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. 2018 Jan 31;19(1):44–52. doi: 10.1080/14686996.2017.1410055

Mechanistic insights into water adsorption and dissociation on amorphous Inline graphic-based catalysts

Kulbir Kaur Ghuman a,*
PMCID: PMC5795651  PMID: 29410712

Abstract

Despite having defects, amorphous titanium dioxide (aTiO2) have attracted significant scientific attention recently. Pristine, as well as various doped aTiO2 catalysts, have been proposed as the potential photocatalysts for hydrogen production. Taking one step further, in this work, the author investigated the molecular and dissociative adsorption of water on the surfaces of pristine and Fe2+ doped aTiO2 catalysts by using density functional theory with Hubbard energy correction (DFT+U). The adsorption energy calculations indicate that even though there is a relatively higher spatial distance between the adsorbed water molecule and the aTiO2 surface, pristine aTiO2 surface is capable of anchoring H2O molecule more strongly than the doped aTiO2 as well as the rutile (1 1 0) surface. Further, it was found that unlike water dissociation on crystalline TiO2 surfaces, water on pristine aTiO2 catalyst experience the dissociation barrier. However, this barrier reduces significantly when aTiO2 is doped with Fe2+, providing an alternative route for the development of an inexpensive and more abundant catalyst for water splitting.

Keywords: Amorphous titanium dioxide, doping, catalyst, hydrogen, surface reaction

Classification: 50 Energy Materials, 205 Catalyst, Photocatalyst, Photosynthesis

Graphical Abstract

Graphical abstract showing the reduction in water splitting barrier due to doping in amorphous TiO2, bringing the catalytic acivity of amorphous TiO2 close to crystalline TiO2.

graphic file with name TSTA_A_1410055_UF0001_OC.jpg

1. Introduction

Among various oxide semiconductor photocatalysts, crystalline forms of titanium dioxide (cTiO2) have attracted significant attention in last decades as promising photocatalysts due to its biological and chemical inertness, strong oxidizing power and long-term stability against photocorrosion and chemical corrosion [1,2]. Where many crystalline oxide surfaces [3] including cTiO2 surfaces [46] are extensively studied for their electronic structures, defect levels and polaron formation, amorphous TiO2 (aTiO2) despite having actual technical applications such as use as an active photocatalyst, a substrate, or a protection layer [79] waslacking many such investigations until recently. It is now well known that there is a possibility of using aTiO2 as an inexpensive and more abundant alternative to cTiO2 [10,11] which may lead to relatively simple and inexpensive technology in future.

Despite having qualitatively similar electronic structure as of cTiO2 [10,11], aTiO2 forms large localized bound state on several O and Ti atoms due to the strong electron interaction with the lattice distortion [10,12,13]. These localized states in aTiO2 leads to self-trapping of holes, excess electrons and excitons which play important roles in the radiation-induced processes [1416] such as water splitting. Moreover, very recentlymany studies showed that the photoactivity of aTiO2 can further be enhanced by doping it with suitable dopants [1723]. The synergetic role that the amorphousness and dopants play in the photoactivity of aTiO2 was attributed to the unique position of the midgap states, high self-trap energy, low mobility and weak chemical bonds of doped aTiO2 [24].

Inspite of these numerous studies proposing aTiO2-based catalysts for water splitting, the fundamental insights into the reaction pathway for water dissociation on aTiO2-based catalysts are still lacking. This motivated the author to analyse the associative and dissociative water adsorption on pristine and doped aTiO2 surfaces using first-principles based theoretical investigations. Since our recent study [24] clearly indicated that the visible light absorption of aTiO2 can be improved by doping it with Fe2+ due to its unique properties, the author have considered Fe2+ doped aTiO2 (Fe(II)-aTiO2) as a model for doped aTiO2 catalyst. Further in this work, the performance of aTiO2-based catalysts is also compared with cTiO2, by analysing water splitting on rutile (1 1 0) surface with the same level of theory.

2. Computational models and methods

The melt-quenching method was used to prepare aTiO2 models [12]. The properties of the prepared aTiO2-pagination models are in agreement with experimental and theoretical data available. The structural analysis of thesemodels suggests that local structural features of bulk cTiO2 are retained in aTiO2. In order to obtain the amorphous TiO2 surface in the present study, a vacuum of about 20 Å  is added in the z direction of 2×2×4 bulk supercell (96-atom model) [25]. For doped aTiO2 model, the author considered substitutional doping of a single Ti atom by one Fe atom and one O vacancy resulting into Fe(II) oxidation state with 3.125 at.% dopant concentration. The pristine aTiO2 model and the doped aTiO2 model indicating the positions of Fe atoms and O vacancy are shown in Figure 1. This doping level can be readily achieved for 3d transition metals in rutile TiO2 [26,27].

Figure 1.

Figure 1.

The (a) side and the (b) top view of 2×2×4 supercell of aTiO2. The (c) side and the (d) top view of 2 × 2 × 4 supercell of Fe(II)-aTiO2. Ti, O, Fe and O vacancy atoms are highlighted in grey, red, green, and blue, respectively.

The electronic characteristics of aTiO2 sample has been investigated using ab initio method. The plane wave pseudopotential approach, together with the Perdew–Burke–Ernzerhof [28] exchange–correlation functional, and Vanderbilt ultrasoft pseudopotentials [29] was utilized throughout. The kinetic energy cut-offs of 544 and 5440 eV were used for the smooth part of the electronic wavefunctions and augmented electron density, respectively. The Quantum-ESPRESSO code, PWSCF package [30], was used to perform the calculations. All calculations are spin polarized. The structures were relaxed by using a conjugate gradient minimization algorithm until the magnitude of residual Hellman–Feynman force on each atom was less than 10-2 Ry/Bohr. In all electronic density of states (DOS) and projected density of states (PDOS) plots a conventional Gaussian smearing of 0.007 Ry was utilized.

Appreciable underestimation of band gap and delocalization of d and f electrons are well-known limitations of DFT. Therefore, density functional theory with Hubbard energy correction (DFT+U) formalism was used in this study with U=4.2 eV applied to Ti 3d electrons and U=6.00 eV applied to Fe 3d electrons for analysing electronic properties of pristine and doped aTiO2. The value of U for Ti has been chosen not solely on the basis of band gap but also depending on the property of interest [31], which in the current study, is the photocatalytic behaviour of TiO2 that in-turn depends upon the position of band gap states and their effect on the electronic structure [32]. This value of U for Ti is consistent with theoretical investigations by Morgan et al. [33], who calculated it by fitting the peak positions for surface oxygen vacancies to experimental X-ray photoelectron spectroscopy data. Further the value of U for Fe is taken from Ref. [34] which showed that the DOS of FeO show characteristics similar to experiments [35] with U=6.0 eV. Lastly, in order to evaluate the minimum energy pathways (MEPs) and transition states (TSs) for the water splitting reaction and estimate the relative activation energy barriers faced during dissociation of H2O molecule, non-spin-polorized climbing image nudged elastic-band (CI-NEB) DFT calculations with 7 images [3638] were performed.

3. Results and discussion

First, the electronic properties of pristine aTiO2 and Fe(II)-aTiO2 surfaces were analysed and compared with the electronic properties of rutile (1 1 0) surface. Then the active sites for the adsorption of H2O, OH, and H species on pristine aTiO2 and Fe(II)-aTiO2 surfaces were investigated followed by the study of reaction mechanism for water splitting on them. Water splitting on rutile (1 1 0) surface was also analysed for comparison. One water molecule per unit cell was used for all the calculations.

3.1. Electronic properties of aTiO2, Fe(II)-aTiO2, rutile (1 1 0) surfaces

To understand the catalytic properties of amorphous and crystalline surfaces, the author first studied the electronic DOS and PDOS for the d electrons of Fe and Ti atoms and p electrons of O atoms for pristine aTiO2, Fe(II)-aTiO2, and rutile (1 1 0) surfaces. The DOS and PDOS are represented in Figure 2 for all the surfaces. It can be seen from Figure 2 that the magnitude of the Γ point electronic gap, defined as the difference between the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO), is about 2.2, 1.8, and 1.6 eV for pristine aTiO2, Fe(II)-aTiO2 and rutile (1 1 0) surfaces, respectively. Further, for all the surfaces the valence band mainly consists of the O 2p states and that the conduction band is dominated by Ti 3d states. In addition, the DOS analyses also reveals that there exist a midgap state for aTiO2 surface due to O 2p orbitals (Figure 2(a)). However, it disappears when aTiO2 is doped with Fe(II) (Figure 2 (b)). The midgap states can act as a recombination or a trapping center [24] and hence can decrease or increase the catalytic activity of aTiO2 surface accordingly. The band tail states for Fe(II)-aTiO2 surface however act as a trapping center and improve the photoactivity of Fe-aTiO2 by absorbing light in visible region as reported in our previous study [24].

Figure 2.

Figure 2.

Total density of states and the projected density of states on the p and d orbitals of (a) aTiO2, (b) Fe(II)-aTiO2 , and (c) rutile (1 1 0) surface models.

3.2. Adsorption energy calculation for H2O, OH and H species

The adsorption energies of H2O, OH and H species on the amorphous surfaces were calculated as

δHads=Etot-Ebare-Ead (1)

where Etot (Ebare) is the energy of the surface with (without) adsorbate and Ead is the energy of the isolated adsorbate species calculated in the same supercell. Hence, a negative δHads indicates stable adsorption whereas a positive value indicates unstable adsorption. The author also calculated the adsorption of H2O molecule and dissociated H2O on rutile (1 1 0) surface for comparison. Adsorption energies for the most stable site for all the surfaces are represented in Table 1.

Table 1.

Calculated structural parameters and adsorption energies of H2O, OH, and H for the most stable site on pristine aTiO2, Fe(II)-aTiO2 and rutile (1 1 0) surfaces. δHads (eV) represents the adsorption energy, h(Å) represents the vertical height of the H2O, OH and H species from the nearest surface atom, dO-H represents the OH bond lengths for OH and H2O molecules and αHOH represents the H–O–H angle for H2O molecule.

Most stable species Hads (eV) h(Å) dO-H αHOH
Pristine aTiO2 surface
H2O (on site Ti-6c) -1.072 3.519 1.055, 1.002 107.285
OH (on site Ti-4c) -4.199 1.838 0.976
H (on site a) -5.541 0.976
Fe(II)-aTiO2 surface
H2O (on site Fe-6c) -0.793 2.263 0.9978, 0.9878 104.716
OH (on site Fe-6c) -1.288 2.069 0.994
H (on site c) -4.807 0.977
Rutile (1 1 0) surface
H2O (on site Ti-5c) -0.9378 2.212 0.979, 0.979 109.775
OH(on site Ti5c)-H (on bidentate O) -8.503 1.822 (OH-surface), 0.973 (H-surface) 0.980 (O–H)

As a first step, author has investigated the possibility of H2O, H and OH adsorption on the pristine aTiO2 surface. For H2O and OH adsorption a total of three surface Ti atom sites based on their different coordination number were identified: fourfold coordinated Ti (Ti-4c), fivefold coordinated Ti (Ti-5c) and sixfold coordinated Ti (Ti-6c). For H adsorption, all the O atom sites neighbouring to these three surface Ti atoms were investigated. The three sites for H2O and OH adsorption and the ten sites for H adsorption are highlighted in Figure 3 in blue and yellow, respectively. While it is possible that the other adsorption sites exist on the aTiO2 surface, the sites that author identified are enough to provide an understanding of the relative strength of binding and the spread of adsorption energies.

Figure 3.

Figure 3.

The aTiO2 surface indicating the absorption sites for H2O, OH and H species. Adsorption of H2O and OH was investigated by placing them on the top of the Ti atoms indicated in blue and adsorption of H was investigated by placing it on the top of oxygen atoms indicated in yellow. Rest of the Ti and O atoms are highlighted in grey and red, respectively.

By analysing the interaction of H2O molecule on the three adsorption sites, surprisingly, it was found that binding of H2O with Ti-6c (δHads=-1.07 eV) is energetically preferred over under-coordinated Ti-5c (δHads=-0.24 eV) and Ti-4c sites (δHads=-0.30 eV). This result is contrary to the H2O adsorption on cTiO2 surfaces [39]. On crystalline surfaces water prefers to adsorb on under-coordinated site. To explain this, aTiO2 surfaces before and after water adsorption on all the sites were analysed. It was found that the atoms neighbouring to Ti-6c rearrange themselves after water adsorbs on this site (Figure 4). For instance, the O atom (circled) neighbouring to Ti-6c site and showing charge accumulation (represented by spin density diagram, Figure 5(a)) gets rearranged after water adsorption on Ti-6c site. However, such behaviour is absent when H2O is adsorbed on Ti-5c or Ti-4c site of aTiO2 surface. This reconstruction of the surface due to the presence of water in the vicinity of Ti-6c site is probably the reason H2O is more stable on Ti-6c site compared to Ti-5c and Ti-4c site of aTiO2 surface.

Figure 4.

Figure 4.

Top view representation of H2O adsorption on aTiO2 surface (a) before, and (b) after optimization. Ti and O atoms are represented by grey, and red balls, respectively.

Figure 5.

Figure 5.

The spin density (ρρ) for (a) undoped aTiO2, and (b) Fe(II)-aTiO2 surface models. The isovalue used for spin density plots is 0.005 eÅ-3. Ti, Fe, and O atoms are represented by grey, green and red balls, respectively. The spin density isosurface is represented in yellow color.

By comparing water adsorption on pristine aTiO2 with water adsorption on rutile (1 1 0) surface (Table 1), it is clear that water is slightly more stable on sixfold coordinated Ti atom of aTiO2 surface then on fivefold coordinated Ti atom of rutile (1 1 0) surface (Table 1), with a difference of about 0.13 eV in their adsorption energies. Further, the bond distance analysis shows that water adsorbs on the Ti-6c site with a 3.52 Å distance between the surface Ti atom and the O atom of water, which is higher than the existing experimental measurements (2.21±0.02 Å) [40] as well as our theoretical calculations for water adsorption on rutile (1 1 0) surface. The strongest adsorption energy and higher distance of water from the aTiO2 surface indicate that aTiO2 can be used to achieve highly stable anchoring of water contrary to crystalline surface on which water is comparatively less stable but chemically bonded. Furthermore, after dissociation of water on aTiO2 surface, the most stable configration is the one in which the OH group binds to the fourfold coordinated Ti atom while the remaining H atom binds with the O atom coordinated to fourfold Ti. This indicates that even though the molecular adsorption of water is more probable at sixfold coordinated Ti atom, the dissociative adsorption of water might take place at under-coordinated surface Ti atom as on cTiO2 catalyst.

In order to understand water dissociation on Fe(II)-aTiO2 surface author then optimized three different configurations representing Fe(II)-aTiO2 surface: Fe(II) doped at Ti-4c site (Fe(II)-4c-aTiO2), Fe(II) doped at Ti-5c site (Fe(II)-5c-aTiO2) and Fe(II) doped at Ti-6c site (Fe(II)-6c-aTiO2) (Figure 3). In all these surface +2 oxidation state of Fe is achieved by substituting one Ti and one O atom with one Fe atom. Out of these three surfaces Fe(II)-6c-aTiO2 was the most stable surface with total energy difference of -1.37 and -1.13 eV from Fe(II)-5c-aTiO2 and Fe(II)-4c-aTiO2 surfaces, respectively. Further, the spin density plot for the doped system (Figure 5(b)) shows that the spin densities are strongly localized on the Fe atom and O sites in the nearest-neighbour position relative to the Fe dopant.

Next, water adsorption on the most stable, Fe(II)-6c-aTiO2, surface was analysed. The adsorption of H2O molecule was analysed by placing it on the top of Fe atom, resulting in the binding energy of -0.79 eV. Comparing with pristine aTiO2 and rutile (1 1 0) surfaces, H2O is energetically least stable on Fe(II)-aTiO2 surface. However, the distance (2.26 Å) between the Fe atom of the surface and the O atom of the water molecule is similar to the distance (2.21 Å) of adsorbed water on rutile (1 1 0) surface. Further, the author performed calculations for OH and H adsorption on Fe(II)-6c-aTiO2 surface by placing OH on the top of Fe atom and H on top of four different O atom sites indicated by g, c, d and e in Figure 3. As for H2O adsorption, OH and H adsorption is also less stable when compared to OH and H adsorption on pristine aTiO2 surface. The binding energy and vertical distance analysis indicate the Fe(II)-aTiO2 surface might behave similarly to cTiO2 surfaces for water adsorption and dissociation.

3.3. Reaction pathway for water dissociation

In order to gain an atomic scale understanding of the fundamental reaction pathway and get a sense of the relative activation energy barriers faced during water dissociation, CI-NEB calculations with 7 images were performed for all the surfaces. The preliminary results for the MEP and the TS energies for water dissociation on aTiO2, Fe(II)-aTiO2 and rutile (1 1 0) surfaces are represented in Figures 68, respectively, along with the initial state (IS), TS, and final state (FS) geometries. The chosen TS configration corresponds to the highest energy point along the MEP. The activation energy barrier, Ea, is calculated as Ea = ETS – EIS, and the reaction energy, ΔE is calculated as ΔE = EFS – EIS, where ETS is the energy of the TS, EIS is the energy of IS and EFS is the energy of the FS. The negative ΔE indicates an exothermic reaction and a positive ΔE represents an endothermic one. Based on the most stable water adsorption sites (Table 1), Ti-4c, Ti-6c and Ti-5c sites were chosen for water dissociation on aTiO2, Fe-aTiO2 and rutile (1 1 0) surfaces, respectively. The IS corresponds to surface with chemically adsorbed H2O molecule, and the FS corresponds to the surfaces having dissociated water molecule with OH and H species adsorbed on the surface.

Figure 6.

Figure 6.

Reaction pathway and reaction barrier for dissociation of single water molecule on pristine aTiO2 surface from CI-NEB simulation. Ti, O, and H atoms are highlighted in grey, red, and light blue, respectively.

Figure 8.

Figure 8.

Reaction pathway and reaction barrier of single water molecule dissociation on rutile (1 1 0) surface from CI-NEB simulation. Ti, O, and H atoms are highlighted in grey, red, and light blue, respectively.

The reaction path was found to have similar TSs for both Fe(II)-aTiO2 (Figure 7), and rutile (1 1 0) (Figure 8) surfaces [39], where the H2O molecule gets distorted resulting in elongated OH–H bond. However, for pristine aTiO2 surface TS consists of dissociated H2O molecule with OH and H group bonded to the surface Ti and O atoms, respectively. Furthermore, our calculations of reaction energy, ΔE, indicate that water dissociation is exothermic on aTiO2 (ΔE=-3.09 eV) and Fe(II)-aTiO2 (ΔE=-1.27 eV) surfaces just like that on rutile (1 1 0) (ΔE=-0.84) surface and other cTiO2 surfaces [41]. It should also be noted that, water splitting on Fe(II)-aTiO2 surface is less exothermic than on aTiO2 surface and more exothermic than on cTiO2 surfaces. The negative reaction energies for aTiO2-based catalysts point towards favorable kinetics.

Figure 7.

Figure 7.

Reaction pathway and reaction barrier of single water molecule dissociation on Fe(II)-aTiO2 surface from CI-NEB simulation. Ti, O, Fe and H atoms are highlighted in grey, red, green and light blue, respectively.

Further, the H2O dissociation is spontaneous on the rutile (1 1 0) surface but faces certain barrier for dissociation on amorphous surfaces. Activation energy barrier (Ea) analyses shows that water dissociation on pristine aTiO2 and Fe(II)-aTiO2 surfaces has Ea of 0.92 and 0.18 eV, making Fe(II)-aTiO2 surface energetically more favourable for water splitting compared to pristine aTiO2 surface. The smaller activation barrier for water dissociation on the Fe(II)-aTiO2 surface is due to its unique band structure Figure 2. The tail states present in Fe(II)-aTiO2 band structure (Figure 2(b)) might lead to better hybridization of energy states of the H2O molecule with the energy states of Fe(II)-aTiO2 surface than the energy states of the pristine aTiO2 surface. In other words, the existence of these resonating energy states in Fe(II)-aTiO2 catalyst might make it easier for the H atom of the H2O molecule to bind with the neighbouring O atom of the surface upon H2O molecule interaction with the Fe-aTiO2 surface.

4. Conclusions

In this study, DFT+U analysis was conducted for providing the mechanistic insights into the water splitting reaction on the aTiO2-based catalysts. Our analysis showed that in contrast to crystalline surfaces H2O molecule tends to be more stable on sixfold coordinated Ti site then on under-coordinated sites of aTiO2 surface. Further, the interaction between H2O and sixfold Ti site of aTiO2 surface is stronger (δHads=-1.07 eV) than the interaction between H2O and fivefold Ti site of rutile (1 1 0) surface (δHads=-0.94 eV). The higher H2O stability on the pristine aTiO2 surface could be attributed to the difference in the surface states of the adsorption sites where the spatial arrangement of the O atoms with reference to the Ti atom plays a major role. Furthermore, the density of states analyses and the CI-NEB analysis conducted in this study points towards better photocatalytic activity of doped aTiO2 as compared to pristine aTiO2 for water splitting. Overall, the present study reinforces the usefulness of doping in amorphous TiO2 catalysts providing an alternative path to prepare an efficient and cost-effective visible light photocatalysts.

Acknowledgements

This project was supported by JSPS and NSF under the JSPS-NSF Partnerships for International Research and Education (PIRE).

Funding Statement

This work was supported by the International Institute for Carbon Neutral Energy Research (WPI-I2CNER), sponsored by the World Premier International Research Center Initiative (WPI), MEXT, Japan. The computations were performed by using Research Center for Computational Science,Okazaki, Japan and the HPC supercomputers at International Institute for Carbon Neutral Energy Research (I2CNER), Kyushu University, Japan.

Disclosure statement

No potential conflict of interest was reported by the authors.

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