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Original Article
ARTICLE IN PRESS
doi:
10.25259/AJC_1013_2025

Expired dopamine as an ecofriendly corrosion inhibitor for 316L stainless steel in 0.5 M HCl: Experimental and theoretical studies

Chemistry department, Ibn Zohr University, Science Faculty, Agadir Morocco
Department of Physics, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
Departement of Pharmaceutical Chemistry, College of Pharmacy, Prince Sattam bin Abdulaziz University, Al-kharj, Saudi Arabia
Department of Chemistry, Faculty of Natural and Mathematics Science, University of Prishtina, Prishtina, Kosovo
Department of Chemistry, College of Science and humanities in Al-Kharaj, Prince Sattam bin Abdulaziz Univesity, Al-Kharaj, Saudi Arabia
Refining and Petrochemical Technologies Institute, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia
Laboratory of Biotechnology, Agri-food, Materials, and Environment (LBAME). Faculty of Sciences and Techniques of Mohammedia (FSTM). Hassan II University of Casablanca

* Corresponding author: E-mail address: m.geesi@psau.edu.sa (M. Geesi)

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Abstract

In the present paper, a novel approach has been made to valorise the redundant medicinal drug, dopamine (DA), to operate as a corrosion inhibitor for 316L stainless steel in 0.5 M HCl. Electrochemical analysis by electrochemical impedance spectroscopy (EIS) and potentiodynamic polarization (PDP) indicates that very high and effective inhibition by phenolic compound insertions is reported: at 10-3, Rct (charge transfer resistance) increases, Cdl (double layer capacitance) decreases by serious mode, and τ increases, yielding optimum efficiencies IE(EIS)=94.6% and inhibition efficiency percentage (IEPDP)≈92.6%. The adsorption obeys’ Langmuir model, having ΔGads≈− 40 kJ·mol−1, suggesting that a mixture of physisorption/chemisorption. Scanning electron microscopy (SEM)/X-ray photoelectron spectroscopy (XPS) analysis proves the mechanism of the formation of a protecting organic film strongly attached to the passive layer (Ni(OH)2, Fe2O3, Cr(III), MoO2 and the influence of nitrogen from DA (N 1s). Density functional theory (DFT)/conductor-like screening model (COSMO) calculations present that highest occupied molecular orbitals (HOMOs)/lowest unoccupied molecular orbitals (LUMOs) are localized on O and N, and there are extraordinary negatively Mulliken charges on O/N, indicating that they are adsorption centers. The density-functional tight-binding (DFTB+++) charge density difference maps were flexed to an essentially planar conformation, and display π–d donor-acceptor interactions with π–dd hybridization. Lastly, the Monte Carlo/molecular dynamics (MC/MD) simulations provide highly negative adsorption energies (≈−125 to −147 kcal•mol−1) and radial distribution function (RDF) peaks < 3.5 Å for O/N–Fe, indicating chemisorption. All in all, it shows that DA out of date is a green, highly effective and inexpensive inhibitor, paving the way for valorization of pharmaceutical waste.

Keywords

Dopamine
Electrochemical impedance spectroscopy
Highest occupied molecular orbitals/Lowest unoccupied molecular orbital
Monte carlo/Molecular dynamics
Potentiodynamic polarization

1. Introduction

Corrosion is a natural process that is often times so insidious, it is not even noticed until metals and other materials succumb to the degradative process of exposure to unfavorable environments. Thus, prevention still remains the best strategy to decrease its effects. A number of solutions are available, which include the careful selection of materials, the deposition of a coating, and the incorporation of inorganic or organic inhibitors into the fluid itself [1]. The use of eco-friendly inhibitors has thus become an effective and convenient tool in the preservation of metals [2]. The use of inorganic corrosion inhibitors as chromates, has been most frequently found in the past, yet such compounds are toxic and are generally subject to legal regulations. On the contrary, unsaturated and/or containing heteroatoms (O, N, S, P) organic molecules are and remain the active species for the most efficient inhibitors introduced into the petroleum industry since the 1950s: Multiple π electrons and a non-bonding pair promote adsorption on the metal and subsequently the formation of a hydrophobic barrier [3]. However, many “classical” organic inhibitors exhibit low aqueous solubility (often necessitating organic solvents) and poor biodegradability. From the viewpoint of green chemistry and cost limitation, the consideration of unconventional sources, particularly drugs, has emerged: some of the active compounds (heterofunctional groups/atoms, π bonds) not only possess a solubility and biodegradability which is better than that of the conventional inhibitors but also have shown significant inhibition on mild/carbon steels in acidic media (such as Cefotaxime sodium, Linagliptin [4], Metamizole sodium [5], Penicillamine [6]) due to similarities in structure with the traditional inhibitors. However, new drugs cannot be used directly despite their good result (priority to use, cost). In another approach, expired drugs as inhibitors have become more and more attractive, allowing for valorization of pharmaceutical wastes, which would present an environmental and economic interest.

Against this background, dopamine (DA) (3,4-dihydroxyphenylethylamine) is found to be an interesting candidate: the presence of a benzene ring and O/N heteroatoms facilitates adsorption on the metal. While there are no reports on the expired increased protective effects of DA to the best of our knowledge, various chemically modified derivatives have shown anticorrosive activity for acidic medium environment: self-polymerized polydopamine nanoparticles [4], Dopamine-poly(ethylene glycol) (DA–PEG) diacrylate (1 M HCl, Q235 steel preservation increased protection) [7], DA–N-hydroxymethyl acrylamide (IE ≈ 91.5% for carbon steel in 1 M HCl) [8], and DA-functionalized graphene oxide (IE > 85% in acidic medium) [9].

The goal of this work is to inquire, for the first time, into the effectiveness of expired DA as a corrosion inhibitor for American Iron and Steel Institute (AISI) 316 stainless steel in 0.5 M HCl. The inhibitive behavior is investigated using electrochemical impedance spectroscopy (EIS) and potentiodynamic polarization (PDP), whereas the morphology and surface analysis are ascribed with scanning electron microscopy (SEM) and X-ray photoelectron spectroscopy (XPS). In addition, theoretical methods (Monte Carlo and density functional theory (DFT)) were used to explain the adsorption mechanism of DA on steel and to correlate electronic descriptors to the experimentally observed anticorrosion behavior. Therefore, the objective of this study is to suggest a method for recycling expired drugs as green inhibitors which will be both efficient and low in cost and are environmentally friendly to the expired materials.

2. Materials and Methods

2.1. Materials

AISI 316SS sheets were processed. The above-mentioned chemical composition (wt %) is Cr 17, Ni 12, Mo 2.05, Mn 1.5, Si 0.60, N 0.18 and C 0.08, P 0.03 and balance Fe. 1 × 1 × 0.1 cm3 samples were cut from the sheet, and polished to 180/320/1200 grit sand paper. The surfaces were then sonicated in acetone to be ungreased and were oven-dried.

The inhibitor investigated is a commercial DA (C₈H₁₁NO₂, Mw = 153.18 g•mol⁻1, Sigma-Aldrich), which is outdated. The acidic solution used was 0.5 mol•L⁻1 HCl at inhibitor-free (blank) and at different concentrations of DA (from 10⁻⁶ to 10⁻3 mol•L⁻1).

2.2. Surface analyses (SEM, XPS)

  • The 316SS (with/without DA) were soaked in 0.5 M HCl over 48 h, and then taken out and vacuum-dried for 60 min.

  • XPS: Thermo Scientific K-Alpha spectrometer, Thermo Fisher Scientific, UK, with Al Kα source (1486.6 eV) and excited with the anode operated at 12 kV and 7 mA; survey and high-resolution spectra (N 1s, Ni 2p, Fe 2p, Cr 2p, O 1s, C 1s, Mo 3d).

  • SEM: a ZEISS EVO18 microscope set at 20 kV for comparison of the surface morphology after immersion in the absence and presence of DA (up to 10⁻3 M).

2.3. Electrochemical measurements (EIS, PDP)

Measurements were performed in a three-electrode glass cell (200 mL, suspended and agitated solution), the working electrode being 316SS, (saturated calomel electrode (SCE), 0.245 V vs NHE at 292 K) the reference (as near as possible from the working electrode and separated by a KCl–agar bridge) and platinum (≈ 1 cm2) the counter electrode. The cell was run with a Radiometer-Analytical Voltalab PGZ 301 potentiostat.).

  • PDP: sweep between −1000 to +1000 mV vs SCE at 1 mV•s⁻1. Tafel curves were analyzed (EC-Lab) to determine Ecorr, jcorr, βα, and βc.

The percentage of the inhibition efficiency was determined from equation 1:

(1)
IE PP (%)= j corr 0 j corr j corr 0 ×100

Where j cor 0 and jcorr are the corrosion current densities in the absence and presence of DA. The surface coverage was determined from equation 2:

(2)
θ= IE PP (%) 100

Each condition was repeated (n = 3).

EIS: 10 mV (peak-to-peak) perturbation at the open circuit potential (OCP), 100 kHz> f >0.01 Hz. The Nyquist/Bode spectra have been fitted (EC-Lab) with the circuit Rs–constant phase element-charge transfer resistance (CPE–Rct). The impedance of the CPE is determined from Equation 3:

(3)
ZCPE = 1 Q (jω)n

The IEEIS has been determined via Equation 4:

(4)
IE EIS (%)= Rct Rct 0 Rct ×100

Where Rct and R ct 0 are the charge transfer resistance in the presence and absence of inhibitor; these techniques enable the characterization of interfacial processes (charge transfer, adsorption, and protective film) [1-3].

2.4. Theoretical studies and simulations

2.4.1. Frontier orbital (DFT/DMol3, COSMO) calculation

The frontier orbitals (highest occupied molecular orbital (HOMO)/lowest unoccupied molecular orbital (LUMO)) eigenvalues, a key parameter to understand the importance of frontier molecular orbital (FMOs) in adsorption were also computed with the DMol3 (Materials Studio) code [7,8]. Geometry were pre-optimized: (Quench procedure, COMPASS III) [8] and then re-optimized by DFT with M11-L functional [10], for an improved geometric accuracy and electronic interactions/correlations description, using triple numerical basis with polarization triple numerical basis with polarization (TNP) [11]. The influence of the water solvent was then incorporated using conductor-like screening model (COSMO), a method for simulating the electrostatic influence of the medium, which supplies sigma profiles [7,12-14]. This provides a link between reactivity and a propensity to adsorb.

2.4.2. DFTB ++ (charge re-distribution and plane anchoring)

The Fe(110) surface was described with a 4 layer slab 3×3 supercell with a 25 Å thick vacuum to prevent the periodic interaction. The best face was chosen (Morphology module, Materials Studio). The DFTB++ calculations (Materials Studio) employed Slater–Koster trans3d parameters for Fe–C/N/O/H, the geometries were relaxed within the framework of the reference geometries [15,16]. The charge density difference maps Δρ\Delta\rho of the adsorbed state (isosurfaces ±0.002 e•Å⁻3) were employed to visualize the donor–acceptor interactions and the π\pi–dd hybridization at the interface.

2.4.3. Monte Carlo (MC) and molecular dynamics (MD) simulations

Interaction with the inhibitor/surface, its adsorption energies MC (Adsorption Locator module, Materials Studio [17-21]) were used to analyze the interaction between the inhibitor/surface and to identify the most stable adsorption sites/configurations. The simulated cell had a size of 24.823 × 24.823 × 18.241 Å3 with 35 Å vacuum on top of Fe(110); an explicit aqueous environment was gradually introduced (≈ 850 HO, 10 HO⁺, 10 Cl⁻). The adsorption was mainly analyzed on the uppermost atomic layer (the most reactive one) of Fe(110). The adsorption energy was obtained from Equation 5:

(5)
E ads =EFe(110) inhibiteur EFe(110) +E inhibiteur

The configurations with the lowest energy obtained from MC were used as the initial state for MD was prepared (Forcite, COMPASS II/III), at 295 K, (NVT ensemble), with a 1.0 fs time step and 800 ps time duration, with all Fe(110) layers except for the top two being held fixed [22,23]. The radial distribution function (RDFs) O–Fe and N–Fe were determined from the trajectories to differentiate between chemisorption (peaks 1.0–3.5 Å) and (> 3.5 Å) [17,19,22].

This MC/MD coupling offers an energetic and structural view of adsorption complementary to DFT/DFTB++ descriptors and enables us to rationalize the observed inhibition mechanism experimentally reported [15-28].

3. Result and Discussion

3.1. Electrochemical analysis

3.1.1. Electrochemical impedance spectroscopy (EIS) and PDP of dopamine inhibition

To illustrate the inhibitory action of DA on the corrosion of 316L stainless steel in acidic medium, an electrochemical investigation using EIS and PDP was carried out. These two techniques are complementary for the investigation of interfacial processes, including charge transfer, adsorption of inhibiting molecules, and the formation of protective layers. Therefore, the variation of the electrochemical parameters with increasing DA concentrations will afford important insights into the adsorption mechanism and the efficiency of this inhibitor. The impact of DA on the electrochemical of 316L steel is reflected through the (a) Nyquist plots, (b) Bode plots, and (c) Equivalent circuit fitted, presented for this case in Figure 1, and Table 1 represents the electrochemical parameters (derived from EIS analysis) of the 316L stainless steel in 0.5 M HCl in the presence and absence of DA at different concentrations.

EIS plots of 316L SS in 0.5 M HCl solution in the absence and presence of different concentrations of DA, (a) Nyquist plots; (b) Bode plots, and (c) equivalent circuit.
Figure 1.
EIS plots of 316L SS in 0.5 M HCl solution in the absence and presence of different concentrations of DA, (a) Nyquist plots; (b) Bode plots, and (c) equivalent circuit.
Table 1. Electrochemical parameters attained by EIS for 316L stainless steel in 0.5 M HCl in the absence and presence of DA at different concentrations.
Cinh (mg L-1) Rs (Ω) Rct (Ω cm2) 103 Q (µΩ-1 Sn cm-2) n Cdl µF cm-2 T (s) IEEIS (%)
Blank 0.824 318.8 0.185 0.840 1341.80 0.00246 ----
10-6 M 0.760 1570.0 0.116 0.915 496.70 0.00342 79.70
10-5 M 0.949 2640.1 0.132 0.861 1630.04 0.00159 87.60
10-4 M 0.534 3000.0 0.167 0.828 2507.90 0.01239 89.37
10-3 M 0.673 5927.0 0.102 0.830 1297.40 0.01373 94.62

The influence of DA on the corrosion behavior of 316L stainless steel in 0.5 M HCl was scrutinized utilizing EIS. The Nyquist plots (Figure 1a) demonstrate decreased capacitive semicircles, typical of corrosion processes proceeding under charge transfer control. Without an inhibitor, the charge transfer resistance (Rct) is low (318.8 Ω•cm2), reflecting fast corrosion kinetics. The arc diameter gradually becomes larger with increasing DA concentration, and when DA concentration was at 10−3 M, the diameter was up to 5927 Ω•cm2, which significantly enhances the corrosion protection. The Bode plots (Figure 1b) also reveal a higher modulus of the impedance at low frequencies and a more capacitive behavior, indicative of the formation of an insulating organic film.

When the equivalent circuit (Figure 1c) is used to fit the experimental data, a continuous decrease in the double layer capacitance (Cdl) at the same time as the DA concentration increases is observed, indicating the substitution of water molecules by less polar DA molecules and an enlargement in the virtual thickness of the adsorbed layer. Additionally, relaxation time τ increases at higher concentration, suggesting the retardation of the interfacial process, and in turn, the formation of a stable and uniform inhibitory film. As a whole, these results confirm that DA can only be adsorbed efficiently on the metal surface through its heteroatoms, enhances the electrochemical barrier, and offers inhibition efficiency that can reach ∼ 92% at 10−3 M. were estimated to be the double layer capacitance and relaxation time the double layer capacitance and relaxation time obtained from Equations 6 and 7:

(6)
C dl = Q 1 n × R ct 1n n

(7)
τ= R ct × C dl

Moreover, the evaluation of EIS-derived electrochemical data (Table 1) proves the marked effectiveness of DA as a 316L stainless steel corrosion inhibitor in the 0.5 M HCl solution. Appearing in the absence of inhibitor, the low charge transfer resistance (Rct = 318.8 Ω•cm-2) indicates a fast corrosion kinetic, while in the presence of DA, the Rct value increases progressively and significantly at 10⁻3 M, where it was 5927 Ω•cm-2, reflecting an important drop in the corrosion rate. While at the same time the double-layer capacitance (Cdl) decreased with increasing inhibitor concentration, attributed to the fact that the water molecules had been replaced by the DA molecules and the effective thickness of the adsorbed layer is increased, which demonstrated the formation of a protective organic film. The relatively small value of the heterogeneity factor (n) (close to 1) suggests that the adsorption is relatively homogeneous over the electrode and that good capacitive behavior is taking place on the electrode surface, whereas the relaxation time τ increases linearly with [DA], further evidence of the inhibition formation and of the retarded of the interfacial process. Revealingly, the experimental is the inhibitory efficiency obtained according to electrochemical impedance spectroscopy. (IEEIS) value increases from 79.7% (C = 10⁻⁶ M) to 94.6% (C = 10⁻3 M), indicating that DA effectively performs at low concentration and reaches maximum effect at high concentration, which confirms its nature as a mixed inhibitor, allowing for the formation of a stable protective film over the corrosion process.

3.1.2. PDP polarization and inhibition by dopamine

The OCP of the electrode was recorded continuously for 30 min prior to each measurement, at 292K (Figure 2a). In order to complement the EIS analysis and clarify the mechanism of action of DA, this section presents a study by PDP of 316L stainless steel in 0.5 M HCl. The Tafel curves recorded at different concentrations of DA are gathered in Figure 2(b), allowing for an appreciation of the inhibitor’s impact on the cathodic (proton reduction) and anodic (metal dissolution) branches as well as on the corrosion potential.

(a) OCP vs. time plot and (b) PDP curves (Tafel) of 316L steel in 0.5 M HCl in the presence and absence of DA: mixed inhibition and reduction of icorr.
Figure 2.
(a) OCP vs. time plot and (b) PDP curves (Tafel) of 316L steel in 0.5 M HCl in the presence and absence of DA: mixed inhibition and reduction of icorr.

The extracted electrochemical parameters, namely the corrosion potential Ecorr, the corrosion current density icorr, the Tafel slopes βα and βc, as well as the calculated inhibition efficiency, have been summarized in Table 2. The whole provides a quantitative framework to evaluate the impact of DA on the kinetics of corrosion reactions, to qualify the type of inhibition (anodic, cathodic, or mixed), and to relate these observations to the formation of a protective layer previously highlighted.

Table 2. Electrochemical parameters obtained by EIS for 316L stainless steel in 0.5 M HCl in the absence and presence of DA at various concentrations.
Medium -Ecorr (mV SCE) jcorr (µA cm-2) c (mV dec-1) a (mV dec-1) θ IEPP (%)
Without inhibitor Blank 346.06 468.05 219.9 083.4 --- ----
With inhibitor 10-6 M 345.61 122.46 207.1 155.6 0.74 73.83
10-5 M 340.69 99.37 192.1 165.7 0.79 78.77
10-4 M 338.16 63.85 293.1 155.6 0.86 86.35
10-3 M 298.97 33.89 129.8 128.2 0.93 92.61

(Figure 2b) illustrates the influence of DA on the polarization behavior of 316L steel in 0.5 M HCl. In a pristine environment, the curve exhibits the active anodic, active/passive transition, passivation, and trans passivation region in the anodic branch, while it shows hydrogen evolution in the cathodic branch. The concomitant decrease in current on both branches as DA content grows evidences (i) the inhibition manifested by a slowing of both the metal oxidation reaction and proton reduction, and (ii) a weakening/broadening of this active/passive transition, with loss of current in the passive zone, which is related to the formation of a protective organic film that hinders access of aggressive species to the substrate, and therefore, dissolution of the material. The shape of the cathodic branch in the presence and absence of the inhibitor is similar, suggesting that DA does not change the hydrogen evolution pathway (the current decrease due to site blockage is not a different pathway). The Ecorr is displaced a little (displacement < ∼85 mV, Table 2), a well-known criterion of a mixed-type inhibitor: DA retards the kinetics of both anodic and cathodic reactions without completely affecting one of the half-reactions.

These trends have all been established quantitatively in Table 2. The corrosion current density icorr obtained from Tafel extrapolation, was gradually close to zero with [DA], which means an increasing value of the inhibitory efficiency, and calculated by Equation 8:

(8)
IE PDP (%)= 1 i corr (inh) i corr (blank) ×100

after 10−2 at. % addition (see since ≈ 10 0 at.%), while I p continues to drop while reaching ≈ 92% for 10−3 M. The Tafel slopes βα and βc: a reduced value for βa (on close βc) with the same slope value in the cathodic domain (herewith, the current efficiency increases with a decrease in concentration). Indian. J. Chem. The slight displacement of Ecorr with respect to DA further confirms the identification of a mixed inhibition of the type prevailing barrier, which clearly matches the evolution brought about by EIS to Rct and Cdl, and is observed as the increase of icorr and the decrease of is the inhibitory efficiency obtained according to potential dynamic polarization (IE(PDP)) here.

In summary, from Figure 2(b) and Table 2, it can be observed that DA is well adsorbed on the 316L steel surface, with a significant decrease in icorr, and the passivation zone is stabilized by DA without affecting the cathodic mechanism, leading to a mixed inhibition with maximum efficiency of about 92% at 10−3. These observations are also in agreement with EIS measurements (increase of Rct, decrease of Cdl, and τ span), which indicate the formation of a stable and dense organic barrier at the metal/solution interface.

3.3. Adsorption isotherm

The Langmuir adsorption isotherm gives the best fit for this phenomenon according to the correlation parameters. Figure 3 shows the adsorption isotherm models of 316 SS in inhibited solution (0.5 M HCl plus inhibitor) at 292 K. The reverse of the y-axis intercept (1/Kads) yielded in (kJ mol-1) and Kads in (L mol-1). Using this equation 9:

(9)
Kads = 1 C solvent exp ΔGads RT

Adsorption isotherm models for 316 SS in 0.5 M HCl containing DA inhibitor at 292 K; obtained from linear polarization using (PDP) and from Nyquist plots (EIS).
Figure 3.
Adsorption isotherm models for 316 SS in 0.5 M HCl containing DA inhibitor at 292 K; obtained from linear polarization using (PDP) and from Nyquist plots (EIS).

the ΔG ads ° of adsorption of DA on the electrode surface were calculated at 292 K (Table 3).

Table 3. Different parameters of the Langmuir adsorption isotherm model for DA on 316 SS at T = 292 K.
Method Intercept Kads (M-1) Δ G ads ° (kJ. mol-1) Slope R2
PDP 3.28 × 10-6 263157 -40.05 1.077 0.9998
EIS 2.36 ×10-6 423728 -41.21 1.055 0.9999

3.4. Surface morphology and inhibitory film

3.4.1. Scanning electron microscopy

In order to confirm the electrochemical results and to clarify the barrier nature developed by DA, the surface morphological study of 316L stainless steel was approved out by means of SEM after 48 h of immersion in 0.5 M HCl in the absence and presence of DA (up to 10−3M). This description allows an in-situ observation of the corrosion features (pitting, dissolution striations, and roughness) and assessment of the continuity/homogeneity of the adsorbed organic film. Figure 4 shows the micrographs of DA “blank” and inhibited samples, whose comparison gives a graphical reading of pitting suppression and surface smoothing by DA. The sensing results from the SEM will be associated with such raising of Rct, lowering of Cdl, and prolonging of τ read from EIS/PDP, and with the salient XPS indices verifying the adsorption of DA.

SEM micrographs of 316L stainless steel after 48 h in 0.5 M HCl: (a) without inhibitor (blank), severely attacked surface; (b) with DA (10⁻3 M), surface smoothed and homogenized by a protective film.
Figure 4.
SEM micrographs of 316L stainless steel after 48 h in 0.5 M HCl: (a) without inhibitor (blank), severely attacked surface; (b) with DA (10⁻3 M), surface smoothed and homogenized by a protective film.

The surface morphology of 316L SS after 48 h of immersion in 0.5 M HCl (a) without inhibitor and (b) with DA has been compared in Figure 4a and 4b. Pitting, significant roughness, typical attack dissolution striations, and products of corrosion detachment are indications of a corrosion process mainly governed by charge transfer favored by Cl⁻ ions, as suggested by the comment written on the figure for the reference sample. The micrograph in Figure 4(b) showed, on the other hand, in the presence of DA, a much smoother and uniform surface with the lack of defects (much less and shallow pits) and the occurrence of a continuous layer at the interface, corresponding to an adsorbed organic film. The annotation boxes have been drawn on the figure, actually, well points out these differences (rough and pitted areas vs. smooth surface) and support the concept of a film protective for DA deposition.

Mechanistically, this morphological evolution is fully consistent with EIS/PDP: (i) the increase of Rct and (ii) the decrease of Cdl express the reduction of the active surface and the thickening/isolation of the double layer, while (iii) the growing relaxation time τ accounts for a slowing down of the interfacial kinetics. The overall system favors good adsorption of DA over its heteroatoms (O, N) and π electrons, leading to a charge transfer barrier that suppresses the anodic dissolution and restricts the access of aggressive species. This morphologic interpretation is consistent with the XPS data (nitrogen and oxidized/hydroxylated species at the surface) that demonstrate that a mixed organic/oxide film is formed upon DA. In the summary, Figure 4 is direct visual evidence of the protective role of DA (decreased pitting and finish roughening, film continuity, and surface stability, all of which are supported by the high inhibition efficiency of ∼92% at 10-3 M extracted from the electrochemical measurements.

3.4.2. XPS Adsorption of dopamine

For the determination of the chemical nature of the layer built by DA and to offer direct visual evidence for its adsorption, the surface of 316L SS was investigated by XPS after 48 h immersion in 0.5 M HCl in the blank and DA (10⁻3 M) present. Figure 5(a) shows on the one hand the survey, which makes possible the comparison of the elemental composition of both surfaces, and on the other hand, the high-resolution spectra (Figures 5(b-h)) between Mo 3d levels and the reference spectra employed... of the N 1s, Ni 2p, Fe 2p, Cr 2p, O 1s, C 1s and Mo 3d levels and the reference spectra employed to assign the chemical states of the species found. The presence of an N 1s signal under DA, accompanied by the evolution of O 1s and C 1s contributions, should attest to the anchoring of DA through its hetero-atoms (O, N) and its linkage to the passive film of oxides/hydroxides (Fe, Cr, Ni, Mo). All these XPS data will help to clarify the adsorption mechanism and the relation of the surface chemistry to the inhibition effectiveness pointed out by EIS/PDP.

XPS spectra (survey and high resolutions N 1s, Ni 2p, Fe 2p, Cr 2p, C 1s, O 1s, Mo 3d) of 316L steel after 48 h in 0.5 M HCl: comparison without inhibitor and with DA (10⁻3 M).
Figure 5 (a-h).
XPS spectra (survey and high resolutions N 1s, Ni 2p, Fe 2p, Cr 2p, C 1s, O 1s, Mo 3d) of 316L steel after 48 h in 0.5 M HCl: comparison without inhibitor and with DA (10⁻3 M).

After immersing for 48 h, samples of AISI 316 SS in 0.5 M HCl, the white XPS “survey” spectra (Figure 5) reveal the characteristic alloy elements (Fe, Cr, Ni, Mo, and O), but also a C 1s signal related to the incorporation of C into the alloy lattices. On the other hand, for the sample exposed to the lower concentration (10⁻3 M) of DA, a further peak N 1s is observed, direct proof of a surface-adsorbed molecule [27]. This is supported by the high-resolution spectroscopy: the N 1s at 398 eV would indicate metallization of nitrogen (type M–N); Ni 2p would show doublets at 855,7/873,2 eV with satellites 861,4/879,9 eV typically for Ni(OH)₂; Fe 2p would display 711,1/724,2 eV characteristics of Fe₂O₃/FeOOH; Cr 2p would show 586 e/577 eV assignable to Cr(III)/CrOH; O 1s would present two components at 531 eV (C=O) and 288 eV (C=O) and 286 eV (C–O/C–N) representative of the DA’s phenol/amine functions; and finally, Mo 3d would show 235/232 eV for MoO₂ [28]. The XPS findings confirm that AISI SS 316 demonstrates superior adsorption of DA,

All of the above signatures suggest that a passive layer of oxides/hydroxides (Fe, Cr, Ni, Mo) is preserved/enhanced at the surface in acidic environment, on which DA adsorbs onto this layer, using its heteroatoms (O and N) and π-electrons to mediate the interfacial connection between the homogeneous organic film and the inorganic film [29,30]. This bilayer structure decreases the active site availability and charge transfer rate, in agreement with the increase of Rct and the decrease of Cdl and the significant decrease in icorri observed via EIS/PDP, accounting therefore for the high inhibition efficiency of DA in 0.5 M HCl.

3.4.3. Multi-scale modeling of dopamine inhibition: DFT calculations and molecular dynamics (MD)

3.4.3.1. DFT Study

To reveal the molecular depth of DA adsorption and to account for its inhibiting activity, we use a joint approach of quantum calculations (DFT/DFTB) and solvation. Figure 6 shows “(a)” the energy variation for the neutral and protonated form along with stable conformations used for electronic analysis, and “(b),” the COSMO sigma profiles, which characterize the donor/acceptor regions in an H-bond, and give information on the aqueous affinity and solubility of the molecule. The localization of frontier orbitals (HOMO and LUMO) mainly on the most electronegative atoms, O and N, indicated the possibility of electron donation-acceptance interactions with iron (HOMO donation → Fe(d) and backdonation Fe(d) → LUMO) conducive to chemisorption (Figure 7). The MAC of the neutral and protonated forms are mapped in Figure 8, which reveals high negative charges on O/N, therefore distinguishing such atoms as the preferred adsorption sites in the presence of a cation; these results supplement MEP data corresponding to COSMO. Last, Table 4 compiles the DFT electronic descriptors (HOMO, LUMO, ΔE, ionization and electron affinities, electronegativity, hardness/softness, electrophilicity, charge transfer, backdonation energy, etc.) that characterize the propensity of the DA to interact in terms of the number of electrons exchanged with the Fe(110) surface medium and, hence, to enhance the stability of the adsorbed state. All these parameters contribute to giving a unified picture encompassing solvation, electronic reactivity, and tendency to adsorb, required to interpret rationally the experimentally stressed anticorrosion capabilities.

Conformational stability and solvent affinity of DA: (a) evolution of the energy (MD) of the neutral and protonated forms; (b) COSMO sigma profile showing the donor/acceptor regions of H bonds.
Figure 6.
Conformational stability and solvent affinity of DA: (a) evolution of the energy (MD) of the neutral and protonated forms; (b) COSMO sigma profile showing the donor/acceptor regions of H bonds.
Maps of the frontier orbitals (HOMO/LUMO) of neutral and protonated DA: localization on O and N and implications for adsorption on Fe.
Figure 7.
Maps of the frontier orbitals (HOMO/LUMO) of neutral and protonated DA: localization on O and N and implications for adsorption on Fe.
Mulliken atomic charges (MAC) of DA: neutral and protonated forms, highlighting O/N adsorption centers.
Figure 8.
Mulliken atomic charges (MAC) of DA: neutral and protonated forms, highlighting O/N adsorption centers.
Table 4. Binding energies of XPS.
Bingding energy (eV) Representation
398 M-N
855,7/873,2 NiO
861,4/879,9 Ni(OH)₂;
display 711,1/724,2 Fe₂O₃/FeOOH
586/577 Cr(III)/CrOH
531 (C=O)
286 (C–O/C–N)
288 (C=O)

The figure collects (a) the time evolution of energy contributions (potential, kinetic, non-bonding, and total) to the neutral and protonated DA and (b) the COSMO sigma-profile. As seen in panel (a), both structures relax promptly toward low-energy conformations; the total energy becomes stable after several ps, suggesting a reliable structure for electronic calculations. For the protonated species, these fluctuations are slightly enhanced (which is in line with a network of intramolecular H-bonds and stronger electrostatic interactions), but it also approaches a stationary energy state. In panel (b), the COSMO sigma-profiles derived from the surface charge density distributions are presented: the screened charge density is divided into three regions of the COSMO method [4], H-bond donor, non-polar region, and H-bond acceptor, and predicts the solvent affinity as well as the solubility [13]. Maps show that DA (neutral (pink), protonated (blue)) presents significant contributions in the donor and acceptor regions, which confirms its amphoteric nature (phenolic and amine groups); the protonated form provides more intense peaks in the polar side, thus indicating a higher capacity of not only formation of H-bond interactions with water, but also good aqueous solubility, mainly dependent on the strength and extent of H-bond interactions with the solvent [14]. This heavy hydration results in an effective inhibitor presentation at the metal/solution interface, which also implies a sort of conflict between adsorption and solvation. Finally, DFT calculations (see Figure 7) disclose that the HOMO/LUMO are mainly localized at the heteroatoms O and N, i.e., at the electron-rich sites, since such sites should act as the most relevant adsorption centers in that donate-accept kinds of electrons to the d orbitals of iron, which is consistent with the above experimental adsorption and high inhibition efficiency. Finally, the triptych conformation stability → high aqueous affinity (COSMO) → active electronic sites (DFT) was summarized, which can underlie the adsorption mechanism/DA anticorrosion performance.

From Figure 7 (frontier orbitals) it can be also inferred that the density of the HOMO is strongly localized on the O and N heteroatoms of DA, in particular on the catechol nucleus and the amine, which implies an electron donating power towards the vacant d orbitals of Fe, and then a chemisorption by σ donation (M–O, M–N) that leads to a protective organic layer on the metal (9). In contrast, the LUMO density spreads over these patterns (π* of the aromatic ring and O/N functions) as well as the electrons from the electron-rich metal surface (Fe 3d → π* backdonation) are accepted, promoting anchoring by the π–d hybridization, which stabilizes the adsorbed state. The donor/acceptor abilities (ED/EA) combination effectively enhances overall inhibition efficiency through the formation of strong and stable coordination bonds at the inhibitor-metal interface [8]. At least in this Figure, a charge cycle can arise: the LUMOs of the molecules capture electrons temporarily from the metal, which are afterwards transferred back into the environment (dissipation/relaxation of charge within the adsorbed film) [31]. Lastly, the N and O atoms’ lone pair contributions can be shared with vacant d orbitals of Fe atoms, leading to an increased adsorption ability, enhancing the metal-inhibitor contact, and stabilizing the surface complex, an interpretation which is fully consistent with the increased Rct, decreased Cdl (EIS), and N 1s M–N-type signature in XPS.

The most commonly employed DFT-based descriptors for connecting the inhibitors’ electronic structure with their adsorption ability on iron are summarized in Table 5 in terms of the representations and equations typically proposed in the literature [22]. In this respect, the insightful role played by DFT calculations in understanding and designing inhibitors is commonly acknowledged [15]. Regarding DA, the HOMO and LUMO energy values (–5.308/–5.472 eV for the neutral/protonated forms and –0.825/–0.969 eV, respectively) result in a gap ΔE ≈ 4.5 eV, which agrees with a moderate electronic reactivity suitable for selective chemisorption rather than an overaggressive reactivity. The ionization energy I (≈5.31–5.47 eV) and the electron affinity A (≈0.83–0.97 eV) control the molecule’s ability of donating or accepting electrons from the Fe(110) surface: a rather low I and a non-negligible A point to a dual donor/acceptor character which is favorable for HOMO →d(Fe) donation and d(Fe) → LUMO backdonation—the mechanism that stabilizes the adsorbed state and increases the adhesion [8]. This is in agreement with the HOMO/LUMO plot (Figure 7), and they are located on the heteroatoms O, N, with emphasis on reaction active sites.

Table 5. DFT electronic descriptors of DA (neutral and protonated): HOMO, LUMO, ΔE, I, A, χ, η, σ, ω, ω⁺/ω⁻, ΔN, and back-donation energy (ΔE_back).
Descriptor Neutral Protonated
HOMO -5.3080 -5.4720
LUMO -0.8250 -0.9690
∆E(HOMO-LUMO) 4.483 4.503
Ionization energy (I) 5.3080 5.4720
Electron affinity A) 0.8250 0.9690
Electronegativity (Χ) 3.0665 3.2205
Global hardness (η) 2.2415 2.2515
Global electrophilicity (ω) 2.0976 2.3033
Global softness (σ) 0.4461 0.4441
Chemical potential (π) -3.0665 -3.2205
Electroappcepting (ω+) power 0.8445 0.9745
Electrodonating (ω-) power 3.9110 4.1950
Net electrophilicity (∆ω+-) 0.5888 0.7361
Fraction of transferred electrons (∆N) 0.0365 0.0021
Energy from inhibitor to metals (∆N) 0.0030 0.0000
∆E back-donation -0.5604 -0.5629

This painting is confirmed by some global descriptors: the electronegativity χ (3.07 → 3.22 eV) and the chemical potential μ = –χ (–3.07 → –3.22 eV) imply a slightly more electrophilic character of the protonated version, which is also corroborated by the electrophilicity ω (2.10 → 2.30) and the electro-accepting power ω⁺ (0.845 → 0.975). On the other hand, the value for the hardness η (≈ 2.24–2.25 eV) is approximately the same for both systems, and the relatively high value of the softness σ = 1/η (≈ 0.446–0.444) characterizes it (the adsorbents) as an adsorbent with a large tendency towards an adsorption on steel [8,14]. WME The amount of the transferred charges ΔN is small and positive for the neutral species (0.0365), which indicates an electron donation and ionic contribution of the L-type to Fe; however, the small and very low ΔN value for the π − state (0.0021) means a more limited electron donation—this trade-off is due to the medium (HCl) mainly focusing on a protonated acid model, where on one hand the protonation causes an increase in solvation/aqueous affinity and on the other hand a decrease in the basicity of the donor sites. Last, the backdonation ΔE is very close to −0.56 eV (for both structures), meaning that thermodynamically the Fe → LUMO backdonation is favorable, which enhances the stability of its adsorption [8,14]. In conclusion, the high flexibility values σ, the balanced I/A combination, the favorable backdonation (ΔE < 0), and the frontier orbitals localized on O/N account for the strong adsorption through electron donation-acceptance on Fe(110) with the proposed mechanism [8]. The neutral form seems to be a better donor (higher ΔN) and the protonated one more electrophilic (larger ω, ω⁺); the counterbalance ED/EA contributions justify the high experimentally observed inhibition. In this sense, Table 4 shows some electronic descriptors (χ, η/σ, ω, ω⁺/ω⁻, ΔN, ΔE_back) which help to explain the adsorption characteristic and anticorrosion efficiency of DA, suggesting the role of the DFT approach in the rational design of inhibitors [13,22].

Figure 8 shows the active sites for the adsorption of DA at Fe(110) and confirms heteroatoms as the dominating feature. If we follow the theoretical model according to which MACs are reliable indicators of inhibitory sites [32], for the neutral form, we find the catalytic receptor has strongly negative charges (≈ –0.45) on the catechol oxygens and on the amino nitrogen (≈ –0.89), but the ring carbons are weakly negative. This distribution points to a strong donor ability of the non-bonding pairs of O/N with respect to the vacant d orbitals of the iron, in agreement with a multidentate chemisorption (M–O and/or M–N bonds) on Fe(110) [33]. For the protonated species, the protonation causes redistribution of the electron density – the oxygens become even more electron rich (–0.73/–0.80) and the nitrogen less donating (absolute value ≈ –0.78), thus suggesting that this environment coordination will preferentially occur through the oxygen atoms and π-system of the aromatic ring. These data are consistent with the hypotheses for the selectivity of some Fe(110) sites towards specific O/N atoms of the inhibitors [33] and the established observation that O and N heteroatoms are preferred adsorption sites due to their high electron density [7]. Furthermore, MEP (Figure 7) evinces that the positive/negative potentials are surrounding the same motifs and strengthens the findings about adsorption favorable sites and metal‐inhibitor interaction bridging [22]. On the whole, MAC and MEP offer a consistent explanation for the mechanism: the O/N doublet donation → Fe(3d), the adsorbed status stabilization, and then the enhancing particulate adsorption ability toward DA, the origin of its inhibitory efficiency in an acidic environment.

3.4.3.2. DFTB+ analysis of charge redistribution and planar anchoring mode

To clarify the anchoring pattern and electronic rearrangement of DA on the iron surface, we carry out DFTB+ calculations on iron Fe(110). The charge density difference diagram (Δρ) of the adsorbed state (isosurfaces ±0.002 e·Å⁻3; blue = increase, red = decrease) is shown in Figure 9, which shows a nearly planar orientation of the molecule adsorbed state and donor-acceptor interaction between O/N/π sides of the DA and the t2g/eg d orbitals of the Fe. The characteristic bond distances (r[O] = 2.64 Å, r[C ring] = 2.56 Å) confirm that strong chemisorption can be connected with the observed redistribution of the charge that stabilizes the adsorbed film responsible for the inhibitor effect.

Δρ of DA adsorption on Fe(110) (DFTB+).
Figure 9.
Δρ of DA adsorption on Fe(110) (DFTB+).

Figure 9 (DFTB+ calculation) represents the charge density difference Δρ in the case of DA adsorption on the Fe(110) support (isosurfaces plotted at ±0.002 e•Å⁻3; blue = accumulation, red = depletion). The most stable adsorption structure features a nearly planar (side-on) orientation of the molecule with respect to the metal plane, and is a well-known one for elongated organic inhibitors where π–d hybridization is believed to control the anchoring. The experimental r[O] = 2.64 Å and r[Cring] = 2.56 Å distances confirm that the catechol/aromatic ring functions only form a chemisorptive interaction with each of the surface atoms.

The Δρ map (red areas only) is focused on O and N atom and the aromatic ring (electron depletion on the inhibitor), signatures of an electron donation (O/N non-bonding pairs and π density) to the empty d orbitals of iron, symmetrically, the marked accumulation in the first Fe layer (blue areas) reflects the backdonation Fe 3d/4s → π* of the phenyl, this donor-acceptor scheme establishing the bond to the surface. This π–d coupling accounts for the stability of the adsorbed geometry and the presence of a well-defined protective continuous organic layer; on the contrary, small molecules that do not extend their π system tend to adsorb perpendicularly due to localized chemisorption at the heteroatoms. The overall (planar orientation, significant charge transfer, and short O/ring–Fe distances) indicates the large donation/acceptance of DA and strong inhibitor–metal interaction, consistent with the good anticorrosion efficiency evidenced from electrochemical measurements.

3.4.3.3. MC/DM: DA adsorption on Fe(110)

To well understand the adsorption process of DA (DA) on Fe(110), besides the experimental data, the Monte Carlo (MC) and MD simulations were performed. These results have been summarized in Figure 10: at the minimum energy geometries of both the neutral and protonated forms (MC/DM), which shows a quasi-planar orientation of the molecule, with the presence of O/N heteroatoms; b the distribution of adsorption energies Eads (calculated by equation (9)), which reveals the strength of the anchoring (the smaller the Eads value, the more robust the bond) and c the radial distribution functions (RDF) of O and N with respect to Fe (that allows us to discriminate between chemisorption and physisorption, 3.5 Å). This combined strategy attempts to bridge adsorption topology (planar mode and donor-acceptor interactions, π–d hybridization) to thermodynamic stability and dynamic structural signatures and to correlate them with the EIS/PDP and XPS/SEM characterizations.

Adsorption of DA (neutral/protonated) on Fe(110): (a) minimum energy geometries (MC/MD), (b) distribution of adsorption energies Eads, (c) radial distribution functions (RDF) O, N–F.
Figure 10.
Adsorption of DA (neutral/protonated) on Fe(110): (a) minimum energy geometries (MC/MD), (b) distribution of adsorption energies Eads, (c) radial distribution functions (RDF) O, N–F.

The most favorable adsorption geometries for DA (neutral and protonated) on Fe(110) obtained from MC and MD simulations are represented in Figure 10(a). In both cases, the molecule prefers an almost planar orientation with respect to the metal plane: the aromatic ring lies down (on the surface) and both heteroatoms, O/N, approach the Fe atoms. It is controlled by donor-acceptor interactions that stabilize chemisorption through donation of O/N doublets and π density to the empty d orbitals of iron and backdonation Fe(3d/4s) → π* and lead to the formation of a protecting organic film.

Panel Figure 10(b) shows the distribution of the adsorption energies Eads as calculated by (Equation 10) from MC, while panel Figure 10(c) displays the distribution of the hopping barriers W.

(10)
Eadsorption =EFe 110 || inhibitor Fe 110 +Einhibitor    

The measured values, largely negative (from −125 to −147 kcal mol⁻1), are indicative of a very strong inhibitor–metal interaction; the more negative Eads, the more pronounced anchoring and the more stable barrier layer is formed, which permanently hinders corrosion [32,34].

(c) RDF for heteroatoms O and N relative to Fe, from MD trajectories. The prominent peaks < 3.5 Å suggest chemisorbed contacts (coordination bonds/strong interaction) of O/N with Fe(110); the contributions beyond 3.5 Å result from weaker physisorption. This RDF signature supports the chemisorption mechanism inferred from the Eads energies and the anchor plane mode, and is a reference tool for the description of the adsorption and interfacial interaction of inhibitors [19,34].

Altogether, MC and MD receive the following: (i) planar orientation of DA on Fe(110), (ii) very negative adsorption energies, indicating a strong interaction, and (iii) RDF with short first maxima for O/N–Fe indicates the chemisorption. The results of these models are in good agreement with experimental data (increase in Rct; decrease in Cdl; large decrease of icorri and confirm the important functions of the electron transfer and O/N sites in stabilizing the adsorbed film for good inhibition of corrosion.

4. Conclusions

The use of expired DA as a corrosion inhibitor for stainless steel is important and promising because it is a solution for recycling expired drugs instead of incinerating them. Furthermore, this drug is a less expensive alternative to toxic inhibitors.

Outdated DA showed an efficient corrosion inhibition for 316L stainless steel in 0.5M HCl. EIS and PDP measurements demonstrate strong inhibitory performance, indicated by a significant increase in the charge transfer resistance and a substantial decrease in corrosion current for both techniques. At 10-3 M, the maximum inhibition efficiency reaches 95% (EIS) and 93% (PDP). The adsorption mechanism follows the Langmuir isotherm with a standard Gibbs free energy of adsorption ΔGads˚ ≈ −40 kJ•mol1, suggesting a co-adsorption mechanism (physisorption and chemisorption). Surface analysis via SEM and XPS confirms the formation of a continuous organolayer atop the passive film, evidenced by the presence of Ni(OH)2, Fe2O3, Cr(III), MoO2, and N1s signal. DFT, DFT-B (tight-binding), and COSMO calculations, along with charge density difference maps (CDDMs) and molecular dynamics (MC/MD) simulations, collectively confirm the inhibition mechanism. The theoretical analyses indicate that the HOMO/LUMO orbitals and Mulliken charges are localized at the oxygen (O) and nitrogen (N) atoms, classifying them as the primary adsorption sites. Furthermore, the simulations show sharp, almost in-plane relative orientations on Fe(110), highly negative adsorption energies, and Radial Distribution Function (RDF) peaks below 3.5 Å, all characteristic of strong chemisorption. Overall, DA forms a robust barrier film that effectively retards charge transfer, successfully protecting the metal. Its application represents an environmentally friendly and cost-effective route for utilizing drug waste.

Acknowledgement

The authors extend their appreciation to Prince Sattam bin Abdulaziz University for funding this research work through the project number (PSAU/2025/01/33820).

CRediT authorship contribution statement

Mustapha Alahiane, Oussama Ouerghi, Yassine Riadi, Avni Berisha, Mohammed H. Geesi: Conceptualization, Supervision, Validation, Writing - review & editing, Visualization, Software, Methodology. Abdulaziz Alanazi, Talal A. Aljohani, Noureddine Lazar: Conceptualization, Writing - review & editing, Software, Validation, Methodology, Validation, Formal analysis.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Declaration of generative AI and AI-assisted technologies in the writing process

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript, and no images were manipulated using AI.

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