xie 2015

37
Accepted Manuscript Molecular dynamics simulation of inhibition mechanism of 3, 5-dibromo sali- cylaldehyde schiff’s base Si-Wei Xie, Zheng Liu, Guo-Cheng Han, Wei Li, Jin Liu, ZhenCheng Chen PII: S2210-271X(15)00146-2 DOI: http://dx.doi.org/10.1016/j.comptc.2015.04.003 Reference: COMPTC 1786 To appear in: Computational & Theoretical Chemistry Received Date: 24 June 2014 Revised Date: 6 March 2015 Accepted Date: 5 April 2015 Please cite this article as: S-W. Xie, Z. Liu, G-C. Han, W. Li, J. Liu, Z. Chen, Molecular dynamics simulation of inhibition mechanism of 3, 5-dibromo salicylaldehyde schiff’s base, Computational & Theoretical Chemistry (2015), doi: http://dx.doi.org/10.1016/j.comptc.2015.04.003 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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  • Accepted Manuscript

    Molecular dynamics simulation of inhibition mechanism of 3, 5-dibromo sali-

    cylaldehyde schiffs base

    Si-Wei Xie, Zheng Liu, Guo-Cheng Han, Wei Li, Jin Liu, ZhenCheng Chen

    PII: S2210-271X(15)00146-2

    DOI: http://dx.doi.org/10.1016/j.comptc.2015.04.003

    Reference: COMPTC 1786

    To appear in: Computational & Theoretical Chemistry

    Received Date: 24 June 2014

    Revised Date: 6 March 2015

    Accepted Date: 5 April 2015

    Please cite this article as: S-W. Xie, Z. Liu, G-C. Han, W. Li, J. Liu, Z. Chen, Molecular dynamics simulation of

    inhibition mechanism of 3, 5-dibromo salicylaldehyde schiffs base, Computational & Theoretical Chemistry

    (2015), doi: http://dx.doi.org/10.1016/j.comptc.2015.04.003

    This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers

    we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and

    review of the resulting proof before it is published in its final form. Please note that during the production process

    errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

  • Molecular dynamics simulation of inhibition mechanism of

    3, 5-dibromo salicylaldehyde schiff's base

    Si-Wei Xiea, Zheng Liu

    a*, Guo-Cheng Han

    b**, Wei Li

    a, Jin Liu

    a, ZhenCheng Chen

    b

    a College of Chemical and Biological Engineering, Guilin University of Technology, Guilin 541004,Guangxi, PR

    China

    bSchool of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, P.R.

    China

    *Corresponding author: Tel.: +86 773 589 6453; E-mail:[email protected] (Z.Liu)

    ** Corresponding author: Tel.: +86 773 221 7609; E-mail: [email protected](G.-C. Han)

    Abstract: Molecular dynamics simulation method was adopted to investigate the absorption

    behavior, inhibition mechanisms on Fe(1 0 0) surface in aqueous solution and the diffusion

    behavior of H3O+, Cl

    - and H2O in three of 3, 5-dibromo salicylaldehyde Schiff base inhibitor

    films, including 3, 5-dibromo salicylaldehyde-2-pyridinecarboxylic acid hydrazide (L1),

    3,5-dibromo salicylaldehyde-2-thiol-phenecarboxylic acid hydrazide(L2), 3,5-dibromo

    salicylaldehyde-2-aminobenzothiazole (L3). The effects of the interaction energy, radial

    distribution function and the self-diffusion coefficient were studied accompanying with

    density functional theory (DFT) study. The results demonstrated that the order of adsorption

    energy is E(L2)>E(L1)>E(L3), absorption manner is a multi-center chemical adsorption for

    three inhibitor films; for different inhibitor films, the diffusion coefficients followed the order

    of D(L3)>D(L1)>D(L2) for the Cl- corrosive particles, the diffusion coefficients followed the

    order of D (L3)> D (L1)> D (L2) for the H3O+ corrosive particles. For the three inhibitor films,

    the diffusion coefficients of the three corrosive particles all followed the order of

    D(H2O)>D(H3O+)>D(Cl

    -). The inhibition efficiency order was obtained from the diffusion

    coefficient which is agreed well with the experimental results as EI (L2)> EI (L1)> EI (L3).

    Three kinds of inhibitor films have good corrosion inhibition efficiency in aqueous solution.

    Key words: Molecular dynamics simulation; Schiff base inhibitor; Inhibition mechanism;

    Adsorption energy

  • 1. Introduction

    Nowadays, computer technology is renewed by the rapid development of science and

    technology, accompanying with hot topic of organic inhibitors mechanism study in corrosion

    science. It is very useful to develop new inhibitors and study their adsorption behaviors and

    inhibition effects. Molecular dynamics simulations (MD) can be carried out to study the

    dynamic adsorption process and inhibition mechanism of inhibitor molecules adsorption film

    on the metal surface effectively [1-4]. There are some reports focused on corrosion inhibitors

    by molecular dynamics simulation [5,6]. Zeng and coworkers studied inhibition effect of

    inhibitors on iron, such as PASP, HPMA and PESA in aqueous solution, the results show that

    three kinds of corrosion inhibitors can attach on iron surface with good inhibition effects [7].

    Khaled and coworkers studied three kinds of corrosion inhibitors adsorption mechanism of

    META, PARA and ORTHO on nickel surface [8]. Zhang and coworkers investigated the

    adsorption mechanism of imidazoline inhibitor on the Fe surface [9]. Khaled studied the

    adsorption behavior and inhibition mechanism of benzimidazole derivatives on the Fe

    surface[10]. Formerly, our group studied the adsorption mechanism of dehydroabietylamine

    Schiff base derivatives on the carbon steel surface in sea water [11].

    It should be mentioned that corrosion always occurs when the corrosive medium is in

    contact with the metal in the process of oil production. Hopefully, inhibitor molecules could be

    adsorbed on the metal surface in order to separate water molecules and metal ions in solution to

    stop corrosion. When the metal surface is covered by water molecules in solution, the inhibitor

    molecules can be adsorbed on the metal surface, they need to expel water molecules on the

    metal surface and show stronger adsorption energy than water molecules. The inhibitor

    molecules not only obstruct water molecules on the metal surface, but also obstruct water

    molecules in aqueous solution. It is foreseeable that the adsorption process will be more

    difficult and longer in solution than in vacuum [12-14].

    Inhibitor adsorption performance is an important factor to evaluate performance of

    corrosion inhibitors. To be a qualified corrosion inhibitor, it not only has good adsorption

    performance, but also can form film which can stop the corrosion ions move to metal surface.

    Because that inhibitor molecules film can effectively prevent corrosion ions migrate to the

    metal surface, avoid corrosion ions contacting with the metal directly, the best corrosion effect

  • of inhibitors are contributed by the best adsorption performance and the strongest inhibition

    [15-18]. Therefore, corrosion inhibitors must have strong ability to inhibit corrosion ions

    diffusion in oilfield water [19].

    In this paper, molecular dynamics simulation method was adopted to investigate the

    absorption behavior, inhibition mechanisms on Fe(1 0 0) surface in aqueous solution and the

    diffusion behavior of H3O+, Cl

    - and H2O in three of 3, 5-dibromo salicylaldehyde Schiff base

    inhibitor films, including 3, 5-dibromo salicylaldehyde- 2- pyridinecarboxylic acid hydrazide

    (L1), 3,5-dibromo salicylaldehyde-2-thiol-phenecarboxylic acid hydrazide(L2), 3,5-dibromo

    salicylaldehyde-2- aminobenzothiazole (L3). Three key parameters, including interaction

    energy, radial distribution function curves and self-diffusion coefficient were selected to

    analyze the corrosion inhibition mechanism. The inhibitive properties of these three schiff's

    base inhibitors were investigated experimentally, using measurements based on weight loss,

    Tafel polarization, electrochemical impedance spectroscopy.

    2. Computational methods

    The diffusion behaviors of the three corrosive particles in the three corrosion inhibitor

    films was carried out using a commercial software package called Materials Studio 5.5

    developed by Accelrys Inc.

    2.1 Absorption energy calculation details

    2.1.1 Establishment of calculation model

    Most importantly, it needs to establish the calculation model. First, a Fe lattice structure

    was built and a Fe (1 0 0) surface was created and cut into 8 layers, a supercell which contains

    580 Fe atoms was built with size of 22.9322.9311.46. Second, a supercell which contains

    500 water molecules and a Schiff base molecule was created with size of 22.9322.9328.44.

    Third, create a supercell which contains 250 water molecules was created with size of

    22.9322.9314.22 . All atoms are fixed in the process of simulation layers, the entire model

    size is 22.9322.9361.84 (Fig. 1). Fig. 2 show the side view of the initial adsorption

    structure of three Schiff bases on Fe (1 0 0) surface in solution. The relatively dependent

    function curves were obtained by analyzing the dynamics simulation trajectory files.

    (Figure 1 and 2)

  • 2.1.2 Analysis of dynamic simulation

    The temperature, energy and time of simulation system are taken as criterions whether the

    system has reached equilibrium, because they will affect the results of calculation. Three kinds

    of Schiff base molecules are adsorbed on the Fe (1 0 0) surface in solution, the system reached

    equilibrium and are calculated by 500000 step as shown in Fig. 3, it can be seen that potential

    energy and nonbond energy have reached a equilibrium from the point of view of

    transformation energy for further calculation.

    (Figure 3)

    2.1.3 Calculation method

    The MD simulation of the interaction between corrosion inhibitors molecules L1, L2, L3

    on Fe (1 0 0) surface was carried out in a simulation system (Fig.1) with periodic boundary

    conditions, a representative part of the interface devoid of any arbitrary boundary effects. The

    iron substrate with Fe (1 0 0) plane was first optimized to minimum energy. The behavior of

    the inhibitor molecule on the Fe(1 0 0) surface was simulated using the COMPASS force field,

    which are compared with the experimental values by using molecular liquid density and

    cohesive energy to validate before its using, and to optimize the structures of all components

    of the system and represents a technology break-through in forcefield method.

    The MD simulation was performed under 298 K, NVT ensemble, with a time step of 1 fs,

    per 500 steps output a molecular structure and the total dynamics simulation time is 1000 ps.

    The interaction energy Einteraction between the iron surface and the inhibitor molecules was

    calculated as following [20]:

    Einteraction= Etotal -(Emolecule+E surface (1)

    Where Etotal is the total energy of the system containing Schiff base molecules, water

    molecules and metal surface; the Emolecule is free Schiff bases molecules energy, the Esurface is

    free Schiff base molecules, all water molecules and metal surfaces of energy, respectively.

    2.2 Diffusion model calculation details

    In order to study the synergistic effects between corrosion inhibitors molecules of L1, L2,

    L3 and corrosive particles at the molecular scale, the Amorphous Cell module and Diffusion

    module were used[21, 22]. A amorphous system which contain 300 inhibitor molecules, 30

    Cl- and 30 H3O

    + was established by using Amorphous Cell module Construction options with

  • size of 59.7759.77150.46 as shown in Fig.4.

    (Figure 4)

    Equilibrium of diffusion system of corrosion ions in the inhibitor molecule films was

    calculated by 2,000,000 steps. Form the view of energy, potential energy and nonbonding

    energies have been equilibrated. It can judge that the system had reached equilibrium. Trace

    files was got after the system equilibrium, mean square displacement (MSD) diagrams of

    corrosion ions are obtained by opening the Discover module Analysis in the Mean squared

    displacement option.

    2.3. Density functional theory details

    Density functional theory (DFT) can provide a very useful tool for understanding

    molecular properties and describing the behaviour of atoms in molecules. DFT methods have

    become very popular due to their accuracy from the computational point of view. Molecular

    geometry optimisation was performed at the DFT B3LYP level theory using 6-31G* basis set

    with Gaussian 03 program. This basis set provided accurate geometry and electronic

    properties for a wide range of organic compounds. Besides, molecular electrostatic potential

    (MEP) and frontier molecular orbitals were determined at B3LYP/6-31G* level of theory.

    3. Experimental procedures

    Experiments were carried out using mild steel specimens(0.09% P, 0.38% Si, 0.01% Al,

    0.05% Mn, 0.21% C, 0.05% S and remainder iron)(5.01.00.2 cm) as the electrode material.

    Steel sheets were mounted in Teflon with surface area of 4.01.0 cm2. The surface area of

    1.01.0 cm2 was abraded using emery papers and polished with Al2O3 (0.5 m particle size)

    carefully, cleaned in distilled water in an ultrasonic bath, and subsequently rinsed with dry

    ethanol and redistilled water for use. The same procedure was also used in case of gravimetric

    experiments. Three schiff's base inhibitors were synthesized according to the references

    procedure [23] (Scheme 1, 2 and 3). All the original compounds with analytical grade were

    obtained from Sigma-Aldrich Chemical Co. The simulative oilfield water was used as

    corrosion medium, which compositions are shown in Table 1 with simulated CO2 gas.

    (Scheme 1, 2 and 3)

    (Table 1)

    3.1 Weight loss measurements

  • Weight loss measurements were carried out in a double glass cell equipped with a

    thermostated cooling condenser. The solution volume was 100 mL. The duration of tests was

    7 days at 25 C. Duplicate experiments were performed in each case and the mean value of the

    weight loss is reported. Weight loss allowed calculation of the mean corrosion rate (g

    m-2

    h-1

    ) was evaluated using Eq. (2):

    =(w0wt)/(St) (2)

    where w0 and wt are the values (g) of weight loss of steel specimens after immersion in

    simulative oilfield water without and with inhibitor, respectively. S is the reaction area (m2) of

    steel sheet and t is the reaction time (h).

    The inhibition efficiency IE (%) was evaluated using Eq. (3):

    IE=[(0 t) /0]100% (3)

    where 0 and t are the values (g m-2

    h-1

    ) of corrosion rate of steel specimens after immersion

    in simulative oilfield water, without and with inhibitors, respectively.

    3.2 Electrochemical measurements

    A CHI860B electrochemical workstation (Chenhua Instruments, Beijing, China) was used

    to perform all electrochemical experiments at 25 C. The electrochemical cell was a classical

    three-electrode system with a mild steel specimen electrode as the working electrode, a

    saturated calomel electrode as the reference electrode, and a platinum electrode as the counter

    electrode. All potentials were referenced to the potential of the saturated calomel reference

    electrode (SCE).

    For test of Tafel polarization curves, the scanning range is -1.0 ~ 1.0 V with scan rate of

    0.001 Vs-1, the sensitivity is set automatically. In this case, the inhibition efficiency IE (%) was

    evaluated using Eq.(4):

    IE=(i0

    corricorr)/i0

    corr 100 % (4)

    where i0

    corr and icorr are the corrosion current density values without and with the addition of

    inhibitors in simulative oilfield water, respectively.

    For test of electrochemical impedance spectroscopy, measurements were carried out at the

    open circuit potential of -1.0 V vs. SCE at a modulation amplitute of 5 mV in the frequency

    range of 0.01 Hz to 100 kHz. In this case, the inhibition efficiency IE (%) was evaluated using

    Eq. (5):

  • IE = (RctR0

    ct )/Rct 100 % (5)

    where R0

    ct and Rct are the charge transfer resistance values without and with the addition of

    inhibitors in simulative oilfield water, respectively.

    4. Results and discussion

    4.1. Weight loss study

    The corrosion of mild steel specimens in simulative oilfield water, without and with

    various concentrations of three tested schiff's base inhibitors was studied by weight loss

    measurements. Values of corrosion rate and the inhibition efficiency obtained are given in

    Table 2. It can be seen in Table 2, the corrosion rate values of mild steel decrease when the

    inhibitor concentration increases. The inhibition efficiency increases with the concentration of

    L1, L2 and L3 reaching a maximum value (85.43, 89.76 and 83.71%) at 75 mgL-1, respectively.

    The results demonstrate that all studied schiff's base inhibitors exhibit inhibition properties.

    The inhibition efficiency of three tested inhibitors follows the order EI (L2)> EI (L1)> EI

    (L3).

    (Table 2)

    4.2. Tafel Polarization curves study

    Potentiodynamic polarization was used to investigate the corrosion inhibition effects of

    schiff's base inhibitors. Tafel polarization curves recorded for mild steel electrode in

    simulative oilfield water, without and with various concentrations of three tested schiff's base

    inhibitors are shown in Fig. 5. The associated corrosion parameters, such as corrosion potential

    (Ecorr) and corrosion current density (icorr) are listed in Table 3.

    (Table 3 and Fig.5)

    As shown in Fig.5, with the addition of various concentration inhibitors L1 and L2, the

    polarization plots display both cathodic and anodic region of Tafel behaviours, inhibitors L1

    and L2 should be regarded as mixed-type inhibitors. However, the polarization plots shift to

    anodic region is deeply than to cathodic region both for L1 and L2, from this view of point,

    they mainly belong to anodic inhibitors. The polarization plots only display cathodic region of

    Tafel behaviour with the addition of inhibitor L3, L3 can be described as cathodic inhibitor.

    All the shifts show that the addition of inhibitors to simulative oilfield water can reduces the

  • anodic dissolution of mild steel and the cathodic hydrogen evolution reaction and to protect

    mild steel.

    It is clear that the addition of inhibitors all cause sharply change of current densities in

    Table 3, to decrease them and demonstrate that corrosion of mild steel electrode are inhibited

    by the inhibitors in simulative oilfield water. For example, the addition of 25 mgL-1 inhibitors

    in simulative oilfield water can change the value of corrosion current (A cm-2) from 116.8 to

    37.08, 37.89 and 41.84, and show IE value as 68.25%, 67.56% and 64.18%, respectively.

    When the concentration of inhibitors increase at 75 mgL-1, the values of corrosion current are

    30.71, 30.50 and 36.43, and IE values are 86.90%, 90.09% and 85.14%, respectively.

    However, higher concentration of inhibitors does not change the value of corrosion current

    and IE obviously, so the concentration of 75 mgL-1 inhibitors was chose for following

    experiments. The above results demonstrate that all studied schiff's base inhibitors exhibit

    inhibition properties. The inhibition efficiency of three tested inhibitors follows the order of EI

    (L2)> EI (L1)> EI (L3).

    4.3. EIS study

    It is evident that the more efficient the inhibitor, the lower the corresponding corrosion

    rate and the higher the charge-transfer resistance, Rct. EIS technique was used to evaluate the

    efficiency of the three tested inhibitors against the simulative oilfield water corrosion of mild

    steel.

    The results of the EIS measurements were presented in Fig. 7 as Nyquist plots of mild

    steel in different Cl- concentrations of simulative oilfield water, with addition of three tested

    inhibitors at 75 mgL-1, respectively. The Nyquist plots are derived from Fig.6, where Rct is

    the charge-transfer resistance of electrode and Rs is the solution resistance. Table 4 shows the

    electrochemical parameters, together with the inhibition efficiencies IE(%), calculated from

    EIS measurements on mild steel electrode in various Cl- concentrations of simulative oilfield

    water without and with addition of 75 mgL-1 inhibitors at 25 C.

    (Table 4)

    (Fig.6 and 7)

    It can be seen that the Rct value of mild steel decrease when the concentration of Cl-1

    in

    simulative oilfield water, not only for the blank simulative oilfield water, but also for the

  • addition of inhibitors in simulative oilfield water, indicate the increase concentration of Cl-1

    will increase the corrosion of mild steel. For the same concentration of Cl-1

    , after the addition

    of inhibitors, the Rct value of mild steel has a big increase to show the inhibition of mild steel

    by the inhibitors. When the the concentration of Cl-1

    in simulative oilfield water is 55 mgL-1,

    the EI value of three inhibitors all more than 80%, even the concentration of Cl-1

    in simulative

    oilfield water up to 70 mgL-1, the EI value of three inhibitors all also more than 70% to show

    very good inhibition performance of three inhibitors. The results demonstrate that all studied

    schiff's base inhibitors exhibit inhibition properties and obtain the order of inhibition

    efficiency for three tested inhibitors as EI (L2)> EI (L1)> EI (L3) according to data of Table

    4.

    4.4 Adsorption energy of study

    In the initial of adsorbed configuration, the inhibitor molecules are oriented vertically

    attached on the metal surface as shown in Fig.2. After the simulation, the result shows that the

    existence of water molecules have a great influence on Schiff base inhibitor molecules,

    according to movement of surrounding water molecules, they occur a slight vibrations. This

    indicates that there is a interaction between water molecules and inhibitor molecules, which

    significantly slow down the speed of the inhibitor molecules. After a period of vibration, the

    inhibitor molecules are tilted gradually, slow the trend that water molecules move to the metal

    surface. When the inhibitor molecules continue move to the bottom of the solvent layer, they

    interact with water molecules, the inhibitor molecules continue tilt slowly until parallel to

    metal surface. They expel water molecules on the surface of the metal, and then are adsorbed

    parallelly. It can be seen that the three kinds of Schiff base inhibitors are almost parallel to the

    metal surface in Fig.8, which is the most stable form of adsorption, because that inhibitor

    molecules and the metal surface formed can form a high degree of coverage dense molecular

    film[24], which have inhibition effects.

    (Figure 8)

    The adsorption energies of three Schiff base were obtained as listed in Table 2, the

    adsorption energy of L1, L2 and L3 are 113.46, 141.43 and 80.47 kcal/mol, respectively, it

    follows the order of E(L2)> E(L1)> E(L3) and leads to inhibition efficiency order of EI (L2)>

    EI (L1)> EI (L3). Since inhibitor molecules can easily expel the water molecules which are

  • adsorbed on the metal surface[25-27], the adsorption energy of three kinds of Schiff bases are

    much larger than adsorption energy of water molecules (the adsorption energy of water

    molecules is 5.89 kcal/mol).

    (Table 5)

    Schiff base inhibitor molecules have many adsorption points, and that the adsorption

    energy of inhibitor molecules is larger than the adsorption energy of water molecules, can

    disperse the water molecules which are adsorbed on the metal surface. After reaching stable

    adsorption, it still exist interactions between inhibitor molecules and surrounding water

    molecules, which inevitably lead to the interactive force will become weaken between inhibitor

    molecules and the metal Fe surface [28-30].

    4.5 Radial distribution function curves study

    Fig.9 shows the radial distribution function curves of C, N, O, S of Schiff base molecules

    and Fe atoms. Generally, the peak within 3.5 indicates the formation of chemical bonds

    between atoms, the peak outside 3.5 shows interaction of Van der Waals force or Coulomb

    force[31, 32]. It is clear known that the three Schiff bases radial distribution curve of the peak

    value appear around the 3.5 or less, show that C, N, O, S of Schiff base molecules and Fe

    atoms can form chemical bonds, so chemical adsorption occur on the surface of Fe.

    (Figure 9)

    For L1, the highest peaks of the radial distribution function curve of C, N and O atoms

    appear at 3.27 , 3.44 and 3.20 , respectively, the interactive force of O, C and N atom on

    the Fe surface is following order of F(O)> F(C)> F(N). For L2, the highest peaks of the radial

    distribution function curve of C, N , O and S atoms appear at 3.46 , 3.17 , 3.18 and 3.42 ,

    respectively, the interactive force of O, C , N and S atom on the Fe surface is following order

    of F(N)> F(O)> F(S)> F(C). For L3, the highest peaks of the radial distribution function curve

    of C, N , O and S atoms appear at 3.11, 3.16 , 3.39 and 3.31 , respectively, the

    interactive force of C, N , O and S atoms on the Fe surface is following order of F(C)> F(N)>

    F(S)> F(O). Overall, the radial distribution function curve of C, N, O, S of three kinds of Schiff

    base molecules and the Fe surface show that the highest peak appeared within 3.5 , so

    chemical bonds were formed between C, N, O, S of three kinds of Schiff base molecules and Fe

    atoms, chemical adsorption had happened at Fe surfaces.

  • 4.6 Diffusion coefficients study

    During the simulation, the inhibitor molecules and corrosion ions (Cl-, H3O

    +) are moving.

    The movement of corrosion ions of Cl- and H3O

    + in the inhibitor molecular films, indicate that

    the size of the diffusion intensity in the inhibitor adsorption films, it can reflect the strength of

    inhibitor performance. The inhibitor films can inhibit diffusion of corrosion ions, so the

    corrosion ions in the inhibitor films movement are weaker and the position is fixed. The motion

    of corrosion ions position can be measured by mean square displacement (MSD).

    Mean square displacement [23] (MSD) can be expressed as:

    MSD={|Ri(t)-Ri(0)|2} (4)

    Where Ri(t) in t time for the position of the i ion, Ri(0) for the position of the i ion at the

    initial moment.

    (Figure 10)

    Diffusion coefficient can directly reflect the strength of the corrosion particle diffusion

    migration. The diffusion coefficient of corrosion medium Cl- and H3O

    + at three kinds of Schiff

    base inhibitor molecules adsorption films have been calculated, and with corrosive media Cl-

    and H3O+

    diffusion coefficient in the water molecules were compared and analyzed, more

    clearly reflect inhibitor performance of the Schiff base. According to Einstein relation can

    obtain the diffusion coefficient (D).

    1

    lim 0 26

    n

    it

    dD Ri t Ri

    dx (5)

    Obtained by equation 1-2

    1lim

    6 t

    dMSDD

    dx (6)

    Diffusion coefficients can be made of the following equation to solve:

    6

    mD (7)

    M for MSD curve slope

    (Table 6)

    Table 6 lists the diffusion coefficients of corrosive ions of Cl- and H3O

    + in three kinds of

    Schiff bases inhibitor molecules films and water. It can be seen from the table, diffusion

    coefficients in corrosive ions of Cl- and H3O

    + is much smaller than in the water, indicating that

    the inhibitors have very strong inhibition ability for corrosive ions of Cl-

    and H3O+, can

  • effectively control the diffusion migration of the corrosive ions of Cl- and H3O

    +, avoid metal

    surface contacting with corrosive ions of Cl- and H3O

    +, thus it can reduce corrosion, and show

    very good corrosion inhibition performance [33].

    The corrosive ions displacement curves is flat to show that the smaller move of corrosion

    ions in the inhibitor molecule adsorption films, the weaker of the diffusion ability is, the

    stronger the inhibition ability of the inhibitors and the better the inhibition effect will be; the

    larger the slope of corrosion ion mean square displacement (MSD) curve is , the greater move

    of the corrosion ions in the inhibitor molecule adsorption films; the stronger the diffusion

    ability, the weaker the control ability of the inhibitor will be. As can be seen in Table 3 and

    Fig.7, for the different inhibitor films, the diffusion coefficients followed the order of D (L3)>

    D (L1)> D (L2) for the Cl- corrosive particles, the diffusion coefficients followed the order of

    D (L3)> D (L1)> D (L2) for the H3O+ corrosive particles. For the three inhibitor films, the

    diffusion coefficients of the three corrosive particles all followed the order of D(H2O)>

    D(H3O+)>D(Cl

    -), three kinds of inhibitor films have corrosion inhibition efficiency in aqueous

    solution, which can be applied for corrosion protection in oil field.

    4.7 DFT study

    Mulliken charge is related to the electronic density and is a very useful descriptor in

    understanding sites for electrophilic attack and nucleophilic reactions as well as hydrogen

    bonding interactions [34].

    In order to predict reactive sites for electrophilic attack of inhibitors, Mulliken charge was

    calculated as shown in Fig. 11. As easily can be seen in Fig. 11, those molecules have two

    possible sites for electrophilic attack. The negative regions are mainly over the N and O atoms,

    which are the most susceptible sites for electrophilic attacks and could offer electrons to the

    mild steel surface to form a coordinate-type of bond.

    (Fig.11)

    It is well known that the reactivity of molecules depends entirely on the electronic

    distribution of their molecular orbitals. Frontier molecular orbitals are the controlling unit to

    investigate the molecular reactivity [35]. HOMO is associated with the electron donating

    capability of the molecule, whereas LUMO is related to its capability of accepting electrons.

    The frontier molecular orbital energies of three test inhibitors obtained from quantum

  • chemical calculations as shown in Table 7 and Fig.12. HOMO orbital of geometry optimized

    inhibitor molecules (L1, L2 and L3) have electron density over the ring of 3, 5-dibromo

    salicylaldehyde and C=N bond. L1, L2 and L3 can donate their electrons to vacant d-orbitals

    of acceptor Fe for the formation of co-ordinate type bonds as above discussion. The LUMO

    electron density locates on the ring of pyridine segment for L1, and on ring of benzimidazole

    for L3, indicating the preferred active sites for accepting electrons. For L2, LUMO electron

    density is not restricted in a particular region, and distributed on the entire molecule. It is

    therefore reasonable to assume that only quinoline ring of L1, L3 is responsible for accepting

    electrons, whereas all the parts of molecule L2 are susceptible in accepting electrons from

    d-orbitals of metal by back bonding.

    Quantum chemical parameters, such as EHOMO, ELUMO, the energy gap between HOMO

    and LUMO orbitals (E), dipolemoment (), electronegativity (), global hardness () and

    fraction of electron transferred (N) are tabulated. Generally, it is assumed that EHOMO is

    related to the capability of a molecule to donate electrons. Higher the EHOMO value, stronger

    will be the ability of the molecules to donate electrons. From Table 7, it can be concluded that

    EHOMO values of the three inhibitor molecules follow the order L2>L1>L3, which is in good

    agreement with the experimentally determined inhibition efciency. The energy of LUMO

    (ELUMO) represents the ability of molecules to accept electrons from the metal surface. The

    lower of the value of ELUMO, the greater ability of the molecule to accept electrons will be.

    The values of ELUMO follow the order L3>L1>L2. This results again support the relative

    inhibition efciency of three inhibitors following the order EI (L2)> EI (L1)> EI (L3).

    The energy gap (E) between HOMO and LUMO exhibits the reactivity of the

    molecules towards the metal surface [36]. The reactivity of the molecules increases as E

    decreases, because the energy need to remove an electron from the last occupied molecular

    orbital. Thus, the smaller the energy gap (E) is, the more it will be polarizable and the better

    of electrons transport performance. It is found L2 has the smallest energy gap (E) comparing

    with L1 and L3. Dipolemoment () of molecule is related to the polarity of the polar covalent

    bond. It is dened as the charge of product and the distance between the two concerned atoms.

    It can be seen that dipolemoment decreases in the trend similar with results of EHOMO, ELUMO

    and E. Therefore, results of theoretical studies support that L2 has the greatest potentiality to

  • get be adsorbed on the mild steel surface, when compare with L1 and L3.

    (Fig.12)

    (Table 7)

    5. Conclusion

    In this study, measurements include weight loss, Tafel polarization, electrochemical

    impedance spectroscopy were adopted to investigate inhibitive properties of three schiff's base

    inhibitors on mild steel. Three key parameters, including interaction energy, radial distribution

    function curves and self-diffusion coefficient accompanying with DFT study were selected to

    study adsorption behaviors and corrosion inhibition mechanism of three inhibitors on Fe (1 0 0)

    surface in aqueous solution and corrosive ions of Cl- and H3O

    +.

    (1) The three kinds of Schiff base inhibitors are almost parallel to the adsorption on the

    metal surface, which is the most stable form of adsorption, show that inhibitor molecules form

    a high coverage and compact structure molecular film on the metal surface, have inhibition

    effects. The order of adsorption energy is E(L2)> E(L1)> E(L3), and the order of adsorption

    abilities is L2> L1> L3.

    (2) The radial distribution function curves of the C, N, O, S atoms and Fe atom show that

    those peak values are less than 3.5 , indicate between the C, N, O, S atoms of the Schiff base

    inhibitor molecules structure with Fe atoms form a chemical bond, chemical adsorption occur

    on the surface of Fe.

    (3)The mean square displacement curves of corrosive media ions of H3O+, Cl

    - and H2O in

    three kinds of inhibitor adsorption film show that for the different inhibitor films, the diffusion

    coefficients followed the order of D (L3)> D (L1)> D (L2) for the Cl- corrosive particles, the

    diffusion coefficients followed the order of D (L3)> D (L1)> D (L2) for the H3O+ corrosive

    particles. For the three inhibitor films, the diffusion coefficients of the three corrosive

    particles followed the order of D(H2O)>D(H3O+)>D(Cl

    -). The results of DFT study confirm

    the inhibition efciency of three inhibitors following the order EI (L2)> EI (L1)> EI (L3).

    (4) Three kinds of inhibitor films can be applied for corrosion protection in oil field, due

    to their corrosion inhibition efficiency in aqueous solution.

    Acknowledgments

    This work was supported by the National Nature Science Foundation of China

  • (Nos.21266006, 61301038, 61271119) and the Nature Science Foundation of Guangxi

    Province (No.2012GXNSFAA053034).

    References

    [1] G. Bereket, E. Hur, C. Ogretir, J. Mol, Struct. Theochem. 578 (2002) 79-88.

    [2] J. Cruz, T. Pandiyan, E.G. Ochoa, J. Elector. Chem. 583 (2005) 8-16.

    [3] L.M.R.I. Valdez, A.M. Illafane, K.D.G. Mitn, J. Mol. Struct. Theochem. 713(2005) 65-70.

    [4] M. Lashkarl, R. Arshadim, Chem. Phys. 299 (2004) 131-137.

    [5] L.J. Feng, H.Y. Yang, F.H. Wang, Electrochim. Acta 58 (2011) 427-436.

    [6] S.Q. Hu, A.L. Guo, Y.F. Geng, Mater. Chem. Phys. 134 (2012) 54-60.

    [7] S.W. Xia, M. Qiu, L.M. Yu, F.G. Liu, H.Z. Zhao, Corros. Sci. 50 (2008) 2021-2029.

    [8] K.F. Khaleda, Electrochim. Acta 55 (2010) 5375-5379.

    [9] J. Zhang, G. M. Qiao, S. Q. Hu, Corros. Sci. 53 (2011) 147-152.

    [10] K.F. Khaled, Mater. Chem. Phys. 124 (2010) 760-767.

    [11] B.Y. Liu, Z. Liu, G.C. Han, Thin Solid Films 519 (2011) 7836-7844.

    [12] N.K. Das, K. Suzuki, Y. Takeda, K. Ogawa, T. Shoji, Corros. Sci. 50 (2008) 1701-1706.

    [13] K.F. Khaled , M.A. Amin, Corros. Sci. 51 (2009) 1964-1975.

    [14] Y.M. Tang, X.Y. Yang, W.Z. Yang, W.N. Rong, Y.Z. Chen, X.S. Yin, Corros. Sci. 52 (2010)

    1801-1809.

    [15] G. M. Qiao, Z. J. Ren, J. Zhang, S.Q. Hu, Y.G Yan, Y. Ti, Acta Phys. Chim. Sinica 26(2010)

    3041-3045.

    [16] F.W. Lu, Y. Kong, H.L. Lv, J.R.Yang, H.Y. Zhang, Z.X. Feng, Polym. Mater. Sci. Eng. 28 (2012)

    114-117.

    [17] A.Y. Musa, A.A.H. Kadhum, A.B. Mohamad, M.S. Takriff, Corros. Sci. 52 (2010) 3331-3340.

    [18] J. Zhang, W.Z. Yu, L.J. Yu, Y.G. Yan, G.M. Qiao, S.Q. Hu, Y. Ti, Corros. Sci. 53 (2011) 1331-1336.

    [19] Z. Xu, S.L. Yuan, H Yan, C.B. Liu, Colloids Surf. A Physicochem. Eng. Asp. 380 (2011) 135-142.

    [20] H. Wolff, H. Schilling, M. Lerch, R. Dronskowski, J. Solid State Chem. 179 (2006) 2265-2270.

    [21] S. Q. Hu, A.L. Guo, Y. F. Geng, X.L. Jia, S.Q. Sun, J. Zhang, Mater. Chem. Phys. 134 (2012) 54-60.

    [22] A.L. Guo, G. C. Duan, K. He, B. Sun, C.C. Fan, S.Q. Hu, Comput. Theor. Chem. 1015 (2013)

    21-26.

    [23] M. A. Hegazy, M. Abdallah, H. Ahmed, Corros. Sci. 52 (2010) 2897-2904.

  • [24] S. Ramachandran, B. L. Tsai, M. Blanco, Langmuir 12 (1996) 6419-6423.

    [25] Y.M. Tang, X.Y. Yang, W.Z. Yang, R. Wan, Y.Z. Chen, X.S. Yin, Corros. Sci. 52 (2010) 1801-1805.

    [26] K.F. Khaled, Corros. Sci. 52 (2010) 3225-3234.

    [27] A.Y. Musa, A.A.H. Kadhum, A.B. Mohamad, M.S. Takriff, Corros. Sci. 52 (2010) 3331-3340.

    [28] W.H. Wang, Z. Li, Q. Sun, A.J. Du, Y.L. Li, J. Wang, S.W. Bi, P. Li, Corros. Sci. 61(2012) 101-110.

    [29] A.Y. Musa, R.T.T. Jalgham, A.B. Mohamad, Corros. Sci. 56 (2012) 176-183.

    [30] J. Zhang, J.X. Liu, W.Z. Yu, Y.G. Yan, L. You, L.F. Liu, Corros. Sci. 52 (2010) 2059-2065.

    [31] W.Y. Shi, C. Ding, J.L. Yan, X.Y. Han, Z.M. Lv, W. Lei, M.Z. Xia, F.Y. Wang, Desalination 291

    (2012) 8-14.

    [32] J.P. Zeng, J.Y. Zhang, X.D. Gong, Comput. Theor. Chem. 963 (2011) 110-114.

    [33] S. Deng, X. H. Li, X. G. Xie, Corros. Sci. 80 (2014) 276-289.

    [34] S. Kr. Saha, P. Ghosha, A. Hens, N. C. Murmu, P. Banerjee, Phy. E 66 (2015) 332-341.

    [35] S.Kr. Saha, A. Hens, A.R. Chowdhury, A.Kr. Lohar, N.C. Murmu, P.Banerjee, Can. Chem.Trans. 2

    (2014) 489-503.

    [36] S.Q. Hu, A.L. Guo, Y.G. Yan, X.L. Jia, Y.F. Geng, W. Y. Guo, Comput. Theor. Chem. 964 (2011)

    176-181.

  • Figure Captions

    Fig. 1 The adsorption of three Schiff bases in solution

    Fig. 2 Side view of initial adsorption of three Schiff bases on Fe(1 0 0) surface in solution

    Fig. 3 Energy equilibrium curve of three Schiff bases are adsorbed on Fe(1 0 0) surface in

    solution

    Fig. 4 Inhibitor monolayer with corrosion particles

    Fig.5 Polarization curves of mild steel in simulative oilfield water with various concentrations

    of inhibitors

    Fig.6 Equivalent circuit used to fit experimental EIS data.

    Fig. 7 Nyquist plots of mild steel in different Cl- concentrations of simulative oilfield water

    with 75 mgL-1 inhibitors

    Fig. 8 Side view of the final adsorption of three Schiff bases on Fe(1 0 0) surface in solution

    Fig. 9 The pair correlation function of C, S, O and N atoms from three Schiff bases with Fe

    atoms from Fe(1 0 0) surface in solution

    Fig. 10 Mean square displacement curve of corrosion particles in inhibitor monolayers

    Fig. 11The Mulliken charge population of inhibitors L1, L2 and L3.

    Fig.12 The frontier molecule orbital density distributions of inhibitors L1, L2 and L3.

    Table 1 Compositions of simulative oilfield water

    Table 2 Corrosion rate and inhibition efficiency IE (%) values obtained from weight loss

    measurements for mild steel in simulative oilfield water without and with various

    concentrations of inhibitors at 25 C.

    Table 3 Electrochemical parameters, together with the inhibition efficiencies IE (%)

    calculated from polarization measurements on the steel electrode in simulative oilfield water

    without and with various concentrations of inhibitors at 25 C.

    Table 4 Electrochemical parameters, together with the inhibition efficiencies IE(%),

    calculated from EIS measurements on mild steel electrode in various Cl

    - concentrations of

    simulative oilfield water with addition of 75 mg/L inhibitors at 25 C.

    Table 5 The adsorption energy of three Schiff bases on Fe surface in solution

  • Table 6 The diffusion coefficient of Cl-, H3O

    + at 298K

    Table 7 Calculated quantum chemical parameters of the studied inhibitors.

  • Table 1

    Composition NaCl MgCl2 CaCl2 Na2S NaHCO3 Na2SO4

    Concentration(g L-1) 70.0 4.0 6.0 1.50 0.48 0.58

    Table 2

    Inhibitor concentration

    (mgL-1)

    corrosion rate

    (gm-2h-1) IE%

    Blank 0 3.351

    L1

    25 0.922 72.48

    50 0.542 83.83

    75 0.488 85.43

    100 0.492 85.31

    125 0.499 85.10

    L2

    25 0.936 72.07

    50 0.491 75.34

    75 0.343 89.76

    100 0.372 88.89

    125 0.369 88.99

    L3

    25 1.156 65.50

    50 0.718 78.57

    75 0.546 83.71

    100 0.576 82.81

    125 0.606 81.92

  • Table 3

    Inhibitor concentration(mgL-1) Ecorr(mV) Icorr(A cm-2

    ) IE(%)

    Blank 836.8 116.8

    L1

    25 770.7 37.08 68.25

    50 796.4 30.71 73.71

    75 798.9 15.30 86.90

    100 867.4 14.49 87.59

    125 794.6 14.36 87.71

    L2

    25 739.5 37.89 67.56

    50 735.2 30.50 73.89

    75 845.4 11.58 90.09

    100 775.4 11.66 90.02

    125 853.1 11.95 89.77

    L3

    25 860.6 41.84 64.18

    50 872.4 36.43 68.81

    75 885.2 17.35 85.14

    100 845.4 18.04 84.55

    125 855.2 18.39 84.26

  • Table 4

    Inhibitor concentration

    of Cl-(gL-1)

    Rs( .cm2)

    Rct( .cm2) CPE -T

    (Fcm-2

    )

    CPE -P

    (Fcm-2

    )

    IE (%)

    Blank

    55 2.560 123.0 0.0446 0.8543

    60 3.012 115.6 0.0538 0.7625

    65 2.513 67.26 0.0379 0.8187

    70 2.596 43.68 0.0391 0.8459

    L1

    55 2.410 778.8 0.0789 0.7573 84.21

    60 2.555 633.3 0.0405 0.8566 81.75

    65 2.047 317.9 0.0801 0.7041 78.84

    70 2.715 190.4 0.0722 0.6959 77.06

    L2

    55 2.337 855.7 0.0770 0.7463 85.62

    60 2.901 660.9 0.0546 0.7498 82.51

    65 2.187 333.2 0.0814 0.6384 79.81

    70 4.626 202.3 0.0580 0.6513 78. 40

    L3

    55 2.850 716.1 0.0575 0.7167 82.82

    60 2.563 548.0 0.0395 0.8519 78.90

    65 2.684 271.3 0.0787 0.6908 75.21

    70 2.425 170.9 0.0884 0.7658 74.44

  • Table 5

    Molecular L1 L2 L3 H2O

    Energy/(kcal/mol) 113.46 141.43 80.47 5.89

    Table 6

    Molecular D H3O+(10-9

    m2/s) D Cl- (10

    -9m

    2/s)

    H2O 0.8740 0.3490

    L1 0.0026 0.0024

    L2 0.0018 0.0015

    L3 0.0045 0.0037

    Table 7

    Inhibitor EHOMO

    (eV)

    ELUMO

    (eV)

    E

    (eV)

    (Debye)

    I=-E

    HOMO

    A=-E

    LUMO

    S N

    L1 -6.50846 -2.63909 3.86937 2.9527 6.50846 2.63909 4.5737 1.93468 0.5538 0.7324

    L2 -5.95294 -2.95924 2.9937 2.4674 5.95294 2.95924 4.4561 1.49685 0.6274 0.8345

    L3 -6.51171 -2.62789 3.88382 3.2854 6.51171 2.62789 4.5698 1.94191 0.5219 0.7125

  • Fig. 1

    L1 L2 L3

  • Fig. 2

    L1 L2 L3

  • Fig. 3

  • Fig. 4

  • Fig.5

  • Fig.6

    Fig. 7

  • Fig. 8

    L1 L2 L3

  • Fig. 9

  • Fig. 10

    Fig. 11

  • L1

    L2

    L3

    Fig.12

  • (a)HOMO (b)LUMO

    L1

    (a)HOMO (b)LUMO

    L2

    (a)HOMO (b)LUMO

    L3

  • Graphical abstract

    L1 L2 L3

    Fig.2

    L1 L2 L3

    Fig.8

    In the initial of adsorbed configuration, the inhibitor molecules are oriented vertically

    attached on the metal surface as shown in Fig.2. After the simulation, the result shows that the

    existence of water molecules have a great influence on Schiff base inhibitor molecules,

    according to movement of surrounding water molecules, they occur a slight vibrations. When

    the inhibitor molecules continue move to the bottom of the solvent layer, they interact with

    water molecules, the inhibitor molecules continue tilt slowly until parallel to metal surface

    (Fig.8).

  • Highlights

    1. The adsorption energy of three Schiff base inhibitors followed the order of E(L2)>

    E(L1)> E(L3).

    2. The study of radial distribution function curves show that C, N, O, S atoms of Schiff base

    and Fe atoms form a chemical bond, chemical adsorption occur on the surface of Fe.

    3. The diffusion coefficients of three inhibitor films followed the order of D (L3)> D (L1)>

    D (L2) for the Cl- corrosive particles, and followed the order of D (L3)> D (L1)> D

    (L2) for the H3O+ corrosive particles.

    4. For the three inhibitor films, the diffusion coefficients of the three corrosive particles

    all followed the order of D(H2O)>D(H3O+) > D(Cl

    -).

    5. The results of DFT study confirm the inhibition efciency of three inhibitors following

    the order EI (L2)> EI (L1)> EI (L3).