A computational study of the interaction of organic surfactants with goethite a -FeO(OH) surfaces †

We have studied the adsorption of three organic molecules onto di ﬀ erent surfaces of goethite a -FeO(OH) using atomistic simulation techniques. New interatomic potentials for the interaction between goethite and the organic molecules were developed. In the majority of cases the organic molecules were found to be capable of forming a coordinate bond via their carbonyl oxygen atom with a surface iron ion. In addition, weaker hydrogen bonds were formed between the organic molecules and the surfaces. The largest adsorption energies were obtained for the modes of adsorption where the organic molecules bridged or spanned the periodic grooves or dips present on the goethite surfaces, thus forming several interactions between the molecule and the surface. Among all adsorbates studied, the hydroxamic acid molecule in the eclipsed conformation releases the largest adsorption energy when it interacts with goethite surfaces, followed by the staggered conformations of hydroxyethanal and methanoic acid molecules. The adsorption energies are in the range of (cid:1) 60.0 to (cid:1) 186.4 kJ mol (cid:1) 1 . Due to the surface structure, as well as the ﬂ exibility and size of hydroxamic acid and hydroxyethanal, in most cases these adsorbate molecules lose their planarity with respect to the structure of the isolated molecules. We found that the replacement of pre-adsorbed water by the organic adsorbates is an exothermic process on all the goethite surfaces studied. The removal by sorption onto iron particles of humic and fulvic acids, the major substituents of natural organic matter (NOM) that pollutes aquifers and soils, is corroborated by our calculations of the adsorption of surfactants with the same functional groups as the surfaces of oxidised iron particles.

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Introduction
Aer silicon and aluminium, iron is the third most abundant cation in the crust of the Earth. It is found mainly in soils, sediments and rocks as (hydr)oxides, such as goethite (a-FeO(OH)) and hematite (a-Fe 2 O 3 ), which are the most common forms found in cool-temperate and warm climates respectively. 1 These iron (hydr)oxides have also been found coating other naturally occurring minerals such as quartz and clay 2 and they are also the most common product of iron metal corrosion in aqueous environments, 3 as well as in various applications that use zero-valent iron (ZVI) as a reductant e.g., in the treatment of soils 4 and aquifers. 5 In environmental remediation, iron (hydr)oxides themselves have been reported to act as powerful removers of many contaminants, including heavy metals [6][7][8] and organic matter. 9, 10 Although pollutants have been traditionally disposed of in landll sites, the disastrous consequences for humans from leaking chemical waste, as for example observed in Love Canal in the USA and Lekkerkerk in Holland, 11 have forced governments to nd methods of transforming pollutants into less harmful forms to reduce the hazards associated with their disposal. 12 Therefore, the goal of remediation processes is to destroy or degrade the pollutant; extract it or isolate it from noncontaminated material to allow it to be treated aerwards; stabilise it in a less toxic or mobile form; or contain it to avoid damage to the environment. 13 Oen the remediation of both soil and groundwater must be accomplished simultaneously due to their constant interaction. 14 To this end, biological, 15-17 chemical 18-20 and physical [21][22][23] approaches are employed, usually in combination to achieve the best results. 24 A good example of a low-maintenance and -cost remediation technology is the 'Iron wall', where ZVI particles are applied. These 'walls' are composed of approximately 80% sand and 20% granular iron, where the latter is responsible for pollutant removal. 5 The pathway for pollutant removal from aqueous solutions by ZVI particles can be represented as: (1) oxidation of the iron particle surfaces, (2) adsorption of the pollutant to the iron oxide surface, (3) formation of a complex between the pollutant and the surface iron ions and (4) reduction of the contaminant at the expense of the ZVI particle. 10 This series of events is supported by experimental evidence of the core-shell structure found in ZVI particles, where the shell is composed of iron (hydr)oxides and the core of metallic iron that is slowly oxidised to supply electrons for the reduction of adsorbed pollutants on the shell. 8 As one of the primary steps in the synergic remediation mechanism of adsorption-reduction operating in the 'Iron wall' technology, the selective adsorption of the pollutants to the iron (hydr)oxides in the shell of the ZVI particles determines the effectiveness of the contaminant removal and decomposition.
A number of previous studies have described the interaction between iron (hydr)oxide and various types of molecules such as water, 25 inorganic ligands, 26 organic acids, 27-37 siderophore azotobactin, 38 and natural organic matter (NOM). [39][40][41][42][43] Despite the added effects of the pH of the medium, the adsorbate molecular mass, 41,42 competing ionic sorbates and ionic strength, the adsorption to iron oxides is determined mainly by the presence and type of functional groups in the adsorbate. 42 Carboxyl and the phenol hydroxyl groups present in NOM are the main functional groups responsible for the adsorption onto metal oxides. 28,39,41,44,45 The most polar moieties of aliphatic molecules are adsorbed onto the iron oxide surfaces by electrostatic attractions or ligand exchange reactions. 43 The aim of this work, therefore, is to carry out atomistic simulations to study the adsorption modes and strength of interaction of three organic molecules with representative functional groups with major goethite surfaces, where one hydroxylated aldehyde and two organic acids are selected as models for organic pollutants, i.e. methanoic acid, hydroxyethanal and hydroxamic acid. This selection of adsorbates will give us the opportunity to determine the effect of the chain length, different functional groups as well as adsorbate conformation on the adsorption process. 46 In addition, these organic acid molecules are simple models for the carboxylic type of ligands present in humic and fulvic acids, 45 which are the main substituents of NOM, one of the major contaminants present in aquifers and soils. 41 The structural differences in the vicinity of the carbonylic group in these organic acid molecules will allow us to investigate the heterogeneity of the acids present in NOM.

Methodology
Interatomic potential-based simulations were performed using the METADISE code, 47 to model the structures and calculate the energies of the goethite surfaces, adsorbate molecules and their adsorption. These energy minimisation techniques are based on the Born model of solids, which treats the interactions between the ions in the crystal as long-range electrostatic and short-range forces. 48 According to this model, the former type of interactions are simply the Coulomb sum of electrostatic forces calculated using the Parry technique, 49,50 which is an excellent method for describing systems with surfaces, while the latter are described by parameterised analytical equations that include repulsion and van der Waals attractions between neighbouring electron charge clouds. All geometry optimizations were carried out using static minimisation methodologies. The conjugate gradients method was used in the initial iterations of the minimisation to roughly guide the system to the zone where the energy has a harmonic dependence on the position of the ions, 51 followed by the Newton-Raphson method which is more suitable near the energy minimum. 52 The energy minimisation techniques adjusted the atomic positions until the net forces on each atom were zero. 47 The electronic polarisability of the ions, in our case the different oxygen species in goethite, is represented by the shell model of Dick and Overhauser, which considers the polarisable ion as a massy core with a massless shell connected by a harmonic spring. 53 This model considers that the polarisability of an ion is determined by the relative charges between core and shell and the constant of the spring that joins them.

Interatomic potential model
Three sets of potential parameters have been used in this work, which are fully compatible. The parameters developed by de Leeuw and Cooper have been used for modelling the goethite (a-FeO(OH)). 25 The interatomic potentials for goethite are based on the Fe(III) oxide parameters of Lewis and Catlow 54 with the polarisable hydroxy potential of Baram and Parker 55 and the short-range interactions between the iron ion and the hydroxy oxygen scaled according to Schröder et al. 56 A selection of parameters from the consistent valence force eld (CVFF) was chosen for the organic molecules, 57 which have been used in a number of previous studies. 46,58,59 The interaction parameters for the organic molecules with the goethite surfaces were derived following the method of Schröder et al., 56 where the short-range Buckingham potentials were scaled according to the electronic charges on the atoms of the organic molecule. The detailed interaction parameters used in this work are listed in Tables ESI-1, ESI-2 and ESI-3 of the ESI. † Previous studies [60][61][62][63][64] have shown good agreement between the adsorption energies calculated using energy minimisation simulations and experimental techniques such as adsorption calorimetry, 65 as well as identication of the congurations with largest binding energies for the interaction of water with CaO and silica. Moreover, earlier predictions, using atomistic simulations, of morphologies as well as hydration energies of several calcium carbonates, 66 were later conrmed by experimental techniques. 67 For the adsorption structures, interatomic potential calculations usually provide good results, as shown by atomistic simulation studies in combination with ab initio methods such as density functional theory (DFT). Previous studies of several different materials, such as a-quartz, 64 calcium uoride, 68 hydroxyapatite 69-72 and scheelite, 73 have indicated that there is good agreement between DFT calculations and interatomic potential-based simulations of modes and energies of the adsorption of small to medium-sized molecules. We are therefore condent that the interatomic potentials derived here for the interaction of goethite with the organic molecules are appropriate for the calculation of adsorption energies and structures.

Adsorption energies
The adsorption of isolated organic molecules onto each surface was modelled, but to ensure that a large number of interfacial congurations were tested, a comprehensive range of initial positions of the organic molecules with respect to each surface was sampled, including a series of heights, orientations and lateral displacements. The vertical distance between the organic molecule and the surface varied from 1.5Å to 3.5Å in 1.0Å intervals. For each height, 72 orientations of the molecule towards the surface were inspected, which included 12 rotations of 30 in the axis perpendicular to the surface for the molecule lying parallel or perpendicular to the surface. Prior to the energy minimisation, a systematic scanning procedure was carried out, where the organic molecule was kept at a constant height above the surface and moved in two directions over the surface without relaxing the surface or the molecule. The energy for the unrelaxed system was calculated as a series of points on a grid. This grid was determined by the surface lattice vectors at intervals of 0.5Å. This scanning process supplied information on the interfacial energy at each point on the grid, hence identifying the lateral displacement with largest binding energy of the centre of mass of the molecule with respect to the surface for the unrelaxed interfacial system. The 10 points of the grid with the largest binding energies from each scan were then used as the starting congurations for a full geometry optimisation.
In order to model the adsorption, the simulation cells were constructed so that the surfaces were large enough to accommodate the organic molecules without any constraints to the geometry of the organic molecule or interference between the organic molecule and its images in the periodically repeated surface cell.
The adsorption energies (E ads ) were calculated by using eqn (1).
where E ads is the adsorption energy, E system is the energy of the surface with the adsorbed organic molecule, E surf is the energy of the free surface and E adsorbate is the energy of the isolated organic molecule in its most stable conformation.

Goethite
Goethite (a-FeO(OH)) has a typical orthorhombic structure with space group Pbnm. The goethite structure is shown in Fig. 1, where the oxygen ions are in hexagonal close packed arrangement along the [100] direction and the Fe(III) ions occupy half of the octahedral sites between two layers. Consequently, the Fe(III) ions are stacked as double rows separated by double rows of empty sites, which appear as grooves in the surface or tunnels in the bulk. 1 In addition, goethite has tetrahedral interstices between three oxygen or hydroxy oxygen ions in one plane and those in the plane above. The goethite structure determined by Hazemann with a ¼ ß ¼ g ¼ 90 and a ¼ 4.616Å, b ¼ 9.955Å and c ¼ 3.023Å was used as our starting structure. 74 The lattice parameters of the relaxed goethite bulk crystal were The goethite morphology has been the subject of both previous experimental 75  These surfaces are expected in the natural environment where goethite crystals can be found, 1 although they are less stable than the {010} or {101} as the coordination number of the surface oxygen is two, compared to a bulk coordination of three, and the iron coordination number is decreased from six to four. 25 The selection of surfaces provides a number of different surface structures to investigate the strength and modes of interaction with the model pollutants. In accordance with previous studies, the hydroxy group of goethite is considered as an anion with covalent character. 25

Organic adsorbates
Determination of the key aspects in the competition of pollutants for binding sites on adsorbents plays an important role in modelling their interaction. 76 From previous studies, it is known that the strength of adsorption of molecules with common carboxylic acid and amide organic functional groups is highly dependent on their structures. However, the exact behaviour of each adsorbent/adsorbate pair is not known. 39 In this work, adsorption of three different organic molecules to the goethite surfaces was studied, namely, methanoic acid (HCOOH), hydroxyethanal (HC(]O)CH 2 OH) and hydroxamic acid (HC(]O)NHOH) (see Fig. 2). The methanoic acid and hydroxyethanal molecules provide the opportunity to study the effect of chain length and separation of the C]O and OH groups on adsorption. The hydroxamic acid molecule enables us to study the inuence of the replacement of a carbon by a nitrogen atom on their affinity for the goethite surfaces. Two extreme conformers have been considered for both hydroxyethanal and hydroxamic acid, one with the oxygen atoms as far away as possible from each other, which was labelled as staggered hydroxyethanal and hydroxamic acid, and the other with the two oxygen atoms eclipsed, called eclipsed hydroxyethanal and hydroxamic acid. There is evidence that hydroxamic acid and hydroxyethanal rotate through the C-N and C-C bond, respectively, during minimization in order to accommodate the carbonyl oxygen atom and the hydroxy group facing the adsorbant surface to maximize the number of interactions between them. 46,58,77,78 Additionally, the hydroxy hydrogen atom rotated freely during geometry optimisation of the organic molecules, either when they were isolated or when interacting with the surface. In order to search for the structure with the largest interfacial energy and avoid nding a local minimum, the goethite surfaces have been scanned with every adsorbate in their different conformations with various orientations and heights towards the surfaces. Based on previous studies, which have shown that the use of non-dissociated molecules in the calculation of adsorption trends is in line with the experimental behaviour, 79 the dissociation of the organic molecules was not considered in this study.

Scan
For each interfacial system, the organic adsorbate was scanned at 3 different heights and 72 orientations with respect to the goethite surface at each height. Given the size of the surface simulations cells, the adsorbate molecule was never closer than 19.17Å or farther than 23.38Å of its periodically repeated image, which ensured that no interactions occurred between them. Here, the system of the goethite {001} surface with the staggered conformation of the hydroxamic acid molecule is used to explain the scanning procedure. For this pair, the contour plot presented in Fig. 3 indicates that the unrelaxed adsorption energy is highly dependent on their relative positions. Fig. 3(a) and (b) show the unrelaxed adsorption energy map for the molecule at 2.5Å above the surface, where valleys and hills are shied and their topological features are changed as a result of the variation of the relative surface/adsorbate orientation, although their energy scales are essentially the same. Compared to a 0 orientation, for a molecule with 60 rotation the regions with the largest unrelaxed adsorption energy move from the surface Fe atoms (see Fig. 3(a)) to areas between the oxygen atoms in three neighbouring FeO(OH) units (see Fig. 3(b)). The results of the scan at two different heights (see Fig. 3(c) and (d)) show that the height has more impact than orientation on the unrelaxed adsorption energy. When the centre of mass of the molecule is kept at 1.5Å from the surface, the energy scale becomes 430 times larger and the most repulsive regions are located between the oxygen atoms in three FeO(OH) neighbour units (see Fig. 3(c)). However, when the mass centre of the hydroxamic acid molecule is 3.5Å above the surface, the regions between the same three oxygen atoms are transformed into the areas with the largest binding energies of the unrelaxed system, reducing the energy scale signicantly (see Fig. 3(d)). The change in the energy scale in the contour maps with the distance between the surfaces and the adsorbate can be rationalized in terms of the typical interatomic distances between the organic molecule and the surface atoms found for the interaction in this study, which are discussed in detail in subsequent sections. 1.5Å and 3.5Å are shorter or longer respectively than typical interatomic distances for the interaction between the molecules and surfaces, resulting in high repulsive or low positive unrelaxed adsorption energies. The optimal distance between the centre of mass of the molecule and the surface is 2.5Å, where the energy scale has small negative to positive values.
Similar calculations were conducted for other goethite/ organic adsorbates systems in order to corroborate the applicability of the preferred distance for all orientations. For each interfacial system, the 10 scanned positions of the molecule with the largest negative unrelaxed adsorption energies were used as the starting conguration for the full geometry optimisations described in Section 3.4.

Adsorption structures
The most important features of the adsorption modes, namely the interatomic distances between the organic molecules and all goethite surfaces are given in Table 1. Our results indicate that there is electrostatic character in several of the most favourable interactions between the surfaces and the organic molecules, which allows the main centres of adsorption on the surfaces (usually the iron ions) to interact with their counterparts in the organic molecules (oxygen and nitrogen atoms). The interactions are not only given by the coordination between atoms of opposite charge, but also for the hydrogen-bonds between the surface and the organic molecules. The adsorption energies mainly depend on the coordination between the negative atoms of the organic molecule and the iron ions of the surfaces. However, the number and strength of the hydrogenbonds will make an important secondary contribution to the nal adsorption energy if the coordination to the iron ions is similar.
3.4.1. Methanoic acid. The strongest interaction between methanoic acid and goethite surfaces is with the {100} surface. In terms of the modes of adsorption, the methanoic acid molecule is not only able to coordinate to two surface iron ions, but can also form several hydrogen-bonds with the surface. This molecule was found to be twisted out of its planar conformation (see Fig. 4) and where the structure of the surfaces allows, the molecule spans one of the periodic grooves present in the surface. No evidence was found for bidentate interactions of the methanoic acid via the interaction of its two oxygen atoms with either a single or two separate surface iron ions.
3.4.2. Hydroxamic acid. Our calculated results indicate that the preferred hydroxamic acid conformation adsorbed at the surface strongly depends on the surface geometry and the ability of the organic molecule to form different types of interactions with the surface, which is consistent with previous reports. 46 The eclipsed conformation of hydroxamic acid has larger adsorption energies on the {001}, {010} and {111} surfaces compared to that of the staggered conformation, although the staggered conformation is the most stable conformation in vacuum. The biggest adsorption energy is released on the {001} surface with the hydroxamic acid molecule in the eclipsed conformation. These energies can be explained by the ability of the two oxygen atoms in the eclipsed hydroxamic acid to interact simultaneously with different surface iron ions on the {001} and {111} surfaces. This nding is in agreement with evidence from infrared (IR) and X-ray photoelectron spectroscopy (XPS), suggesting the formation of a strong complex between the oxygen atoms from the hydroxamic acid molecule and the goethite surface Fe ions upon adsorption. 80 IR spectra also corroborate that surface complexes are identical in the pH range from 3 to 6, despite the stoichiometry change for the Fe 3+ hydroxamate complex in solution. 81,82 In addition, multiple hydrogen-bonds can also form between the organic molecule and the surface hydrogen and oxygen species, see Fig. 5, maximising the organic molecule-surface interactions. In the case of the staggered conformation of hydroxamic acid, although the surfactant can coordinate with the surface iron ions via the carbonyl oxygen atom, the molecule cannot form as many hydrogen-bonds because the organic hydroxy species are on the opposite side of the molecule. In some relaxed interfacial systems, the organic molecule adopted an intermediate conformation due to the free rotation allowed through all bonds, but they were always higher in energy than the adsorption mode with the largest binding energy described above.
3.4.3. Hydroxyethanal. Hydroxyethanal has a similar structure to the hydroxamic acid molecule, with the nitrogen atom replaced by a carbon plus one hydrogen atom. The two conformations of hydroxyethanal were found to lead to equal adsorption energies on most goethite surfaces, apart from the {110} and {011} surfaces. On the {010}, {111}, {001} and {100} surfaces, the organic molecule rotates through the C-C bond and binds to the surface in the same congurations regardless of the initial conformation. Hydroxyethanal rotated to the eclipsed conformation on the {010}, {111} and {001} surfaces, whereas on the {100} it preferred the staggered conformation aer geometry optimisation. The free rotation and preference for a single conformation on each surface explains why the values for the adsorption energy are the same for the adsorption of both initially different conformations on these surfaces (see Table 2 for details). The largest adsorption energy was found for the interaction of hydroxyethanal in staggered conformation with the {100} surface (see Fig. 6), which is the opposite conformation to that preferred by hydroxamic acid on this surface. This strong binding is due to the close proximity of the carbonyl oxygen to one surface iron atom and one of the shortest hydrogen-bonds found for this molecule on any surface, which is expected to be very strong because of its form (O-H/O surf ). The combination of these two factors can only be found if the hydroxyethanal forms a staggered conformation at the surface. Table 2 lists the calculated adsorption energies of the three organic molecules on the goethite surfaces with low Miller indices along with the surface energies, showing a correlation between the surface and the adsorption energies of the organic molecules. It is clear that the {100} and {001}, which are among the less stable surfaces, are the most favourable surfaces for adsorption of all surfactant molecules. On both these surfaces, the protruding hydroxy groups and under-coordinated iron ions contribute to the surface reactivity and lead to relatively larger adsorption energies than the other goethite surfaces studied here. These under-coordinated iron ions produce favourable sites for the carbonyl oxygen atom to bind to with the protruding hydroxy groups taking positions that resemble the arrangement of equivalent hydroxy groups within the goethite bulk, highlighting the importance of the surface structure on the adsorption of the surfactant molecules. The methanoic acid is the least favourable adsorbate in terms of its strength of interaction with the goethite surfaces, which is mainly due to its single functional group that is able to interact with the surfaces. Although it has a carbonylic group, which interacts with the surface species via its oxygen as observed with the other surfactant molecules, the atoms of its hydroxy group have less exibility due to the direct link of this group to the carbonyl carbon atom. This results in the methanoic acid molecule forming fewer additional weaker interactions with the surface when bridging between different surface species.

Adsorption energies
T Considering the carbonyl group as essentially the same for the two adsorbates, the differences in strength and modes of adsorption between these two molecules can be modelled due to the different types of atom linking the carbonyl carbon and the hydroxy oxygen atom (N and C in hydroxamic acid and hydroxyethanal respectively). As mentioned earlier, relatively larger adsorption energies are released when these two surfactants adsorb onto goethite surfaces. In most cases, the adsorption energies of hydroxamic acid are slightly larger than those of hydroxyethanal. The absence of a hydrogen and the presence of nitrogen instead of one of the carbon atoms in the hydroxamic acid enables this molecule to form a number of additional interactions with the surfaces. For example, hydrogen-bonds can form between the hydroxy group species in the organic molecule and the surfaces, enhancing the adsorption of the hydroxide amide with respect to the carbonyl group.
The importance of the proximity of hydroxy and carbonyl group in the surfactant molecules for the strength of adsorption can be assessed by comparing the adsorption energies of methanoic acid and hydroxyethanal onto the goethite surfaces. Table 2 indicates that adsorption of hydroxyethanal on goethite surfaces is always stronger than that of methanoic acid. The differences in the energies can be explained by the capacity of each surfactant to form additional interactions via the hydroxy group atoms. The greater exibility of the hydroxy group in hydroxyethanal allows it to form stronger interactions with surface species. However, in methanoic acid the hydroxy group is directly attached to the carbonyl carbon making it difficult for this group to interact with the surface.

Competitive adsorption
Although the remediation process of aquifers and soils occurs under aqueous conditions, thus far the surfaces studied have been anhydrous. As remediation processes take place in an aqueous environment, it is important not only to understand the adsorption strength of these organic molecules on the dry surfaces of goethite, but also on the hydrated surfaces. The remediation process can be seen as the displacement of pre-adsorbed water by surfactant molecules. In order to evaluate the competitive adsorption of the water and organics on the same surface, a comparison of their adsorption energies is required. 79 Although this comparison discards any reinforcement or debilitation of the organic molecule adsorption onto goethite due to interactions between them and surrounding water molecules, it provides ad i fference in energy for the hydrated surface and the molecule attached to the dry surface. This approach is further supported by evidence from molecular dynamics simulations showing no signicant interaction between the methanoic acid adsorbed onto calcium uoride and the surrounding liquid water, while the relative energies for the different adsorption sites were not affected by the addition of the solvent. 68 To do this, the methodology established in previous studies was followed for the interaction of surfactants with different mineral surfaces, such as calcite, 78,79 uorite, 77,79 scheelite 58 and uorapatite. 46 It is clear from Table 2 that the adsorption energies of all three organic molecules on goethite surfaces are higher than the surface hydration energies. Thus from a thermodynamics perspective, these three organic molecules will be able to displace the water molecules on the goethite surfaces. Our results suggest that fulvic and humic acids could be eliminated from the aquifers via adsorption of their carboxylic ligands to goethite surfaces, such as those expected to be present in ZVI technologies.

Conclusions
We have carried out a series of static energy minimisations to investigate the interactions between three organic molecules with diverse functional groups and a series of goethite surfaces.
Our calculated results show that the strongest adsorption occurs when the adsorbate molecule is able to form multiple interactions with the surface ions, including hydrogen-bonds. Overall, the energetically most favourable interfacial system is the eclipsed hydroxamic acid on the goethite {100} surface. We noted that in the relaxed structures of the hydroxamic acid/ goethite systems, the initial staggered conformation has rotated through the C-N bond to form the eclipsed conformation. It was also found that in the case of hydroxyethanal, the system with the largest adsorption energy occurs when hydroxyethanal in its staggered conformation interacts with the surface rather than the eclipsed conformer. It is interesting to note that in this case, the initial eclipsed conformation rotated through the C-C bond to form the staggered conformation at the surface.
Adsorption of all the organic molecules is exothermic, which indicates that these molecules are good surfactants. On thermodynamic grounds, competition with pre-adsorbed water should allow the organic molecules to replace water at the major surfaces of goethite and form high coverages of the surfactant molecules at the surfaces. Consequently, we consider that organic molecules that contain at least one carboxylic acid group or any of its modications can be effectively removed from polluted aquifers by goethite.
We also studied how splitting the carboxylic acid into carbonyl and hydroxy groups attached to two separate carbon atoms on the surfactant molecules affected adsorption to goethite. This gave greater exibility to the molecule, which therefore enhanced the interaction with the goethite surfaces, as the molecule can form interactions with the iron ions via the carbonyl group and hydrogen-bonds with the surface oxygen and hydroxide species. Accordingly, surfactants with the hydroxymethanamide or hydroxyethanal functional groups were able to adsorb more strongly to goethite surfaces and hence should be easier to separate from polluted aquifers than normal carboxylic acids.
Future work will focus on studying the effect of temperature through molecular dynamics simulations, as well as evaluating the adsorption energy of the organic surfactants on the mineral components of sand, to compare the capability of each iron wall component to collect the pollutants from contaminated aquifers.