0.7 0.59
1.0M 0.83 -0.78 0.65 0.74 -2.6 -3.4 1.00 -1.1 0.65
0.6M 0.90 -0.53 -0.8 0.65 -2.1 -2.0 0.92 -1.7 -1.0
NaOH 0.8M 0.98 -2.87 -4.2 0.84 -1.4 -1.0 0.86 -2.2 -1.7
1.0M 0.89 -2.34 -2.2 0.92 -1.5 -1.0 0.86 -2.2 -1.7
CONC R2 a K R2 A K R2 a K
T
emk
in
0.6M 0.61 0.05 0.08 0.00 0.08 0.00 0.98 0.24 0.34
HCl 0.8M 0.98 0.38 0.47 0.61 0.08 0.08 0.98 0.16 0.13
1.0M 0.78 0.13 0.12 0.98 0.04 0.06 0.98 0.07 0.06
0.6M 0.91 0.21 -0.4 0.71 0.00 -0.2 0.98 -0.10 0.01
NaOH 0.8M 0.90 -0.24 -1.2 0.92 0.02 -0.2 0.98 -0.10 0.00
1.0M 1.00 -0.04 -0.2 0.98 0.01 -0.2 0.98 -0.10 0.00
3.6.5 El-Awady thermodynamic-kinetic model
The plot of log(θ/1−θ) against logC were not linear and have a very low R2 values
for all corrodent which showed that the results obtained from the study does not fit into the
El-Awady thermodynamic-kinetic model which is given by equation (19):
𝑙𝑜𝑔 (𝜗
1− 𝜗) = 𝑙𝑜𝑔 𝐾 + 𝑦𝑙𝑜𝑔 𝐶 (19)
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Where θ is the degree of surface coverage of the inhibitor, K is the equilibrium
constant of adsorption, 1/y represents the active sites on Al surface covered by inhibitor
molecules [26]. The values of y are increasing or 1/y decreasing as temperature and HCl
concentration decreases. This also reveals that the number of active sites replaced by the
inhibitor molecules decreases with increase in temperature and HCl concentrations. From
the results obtained it is seen that the adsorption of the inhibitor was not consistent with the
assumptions of El-Awady thermodynamic-kinetic model. Values of the adsorption
parameters deduced from this isotherm model plots are recorded in Table 8.
3.7 Quantum Chemical Calculations
Quantum chemical calculations of the four compounds (betulinic, oleanolic, ursolic
and ester) which are all isolates of VP were performed to further elucidate the inhibition
mechanism at atomistic level. It is evident that higher EHOMO edge improves the ability of an
inhibitor to donate electrons to acceptor atom/molecule/group and vice-versa for ELUMO [27].
The frontier molecular orbital structures of the three compounds (betulinic, ursolic and
oleanolic acids) which have similar molecular weight (457g/mol), total number of electrons
(252), highest occupied molecular orbital (HOMO) number (126) and lowest unoccupied
molecular orbital number (LUMO) number (127) and that of ester with dissimilar properties
were presented in Figure 1.
The isolated compounds are highly electron donating molecules, susceptible to
electrostatic attraction on the aluminium surface due to their energy of HOMO (EHOMO),
energy of LUMO (ELUMO) and energy gap (∆E) values. Compounds with higher negative
value of EHOMO and lowest positive value of ∆E is expected to inhibit corrosion more due to
its high tendency of donating electrons [21]. It would be seen from Table 9 that higher EHOMO
value (-5.499) was assigned to betulinic acid while lowest ∆E value (0.172) was assigned to
an ester. Excellent corrosion inhibitors are usually those organic compounds who not only
offer electrons to unoccupied orbital of the metal but also accept free electrons from the
metal [28].Thus, ester is expecting to supersede betulinic due to its (ELUMO) value (-3.322).
Ionization potential (I), electron affinity (A), absolute global hardness and global
softness are fundamental descriptors of the chemical reactivity of the compounds at atomic
and molecular level. Hard molecules with high ionization energy are more stable (with
chemical inertness) due to attributed large energy gap which signifies the resistance towards
the deformation or polarization of the electron cloud of the atoms, ions or molecules under
small perturbation of chemical reaction while soft molecules with low ionization energy are
highly reactive [29].
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Optimized geometry of
betulinic acid
Optimized geometry of
ursolic acid
Optimized geometry of
oleanolic acid
Optimized geometry of
ester
Electron density of
betulinic acid
Electron density of
ursolic acid
Electron density of
oleanolic acid
Electron density of
ester
HOMO of betulinic acid
HOMO of ursolic acid
HOMO of oleanolic acid
HOMO of ester
LUMO of betulinic acid
LUMO of ursolic acid
LUMO of oleanolic acid LUMO of ester
Figure 1: Optimized geometrical structures and frontier molecular orbitals of the VP
compounds (Colour scheme: White = hydrogen, grey = carbon, red = oxygen).
Least ionization potential (3.494) and hardness (0.172) as well as high electron
affinity (3.322) and softness (5.814) values were observed in the ester molecule with highest
inhibition efficiency because adsorption of inhibitor onto Al surface occurs at the part of the
molecule which has the greatest softness and lowest hardness [30]. The reverse is the case
for betulinic acid. Ionization potential and electron affinities are related to the energy of
highest occupied molecular orbital and lowest unoccupied molecular orbital by Koopman’s
theorem [31, 32] as in equations (20 and 21):
𝐼 = −𝐸𝐻 (20)
𝐴 = −𝐸𝐿 (21)
Absolute global hardness, global softness (inverse of chemical hardness) and
absolute electronegativity were derived from ionization potential and electron affinity as
presented in equations (22-24) [27, 33, 34]:
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η = (𝐼−𝐴
2) = −
𝐸𝐿𝑈𝑀𝑂−𝐸𝐻𝑂𝑀𝑂
2 (22)
σ=1
η=
2
𝐼−𝐴= −
2
𝐸𝐿𝑈𝑀𝑂−𝐸𝐻𝑂𝑀𝑂 (23)
χ=(𝐼+𝐴)
2 = −
𝐸𝐿𝑈𝑀𝑂+𝐸𝐻𝑂𝑀𝑂
2 (24)
Electrophilicity index (ω) indicates the ability of the compounds to accept electrons
whereas nucleophilicity (ε) which is the inverse of electrophilicity (1/ ω) represents the
propensity of the compounds to donate or share electrons. It is known that molecules with
large values of electrophilicity index are poor corrosion inhibitors while molecules with high
values of nucleophilicity are good corrosion inhibitors. Table 9 reported large values of
electrophilicity index of an ester (33.762) which is due to the quadratic dependence of LDA
functional on electronegativity, consequently these two parameters cannot be used to judge
the inhibition efficiency of the studied compounds as suggested by Guo et al. [35].
Table 9: Values of electronic/structural parameters of VP extract phytochemicals Electronic/structural property Betulinic acid Ursolic acid Oleanolic acid Ester
HOMO (at orbital number) 126 126 126 150
LUMO (at orbital number) 127 127 127 151
EHOMO (eV) -5.499 -5.412 -5.274 -3.494
ELUMO (eV) -0.475 -0.683 -0.767 -3.322
∆E (eV) 5.024 4.729 4.507 0.172
Molecular mass (g/mol) 457 457 457 529
Ionization potential (I) (eV) 5.499 5.412 5.274 3.494
Electron affinity (A) (eV) 0.475 0.683 0.767 3.322
Absolute electronegativity (χ) 2.987 3.048 3.021 3.408
Chemical Potential (μ) -2.987 -3.048 -3.021 -3.408
Absolute global hardness (η) 2.512 2.365 2.254 0.172
Global softness (σ) 0.398 0.423 0.444 5.814
Global electrophilicity index (ω) 1.776 1.964 2.024 33.762
Nucleophilicity (ε) 0.563 0.509 0.494 0.030
Total number of electrons 252 252 252 300
Fraction of electrons transferred
(∆N)
0.5201 0.5395 0.5721 6.3866
Energy of back donation (∆b-d) -0.628 -0.591 -0.564 -0.043
The supercilious nature of inhibition can also be related to the value of the fraction
of electrons transferred (ΔN) shown in equation (25). This important parameter is based on
absolute electronegativity of both the metal and the inhibitor and their absolute hardness. A
higher value of ΔN is an evidence for relatively stronger electron donation and a higher
tendency to interact with the aluminium [21]. 𝜒𝐴𝑙 and 𝜒𝑖𝑛ℎ represent absolute
electronegativity of aluminium and inhibitor (compounds) respectively, η𝐴𝑙 and η𝑖𝑛ℎ are the
hardness of Al and inhibitor compounds respectively. The theoretical value of
electronegativity and hardness of bulk Al are 5.6eV and 0 respectively by assuming that for
a metallic bulk I = A [36, 37] because they are softer than neutral metallic atoms.
Impressively from Table 9, ester exhibits the highest ΔN value (6.3866) due to its stronger
electron donation.
∆N = 𝜒𝐴𝑙− 𝜒𝑖𝑛ℎ
2(η𝐴𝑙+η𝑖𝑛ℎ) (25)
Energy of back donation (ΔE𝑏−𝑑) calculated using equation (26) is another important
parameter that describes the interaction of inhibitor molecules with metal surface as
proposed by Gomez et al. [38]. Bedair [39] reported that if the value of global hardness is
positive and ΔE𝑏−𝑑 is negative then the process of back donation is favoured. According to
the results obtained in Table 9 the values of global hardness are positive and that of back
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donation are negative, to that end we can say that the interaction of the inhibitor molecules
with Al surface involves the transfer of charge from compounds to Al metal and vice versa.
According to energy of back donation, the inhibition efficiency of the compounds obeys the
trend Ester>Oleanolic>Ursolic>Betulinic which is in agreement with parameters earlier
discussed.
ΔE𝑏−𝑑 = −η
4 =
1
8(𝐸𝐻𝑂𝑀𝑂 − 𝐸𝐿𝑈𝑀𝑂) (26)
Presence of different functional groups on the studied compounds allowed the
investigation of the local reactivity of the molecules. The condensed Fukui indices calculated
using DMol3 Mulliken and Hirshfeld analysis of Material Studio 8 distinguished each part
of the compounds on the basis of its distinct chemical behavior due to different substituents
[21, 40]. Thus, the site for nucleophilic and electrophilic attack will be the position where
the value of F+ and F- are a maximum respectively as presented in Table 10. It can be
observed from Table 10 that the electrophilic and nucleophilic indices of betulinic acid are
oriented on oxygen O(17) and O(36) respectively for Mulliken and Hirshfeld while that of
ursolic and oleanolic acids are oriented around oxygen O(33 and 34) for Mulliken and
Hirshfeld electrophilic and carbon C(28 and 29) for Mulliken and Hirshfeld nucleophilic
attacks. Carbon C(17) remain the most reactive site on ester for both Mulliken and Hirshfeld
electrophilic and nucleophilic attacks with the exception of Mulliken nucleophilic where
oxygen O(4) shows more reactivity. This indicates that carbon and oxygen atoms at the
carboxylic and/or hydroxyl positions are the preferred adsorbed sites on the molecules.
Table 10: Calculated Fukui Indices for Inhibitor Molecules with the Al (110) Surface using
Forcite Quench Dynamics Electrophilic (F-) Nucleophilic (F+)
Mulliken Hirshfeld Mulliken Hirshfeld
Molecule Atom Value Atom Value Atom Value Atom Value
Betulinic acid
O(17) 0.151 O(17) 0.137 O(36) 0.128 O(36) 0.123 Ursolic acid
O(33) 0.138 O(33) 0.131 C(28) 0.134 C(28) 0.120 Oleanolic acid
O(34) 0.121 O(34) 0.115 C(29) 0.153 C(29) 0.138
Ester C(17) 0.065 C(17) 0.062 O(4) 0.063 C(17) 0.066
3.8 Molecular Dynamic Simulations
The equilibrium configuration of lowest energy of the four inhibitors molecules
adsorbed on Al (110) surface can be further investigated using Forcite quench molecular
dynamics in Materials Studio 8. Figure 2 shows the cross-sectional side views of the lowest
energy adsorption configurations for monomolecular compounds on Al (110) surface.
Theoretical adsorption energy, Eads and binding energy were calculated to quantitatively
estimate the interaction between the molecules and the Al (110) surface using equation (27)
[21]:
Eads = -Binding energy = Etotal – (Einhibitor + EAl surface) (27)
Where Einhibitor, EAlsurface and Etotal correspond to the total energies of the inhibitor molecule,
Al (110) plane and the adsorbed molecule coupled with gas phase Al (110), respectively. In
this study, the Al (110) surface energy was zeroed. Parameters calculated such as kinetic
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energy, potential energy, the energy of the inhibitor molecule, energy of Al (110) surface
and binding energy, are presented in Table 11. Basically, the negative value of adsorption
energy and positive value for binding energies corresponds to a stable adsorption structure
indicating good performance of the compounds as inhibitors with ursolic acid having the
highest value (-42.633) slightly higher than oleanolic acid. It has been reported by Akalezi
et al. [41] that Eads value below 100 kcalmol-1(418.4kJmol-1) corresponds to physical
adsorption and vice-versa for chemical adsorption. This strong affinity of the compounds for
the Al (110) surface accounts for the remarkable corrosion inhibition efficacy of the extract
as observed experimentally [42, 43].
Table 11: Calculated Adsorption Parameters for the Interaction of the Compounds with the
Al (110) Surface using Forcite Quench Dynamics
Properties (kcalmol-1)
Inhibitor Molecules
Betulinic acid Ursolic acid Oleanolic acid Ester
Total Kinetic Energy 53.699 115.324 57.121 83.248
Total Potential Energy -83.826 -93.141 -102.927 -143.938
Energy of Molecule -52.202 -52.585 -60.294 -114.366
Energy of Al(110) Surface 0.000 0.000 0.000 0.000
Adsorption Energy -31.624+4.187×10-6 -42.633+2.199×10-5 -41.584+0.047 -29.572+16.286
Binding Energy 31.624 42.633 41.584 29.572
Overlaid betulinic acid
Overlaid ursolic acid
Overlaid oleanolic acid
Overlaid ester
Figure 2: Side view snap shot of monomolecular adsorbed molecules on Al (110) surface.
4. CONCLUSION
The adsorptive and inhibitive properties of VP extract was studied on Al surface
corrosion in HCl and NaOH solutions at varying temperatures, inhibitor and corrodent
concentrations using weight loss and computational methods. From the findings of this work,
the following conclusions can be drawn;
1. VP extract and its isolated compounds were found to inhibit Al corrosion in HCl and
NaOH solutions.
2. Increase in the concentration of VP extract decreases the rate of Al corrosion in HCl
thereby increases the inhibition efficiency.
3. Higher corrodent concentration, temperature reduced the inhibitive effect of VP extract
on the corrosion of Al in both corrodent solutions.
4. The corrosion reaction in the presence and absence of VP extract was found to follow first
order kinetics and its half-life increases with VP extract concentration, but decreases
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with increase in temperature and corrodents concentration.
5. The theoretical adsorption energy (Eads) and thermodynamic parameters (Ea, Qads, ΔSads,
ΔHads, ΔGads) data for the adsorption of VP extract and its isolated compounds to the
surface of Al in test solutions was found to obey the mechanism of physical adsorption.
6. The adsorption of VP extract onto the surface of Al in NaOH solution was found to follow
the models of Langmuir, Flory-Huggins and Temkin adsorption isotherms, whereas in
HCl was found to follow the models of Langmuir, Flory-Hoggins and Frumkin
adsorption isotherms.
7. Comparison of the inhibition efficiency of the bulk extracts (used in weight loss) and
isolated compounds (used in computational methods) are closely related.
8. Ethanol extract of VP extract and its isolated compounds are good inhibitors for the
corrosion of Al in HCl and NaOH solutions. The inhibition efficiency of the extract may
be due to the presence of saponin, carbohydrate, steroid, free reducing sugar, ketoses and
alkaloids present there in.
ACKNOWLEDGEMENTS
The authors wish to acknowledge the contribution of Dr. David Arthur of Baze University,
Abuja, Nigeria for the installation of Acceryls Materials Studio 8 software package.
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