1 Introduction

Sulfamic acid (H2NSO3H, mono amido sulfuric acid) has long been used as an industrial cleaning agent due to its remarkable property of solubilizing hard scales and deposits. Furthermore, it can be used on mild steel with no problem of pitting or chloride-induced stress corrosion cracking (SCC). Sulfamic acid has the following properties:

  • The pure crystals are non-volatile, non-hygroscopic and odorless.

  • It is highly stable and can be kept for years without any change in properties.

  • It behaves as a strong acid in aqueous solutions but the corrosion rates are significantly lower in comparison to other acids.

  • The aqueous solution of sulfamic acid do not emit corrosive fumes, solubilizes hard scales and forms soluble compounds with most industrial deposits.

Because of these properties, acid cleaners based on sulfamic acid are extensively used in a large variety of household and industrial applications e.g., multistage flash evaporators (MSF) seawater desalination plants, heat exchangers and cooling water systems [1, 2].

Our previous investigations showed that amino acids containing sulfur are effective inhibitors for many corrosion systems [39]. In this study, five amino acids containing sulfur were tested as inhibitors for mild steel corrosion in 5% sulfamic acid solution at 40 °C. The compounds examined were cysteine (RSH), methionine (CH3SR), cystine (RSSR), N-acetylcysteine (ACC) and S-benzylcysteine (BzC). Linear polarization resistance (Rp), potentiodynamic polarization curves (Tafel plots) and electrochemical impedance spectroscopy (EIS) were employed.

2 Experimental

Electrochemical measurements were conducted in a conventional three-electrode thermostated cell assembly using an EG&G potentiostat/galvanostat (model 273) and a lock-in amplifier (model 5210), operated with Corr M352 and EIS M398 software. A platinum sheet with large surface area and standard calomel electrode (SCE) were used as counter and reference electrodes, respectively. To avoid contamination with Cl ion, the SCE was coupled to a Luggin capillary filled with the corrosive electrolyte. The tip of the Luggin capillary was located very close to the working electrode (∼1 mm distance). Polarization resistance measurements were conducted in the potential range (−15 mV ≤ Ecorr ≤ 15 mV) with a scan rate of 1 mV s−1. Ecorr represents the open circuit corrosion potential. Cathodic and anodic polarization curves were traced at a scan rate of 0.25 mV s−1 in the potential range −175 to 120 mV versus Ecorr.

The impedance spectra were collected at the open-circuit corrosion potential (Ecorr). A single sine wave of 5 mV amplitude was used in the frequency range 0.1 Hz–100 kHz with five points per decade. The results were mathematically modeled using EQUIVCRT by Boukamp [10]. Depending on the concentration of the additives, values of the steady state Ecorr, were attained in 10–15 min. To ensure the stability of Ecorr, the working electrode was maintained at its corrosion potential for 5 min in sulfamic acid solution.

Prior to each experiment the working electrode was wet polished with emery paper up to grade 600, rinsed with bi-distilled water, acetone, bi-distilled water and then transferred wet to the cell, already filled with 200 mL of 5% sulfamic acid solution. The latter was deaerated by purified nitrogen for 1 h prior to insertion of the working electrode; purging with nitrogen continued during the course of the experiments. The temperature of the electrolyte was 40 ± 0.2 °C.

The corrosive electrolyte was prepared by dissolving the appropriate amount of pure sulfamic acid (Merck) in bi-distilled water. S-containing amino acids (Merck or Aldrich) were used without further purification in the concentration range 10–1,000 μM by dissolving the amino acid in the sulfamic acid solution. All experiments were conducted in stirred solutions.

The structure of the investigated compounds is shown in Fig. 1:

Fig. 1
figure 1

Structure of the S-containing amino acids

3 Results and discussion

3.1 Effect of the inhibitor concentration

3.1.1 Open-circuit corrosion potentials (Ecorr )

Figure 2 shows the variation of Ecorr values (expressed as ΔEcorr, \( \Updelta {\text{E}}_{{{\text{corr}}}} = {\text{E}}_{{{\text{corr}}}} - {\text{E}}^{{{\text{inh}}}}_{{{\text{corr}}}} \) where Ecorr and \( {\text{E}}^{{{\text{inh}}}}_{{{\text{corr}}}} \) are the corrosion potentials in the absence and presence of amino acid) with the concentration of amino acid. All amino acids shift the corrosion potential in the positive direction even at the lowest concentration (10 μM). The positive shift of Ecorr is increased with increasing amino acid concentration reaching its maximum value at 1,000 μM. At 10 and 1,000 μM concentrations, the maximum displacement of Ecorr is obtained with ACC. The positive shift of Ecorr values indicates that amino acids are adsorbed on anodic sites and, consequently, affect mainly the anodic dissolution of iron (see below). The effect of the amino acids on the corrosion potential of mild steel in H2NSO3H is similar to their effects in and H2SO4 [4] and H3PO4 [6] solutions.

Fig. 2
figure 2

Variation of ΔEcorr of mild steel with the concentration of S-containing amino acids in 5% H2NSO3H solution at 40 °C

3.1.2 Rp measurements

Rp studies showed that addition of 10−1,000 μM RSH, CH3SR, RSSR, ACC and BzC greatly enhances the value of Rp obtained in the blank solution (Rp = 15.5 Ω cm2) indicating their inhibitive action. In the presence of RSH and ACC, Rp increases with increasing additive concentration up to 500 μM and then slightly decreases. The maximum values of Rp are 257.4 and 606 Ω cm2 for RSH and ACC, respectively. For CH3SR and BzC, values of Rp increase with increasing additive concentration reaching a maximum at 1,000 μM. These values amount to 115.2 and 188 Ω cm2 for CH3SR and BzC, respectively. In the case of RSSR, the maximum value of Rp is obtained at 100 μM (242.7 Ω cm2) and increasing concentration results in decreasing polarization resistance. The inhibition efficiency (IE%) was estimated from Rp values according to the equation:

$$ {\text{IE}}\% = {\left[ {{\left( {{\text{R}}^{1} _{{\text{p}}} - {\text{R}}^{0} _{{\text{p}}} } \right)}/{\text{R}}^{{\text{1}}} _{{\text{p}}}}\right]} \times 100$$
(1)

where \( {\text{R}}^{{\text{0}}}_{{\text{p}}} \), and \( {\text{R}}^{{\text{1}}}_{{\text{p}}} \) are the polarization resistance in the absence and presence of additive, respectively. Figure 3 shows the variation of IE% obtained from Rp with the concentration of RSH, CH3SR, RSSR, ACC and BzC. At the highest examined concentration the IE% of amino acids can be ranked as follows:

Fig. 3
figure 3

Variation of the inhibition efficiency calculated from Rp values with the concentration of S-containing amino acids

ACC (97.3%) > RSH (94.3%) > RSSR (92.7%) > BzC (91.7%) > CH3SR (86.5%).

3.1.3 EIS measurements

3.1.3.1 Nyquist plots

Figure 4 shows the impedance diagrams (presented as Nyquist plots) obtained for BzC as a representative example. According to Epelboin et al. [11], the impedance spectra for metal corrosion in acid solutions in the presence of inhibitors can be interpreted in terms of the charge transfer resistance (Rct). On the other hand, electrochemical theory shows that the reciprocal of Rct is directly proportional to the corrosion rate and is analogous to the polarization resistance (Rp) in the Stern–Geary equation.

Fig. 4
figure 4

Complex plane impedance of mild steel recorded in 5% H2NSO3H solution without and with different concentrations of BzC. Spectra recorded at Ecorr (40 °C)

For the uninhibited solution in Fig. 4, the Nyquist plot is composed of a capacitive loop covering most of the frequency range, followed by a small inductive loop below 1 Hz. The inductive loop is commonly associated with the relaxation process of adsorbed species at the metal/solution interface. The capacitive loop can be ascribed to charge transfer. In the presence of 10–1,000 μM BzC, only one semicircle is observed. The diameters of the semicircles increase (and hence the value of Rct) with increasing concentration of BzC indicating its inhibition effect. RSH, CH3SR, RSSR, ACC show the same behavior with the difference that:

  1. 1.

    In the presence of RSH and ACC, the diameter of the capacitive loop increases with increasing additive concentration up to 500 μM and then decreases.

  2. 2.

    For CH3SR and BzC, the diameter of the capacitive loop increases with increasing additive concentration reaching a maximum at 1,000 μM.

  3. 3.

    For RSSR, the maximum increase of the capacitive loop is obtained at 100 μM and increasing the concentration results in decreasing diameter.

In the presence of amino acids, depressed semicircles are noticed while the inductive loop shown in the spectrum recorded in the blank solution disappears. The depressed capacitive loops decrease with increasing inhibitor concentration. This type of diagram is usually interpreted as indicating a mechanism of charge transfer on a non-homogeneous surface [12].

3.1.3.2 Quantitative analysis of the impedance spectra

For the purpose of impedance spectra analysis, the experimental data were fitted using the Boukamp equivalent circuit program [10]. Regardless of the inductive loop that appeared in the pure solution, the experimental data were found to fit well the equivalent circuit Rs(RctQdl) proposed in previous studies on steel corrosion in acid media [7, 8, 1315]. This consists of a solution resistance Rs, a charge transfer resistance Rct and a constant phase element cpe, which is related to the capacity of the double layer Cdl. The cpe is composed of a component Qdl and a coefficient n. The coefficient n can characterize different surface phenomena such as surface heterogeneity resulting from surface roughness, impurities, inhibitor adsorption or porous layer formation [16, 17]. Values of the impedance parameters Rs, Rct, Qdl and n were calculated and are given in Table 1. The reliability of the proposed equivalent circuit is determined by the relative errors of the fitted parameters. Values of the relative error in the absence and presence of amino acids range from 0.5 to 8%, which indicate good correlation between experimental and fitted data.

Table 1 Rp and EIS parameters of mild steel in 5% sulfamic acid without and with BzC

From Table 1, it is clear that addition of BzC causes a significant increase in Rct in the additive-free solution and diminishes the value of Qdl. These findings indicate that BzC inhibits mild steel corrosion by adsorption. As the impedance spectra show one capacitive loop, adsorption of BzC occurs by simple surface coverage and BzC acts as a primary interface inhibitor [18]. Increasing the coefficient n with increase in BzC concentration reflects decreased heterogeneity of the mild steel surface as a result of adsorption of BzC. Similar impedance spectra were obtained in the presence of RSH, CH3SR, RSSR and ACC but differ in the following:

  1. 1.

    Values of Rct obtained in the presence of RSH and ACC increase with increasing additive concentration up to 500 μM and then decrease.

  2. 2.

    For CH3SR and BzC, values of Rct increase with increasing additive concentration reaching a maximum at 1,000 μM.

  3. 3.

    For RSSR the maximum increase in Rct is obtained at 100 μM after which it decreases.

3.1.3.3 Inhibition efficiency (IE%)

Values of Rct estimated from the above-mentioned equivalent circuit were used to calculate IE% according to the following equation:

Fig. 5
figure 5

Variation of the inhibition efficiency calculated from Rct values with the concentration of S-containing amino acids

$$ {\text{IE}}\% = {\left[ {{\left( {{\text{R}}^{1} _{{{\text{ct}}}} - {\text{R}}^{0} _{{{\text{ct}}}} } \right)}/{\text{R}}^{{\text{1}}} _{{{\text{ct}}}} } \right]}\,\, \times \,100 $$
(2)

where \( {\text{R}}^{{\text{0}}}_{{{\text{ct}}}} \), and \( {\text{R}}^{{\text{1}}}_{{{\text{ct}}}} \) are the charge transfer resistances in the absence and presence of additive respectively. Figure 5 shows the variation of IE% obtained from Rct with the concentration of RSH, CH3SR, RSSR, ACC and BzC. At the highest examined concentration, the IE% of amino acids can be ranked as follows:

ACC (95.3%) > RSH (93.9%) > RSSR (91.9%) ≅ BzC (91.7%) ≅ CH3SR (91.2%).

These results agree reasonably with those of Rp measurement and both techniques show that ACC is the best inhibitor among the amino acids studied.

3.1.4 Potentiodynamic polarization curves

Figure 6 shows the anodic and cathodic polarization curves obtained in the absence and presence of 10–1,000 μM RSH (representative curves). Addition of 10 μM RSH slightly shifts the cathodic curve of the blank to lower current densities indicating inhibition of the hydrogen evolution reaction. Further additions do not disturb the cathodic reaction. In the anodic domain, it is evident that the curve recorded in the pure medium is markedly shifted towards lower current densities indicating a strong inhibition effect of the anodic reaction (iron dissolution). The same behavior was observed in the presence of the remaining compounds, except CH3SR, where the shift of the anodic curves towards lower current densities is much less in comparison to the remaining amino acids.

Fig. 6
figure 6

Potentiodynamic polarization curves of mild steel recorded in 5% H2NSO3H solution without and with different concentrations of RSH at 40 °C

Kinetic corrosion parameters such as anodic (ba) and cathodic (−bc) Tafel slopes, as well as the corrosion current density (i corr) were estimated separately. Careful analysis of the corrosion parameters showed that values i corr could not be calculated from the intersection of the Tafel regions of the polarization curves (except in the case of the pure medium) at the corrosion potentials. Unusually they intersect at values more positive than those of Ecorr by ∼15 mV and thus erroneous values of i corr are obtained. Consequently, values of ba and −bc were calculated by linear fitting of the Tafel regions of the anodic and cathodic branches of each polarization curve and were used to calculate values of i corr according to the Stern–Geary equation [19]:

$$ i_{{{\text{corr}}}} = {\left\{ {{\left( {|{\text{b}}_{{\text{a}}} \times {\text{b}}_{{\text{c}}} |} \right)}/{\left[ {2.303\,{\text{R}}_{{\text{p}}} {\left( {|{\text{b}}_{{\text{a}}} + {\text{b}}_{{\text{c}}} |} \right)}} \right]}} \right\}} $$
(3)

Values of Rp are those obtained from linear polarization measurements.

Corrosion parameters obtained in the absence and presence of 10 and 1,000 μM RSH, CH3SR, RSSR, ACC and BzC are given in Table 2. In the pure solution, values of ba and bc amount to 56 and −166 mV decade−1, respectively. These values are close to those obtained for mild steel corrosion in mineral acids [7, 2022]. In the presence of 10 μM RSH, RSSR, ACC and BzC, values of ba and bc obtained in blank solution are significantly decreased and by increasing the inhibitor concentration, they again increase. For CH3SR, although an initial decrease in ba and bc is observed at 10 μM, further increase in additive concentration does not lead to any remarkable change. The marked decrease in values of anodic and cathodic Tafel slopes may be attributed to two effects:

  1. (i)

    An energy effect: Addition of inhibitor lowers the overpotential of both anodic and cathodic reactions due to inhibitor adsorption [23].

  2. (ii)

    Desorption effect: For the anodic reaction, in addition to the energy effect, the pronounced decrease in ba may be partly due to electrochemical desorption of the inhibitor from the steel surface during dissolution [24].

Table 2 Corrosion kinetic parameters of mild steel in 5% sulfamic acid in absence and presence of 10 and 1,000 μM amino acid concentrations

Table 2 reveals that all amino acids markedly decreased the value of i corr obtained in the inhibitor-free solution indicating their powerful inhibitive effect.

Values of i corr were used to calculate the inhibition efficiency using the following equation:

$$ {\text{IE}}\% = {\left[ {{\left( {i^{0} _{{{\text{corr}}}} - i^{1} _{{{\text{corr}}}} } \right)}/i^{{\text{0}}} _{{{\text{corr}}}} } \right]}\, \times \,100 $$
(4)

where \( i^{{\text{0}}}_{{{\text{corr}}}} \) and \( i^{{\text{1}}}_{{{\text{corr}}}} \) are the corrosion current density in the absence and presence of the additive respectively. Figures 7, 8 show the variation of IE% with the concentration of RSH, CH3SR, RSSR, ACC and BzC. At the highest examined concentration, the IE% of amino acids can be arranged as follow:

Fig. 7
figure 7

Variation of the inhibition efficiency (calculated from Stern–Geary equation) with the concentration of S-containing amino acids

Fig. 8
figure 8

Langmuir adsorption isotherms of RSH, CH3SR and RSSR on mild steel surface in 5% H2NSO3H solution at 40 °C

ACC (97.4%) > RSH (96.7%) > CH3SR (95.9%) > BzC (93.7%) > RSSR (90.7%).

The above order differs partly from those obtained from Rp and EIS. The difference may be attributed to the change in surface state during polarization, which plays an important role in the adsorption process.

3.2 Adsorption isotherms

In aqueous solution, the adsorption of an organic inhibitor at an electrode/electrolyte interface may be considered in terms of the displacement of adsorbed water molecules at the inner Helmholtz plane of the electrode, viz.

$$ {\text{Org}}_{{{\text{(aq)}}}} + x\,{\text{H}}_{{\text{2}}} {\text{O}}_{{{\text{(ads)}}}} \rightleftharpoons \,{\text{Org}}_{{{\text{(aq)}}}} + x\,{\text{H}}_{{\text{2}}} {\text{O}}_{{{\text{(ads)}}}} $$
(5)

Assuming that the steel electrode corrodes uniformly, the corrosion current density in the blank solution is representative of the total number of corroding sites. Also, the corrosion current density in the presence of the inhibitor is representative of the number of available corroding sites remaining after blockage of some sites due to inhibitor adsorption. The modeling of these assumptions enable a derivation for the fractional surface coverage (θ), viz.

$$ \theta \, = \,{\left( {i^{0} _{{{\text{corr}}}} - i^{1} _{{{\text{corr}}}} } \right)}{\text{/}}i^{{\text{0}}}_{{{\text{corr}}}} $$
(6)

Values of θ obtained by equation were subjected to several adsorption isotherms and it was found that RSH, CH3SR and RSSR fit the Langmuir adsorption isotherm, where θ and the inhibitor concentration C are related via the equation:

$$ \theta \, = \,{\text{KC/(1}} + {\text{KC)}} $$
(7)

Rearrangement gives

$$ {\text{C/}}\theta \, = \,(1/{\text{K}}) + {\text{C}} $$
(8)

where K is the adsorption constant.

Figure 8 shows the plot of C/θ against C for the three compounds. The linear fit of the data is also included. The strong correlation coefficient (R2 = 0.9998) confirms the validity of the isotherm. The slope of the fitted line is 1.04 which is in accord with the assumption in the derivation of the Langmuir isotherm that the active substrate sites accommodate only one molecule. The adsorption constant K is related to the standard free energy change of adsorption (\( \Updelta{\text{G}}^{\circ}_{\text{ads}}\)) by the equation [5]:

$$ {\text{K}} = {\left( {{\text{1/55}}{\text{.5}}} \right)}\,{\text{exp}}{\left( {-\Updelta {\text{G}}^{ \circ }_{{{\text{ads}}}} {\text{/RT}}} \right)} $$
(9)

On the other hand, values of θ calculated for ACC and BzC were found to fit the Temkin adsorption isotherm (Fig. 9) where θ varies linearly with log C (C is the molar concentration of the inhibitor in the bulk of solution) indicating monolayer adsorption. Figure 9 shows that adsorption of both ACC and BzC follows the Temkin isotherm up to 500 μM after which a saturation limit is observed. The different adsorption behavior exerted by the amino acids may be ascribed to the difference in their molecular structures.

Fig. 9
figure 9

Temkin adsorption isotherms of ACC and BzC on mild steel surface in 5% H2NSO3H solution at 40 °C

The adsorption parameters K and \( \Updelta{\text{G}}^{\circ}_{\text{ads}}\) were calculated and are given in Table 3. These values follow the order: ACC ≫ BzC ≫ RSH > RSSR > CH3SR. The high values of K indicate electrical interaction between the double layer at the phase boundary and the adsorbing inhibitor molecules. The large negative values of \( \Updelta{\text{G}}^{\circ}_{\text{ads}}\) indicate that the adsorption reaction proceeds spontaneously and is accompanied by highly efficient adsorption.

Table 3 Adsorption parameters of S-containing amino acids on mild steel surface in 5% sulfamic acid solution at 40 °C (as calculated from Stearn–Geary equation)

Values of f were found to be 156 and 28 for ACC and BzC. It was reported [25] that the interaction factor may have two values: a positive value (f > 0) indicates lateral attractive interaction between adsorbed molecules and a negative value (f < 0) reflects the presence of lateral repulsive interaction between the adsorbed molecules. Thus there is a strong attractive lateral interaction between the adsorbed ACC or BzC molecules on the steel surface. The lateral attractive interaction between ACC molecules is stronger than that between BzC molecules.

The highest values of K, \(- \Updelta{\text{G}}^{\circ}_{\text{ads}}\) and f obtained for ACC suggests that ACC is the most efficient inhibitor among the investigated amino acids.

Equation 5 signifies that the adsorption of an inhibitor on the electrode surface is a substitutional process in which the adsorbing inhibitor molecule replaces a number, x, of water molecules from the surface. Thus, trials were carried out to estimate x by fitting values of θ to isotherms that take x into consideration. These isotherms include the Bockris–Swinkel (BS) [26], Flory–Huggins (FH) [27] and multisites Langmuir (MSL) [28] isotherms. The parameter n in the MSL model is equal to the parameter x in the FH model. It was found that the FH isotherm satisfactorily fits the experimental data obtained for RSH, CH3SR, ACC and BzC.

The Flory–Huggins adsorption isotherm is given by the equation

$$ \theta \,/\,{\left[ {x{\text{(1}} - \theta {\text{)}}^{x} } \right]} = {\text{KC}} $$
(10)

Rearrangement gives

$$ {\text{log}}\,{\text{(}}\theta \,/{\text{C}}) = \,\log \,{\text{m}}\, + \,x\,{\text{log}}\,{\text{(1}} - \theta {\text{)}} $$
(11)

where log m = log K + log x. The plot of log (θ/C) versus log (1 − θ) should give a straight line from which values of both x and K may be estimated. Figure 10 shows the FH isotherms obtained for RSH, CH3SR, ACC and BzC while the associated adsorption parameters are listed in Table 3. None of the above-mentioned isotherms is applicable to the data of RSSR since no straight line was obtained. Data interpretation according to the FH model suggests that one ACC molecule replaces 7 water molecules from the steel surface while a molecule of CH3SR replaces only three water molecules. Again the highest values of K and \( \Updelta{\text{G}}^{\circ}_{\text{ads}}\) are obtained in the presence of ACC and provide further evidence that ACC is the best inhibitor among the studied S-containing amino acids.

Fig. 10
figure 10

Flory–Huggins isotherms of S-containing amino acids on mild steel surface in 5% H2NSO3H solution at 40 °C

3.3 Potential of zero charge (pzc) of mild steel in sulfamic acid solution

It is well established that the inhibition efficiency of chemically stable surface-active compounds is related primarily to their ability to adsorb on the metal-solution interface. For a given solution the adsorbability of inhibitors will depend first of all on the charge of the metal or, more precisely, on the potential of the metal on the correlative scale (φ c-scale). The value of φ c is given by the equation [29]:

$$ \varphi _{{\text{c}}}\,=\,{\text{E}}_{{{\text{corr}}}} - {\text{E}}_{{{\text{q}} = {\text{0}}}} $$
(12)

Eq=0 is known as the potential of zero charge (pzc)

The value of pzc of mild steel in sulfamic acid was determined using EIS. Impedance spectra at different polarization potentials were recorded in the absence and presence of 10 μM RSSR. Nyquist plots have the same shape as those presented in Fig. 4. The capacitive loop in the high frequency region usually originates from the relaxation of the double-layer capacitance under the following conditions:

  1. (i)

    There are no rapid pseudo-capacitive processes, which can be coupled with the double layer relaxation [30].

  2. (ii)

    There is no specific adsorption of anions.

The two conditions can be met in sulfamic acid solution. Thus, EIS offers a good method to determine the pzc of mild steel in H2NSO3H solution. We have measured a series of impedance spectra in a relatively wide potential range between −675 and −350 mV versus SCE. These were analyzed using the EQUIVCRT program [10] and the plots of Cdl/E are shown in Fig. 11 (representative curves). The minima of these curves in the absence and presence of 10 μM RSSR is considered as the pzc. As can be seen from the values of pzc marked in Fig. 11, these values lie at potentials more negative than the corresponding values of Ecorr. So, values of φ c of mild steel in the absence and presence of RSSR are positive and hence the steel surface is positively charged. Accordingly, the protonated amino acids could not be adsorbed on steel at the free-corrosion potential.

Fig. 11
figure 11

Relation between double layer capacitance Cdl with the applied potential on mild steel electrode immersed in 5% H2NSO3H solution without and with 10 μM RSSR

4 Mechanism of corrosion inhibition by S-containing amino acids

As previously mentioned the adsorption of S-containing amino acids on the positively charged steel surface cannot take place through the positively charged nitrogen atom (amino acids undergo protonation through the –NH2 group in acid solution). Therefore, it is assumed that, at least in the first few minutes of contact between the substrate and the solution, they exist as cationic species at the interface [7]. At Ecorr it is suggested that sulfamate ions (\( {\text{H}}_{{\text{2}}} {\text{NSO}}^{ - }_{{\text{3}}} \)) are preferentially adsorbed and then coulombic interaction between sulfamate ion and protonated amino acid takes place (physical adsorption). Such adsorption will be increased owing to the presence of several adsorption centers (at least three centers, namely N, S and O atoms in each amino acid). In this case, beside the physical adsorption, chemisorption via N, S and O atoms occurs on the anodic sites. This may explain the high inhibition efficiency of amino acids as impedance spectra show (Fig. 4).

Under cathodic polarization conditions adsorption of the cationic species on the negatively charged surface occurs via electrostatic attraction. The resulting physical adsorption is not so strong as to impart high inhibition efficiency. This may explain the slight shift of the cathodic branches of the polarization curves towards low values of current density (Fig. 6).

Under anodic polarization conditions, the high inhibition efficiency of these compounds may be ascribed to their adsorption on the anodic sites of the surface via the sulfur atom. According to Trabanelli [31], the sulfur atom is less polarizable and has better donation for the lone pair of electrons than the nitrogen atom. So, the most probable adsorption center is the S atom. Donation of a pair of unshared electrons to an unoccupied d-orbital of the Fe atom results in the formation of a chemisorbed bond. Since the investigated compounds are electron donors and the Fe atoms on the surface are electron acceptors, they are equivalent to Lewis bases and acids, respectively, and the inhibition effects of the compounds are expected to be related to the hard and soft acids and bases (HSAB) principle [32]. Adsorption of the S-containing amino acids on the surface anodic sites is supported by the large positive shift of Ecorr and the marked displacement of the anodic polarization curves towards low current densities.

S-containing amino acids are adsorbed perpendicularly through the S atom and this leaves the rest of the molecule to be interacted by Van der Wall forces, forming a hood covering the adsorption center. This mode of adsorption hinders diffusion of hydrogen ions from the bulk solution to the metal surface and hence inhibits steel dissolution.

At 1,000 μM concentration, the average of the inhibition efficiency as calculated from the three techniques leads to the following order:

ACC (96.7%) > RSH (95.0%) > BzC (92.4%) > RSSR (91.8%) ≅ CH3SR (91.2%).

The highest inhibition efficiency obtained in the presence of ACC suggests that the chemisorbed ACC molecules probably form a chelate compound with the surface iron atoms by coordinate bond formation with both the –SH group and the oxygen atom of the acetyl group. Although the –CH3 group has two electronic effects [33]: an inductive effect (+I) by which the electron density of the carbonyl group is increased, and a steric effect (a sheer physical blockage); it seems that the former effect is more effective than the latter. Therefore, complexation of ACC with the surface is much higher than that obtained by the parent compound RSH.

For BzC, the replacement of the –SH group by the benzyl group is expected to increase the efficiency of BzC by sharing the π-electrons of the phenyl group in the adsorption process. The lower inhibition efficiency of BzC compared to RSH may be ascribed to the rigidity of the benzyl group and the increased molecular size. Therefore, repulsion between the adsorbed BzC molecules within the adsorbed layer takes place and leads to a decrease in the inhibition efficiency.

The presence of two adsorption centers (two sulfur atoms) in RSSR is expected to impart higher inhibition efficiency than RSH. The lower IE% of RSSR than RSH and the decrease in inhibition efficiency at high concentration may be ascribed to increased coulombic repulsion experienced by the inhibitor molecules during adsorption. For large inhibitor molecules, molecular crowding or steric effects have a negative effect on inhibition efficiency.

Although CH3SR has an electron-donor group (–CH3) attached to the adsorption center (S atom), the steric hindrance exerted by this group affects the stability and the performance of the adsorbed layer at the metal/solution interface and consequently, CH3SR provides the lowest inhibition.

The mutual adsorption of amino acid and sulfamate ion on the steel surface may explain the better performance of S-containing amino acids in H2NSO3H than in H2SO4 [4, 8] and H3PO4 [6, 7].

5 Conclusions

  1. (1)

    Inhibition of mild steel corrosion in sulfamic acid at 40 °C by S-containing amino acids was established from Rp, polarization curves and EIS measurements. The three techniques revealed that ACC is the most effective compound while CH3SR gives the lowest inhibition.

  2. (2)

    EIS showed that charge transfer is the rate-determining step of the corrosion of mild steel in the absence and presence of inhibitors. Impedance spectra can be satisfactorily simulated by a simple interface model having only one time constant, that is, Rs(RctQdl).

  3. (3)

    Polarization curves indicate that S-containing amino acids act essentially as anodic inhibitors in sulfamic acid, retarding the anodic dissolution of steel by blockage of active sites.

  4. (4)

    Adsorption of RSH, CH3SR and RSSR on steel obeys the Langmuir isotherm while the Temkin isotherm describes the adsorption of ACC and BzC. From application of the Flory–Huggins isotherm, a molecule of ACC replaces 7 water molecules (the highest number) while water molecules (the lowest number) are replaced by one molecule of CH3SR. Negative values of the standard free energy change for the adsorption process indicate chemisorption of the S-containing amino acids via the S-atom. The values of \( \Updelta{\text{G}}^{\circ}_{\text{ads}}\) ranged between −194.3 kJ mol−1 (for ACC) and −40.38 kJ mol−1 (for CH3SR).

  5. (5)

    The pzc values in the absence and presence of inhibitors and their comparison with the corresponding values of Ecorr reveal that the steel surface is positively charged under open circuit conditions.