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A mechanistic understanding of uranyl ion complexation on montmorillonite edges: a combined first principles molecular dynamics-surface complexation modeling approach Chi Zhang, Xiandong Liu, Ruth M. Tinnacher, and Christophe Tournassat Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.8b02504 • Publication Date (Web): 27 Jun 2018 Downloaded from http://pubs.acs.org on June 28, 2018
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Environmental Science & Technology
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A mechanistic understanding of uranyl ion
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complexation on montmorillonite edges: a combined
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first principles molecular dynamics-surface
4
complexation modeling approach
5
Chi Zhang 1, Xiandong Liu 1*, Ruth M. Tinnacher2, Christophe Tournassat 3,4,5 * 1
6 7 8
State Key Laboratory for Mineral Deposits Research, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210093, P.R. China
2
Department of Chemistry & Biochemistry, California State University East Bay, Hayward, CA
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94542, USA 3
10 4
11 12
Université d’Orléans−CNRS/INSU−BRGM, UMR 7327 Institut des Sciences de la Terre d’Orléans (ISTO), France
5
13 14 15 16
BRGM, Orléans, 45060, France
Energy Geosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
*
Corresponding author:
[email protected],
[email protected].
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Abstract
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Systematic first principles molecular dynamics (FPMD) simulations were carried out to study
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the structures, free energies, and acidity constants of UO22+ surface complexes on
24
montmorillonite in order to elucidate the surface complexation mechanisms of the uranyl ion
25
(UO22+) on clay mineral edges at the atomic scale. Four representative complexing sites were
26
investigated, that is, ≡Al(OH)2 and ≡AlOHSiO on the (010) surface, and ≡AlOHOa and ≡SiOOa
27
on the (110) surface. The results show that uranyl ions form bidentate complexes on these sites.
28
All calculated binding free energies for these complexes are very similar. These bidentate
29
complexes can be hydrolyzed and their corresponding derived pKa values (around 5.0 and 9.0 for
30
pKa1 and pKa2respectively) indicate that UO2(OH)+ and UO2(OH)2 surface groups are the
31
dominant surface species in the environmental pH range. The OH groups of UO2(OH)2 surface
32
complexes can act as complexing sites for subsequent metals. Additional simulations showed
33
that such multinuclear adsorption is feasible and can be important at high pH. Furthermore,
34
FPMD simulation results served as input parameters for an electrostatic thermodynamic surface
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complexation model (SCM) that adequately reproduced adsorption data from the literature.
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Overall, this study provides an improved understanding of UO22+ complexation on clay mineral
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edges.
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1. INTRODUCTION
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Uranium is an important radionuclide in natural environments and nuclear waste 1. In the
40
recent decades, due to the activities of mining and milling at uranium mines, considerable
41
amounts of uranium has been leached into subsurface systems, which will continuously
42
contaminate the water and soil in the vicinity of these sites 2.
43
Adsorption of radionuclides onto mineral surfaces is a key process affecting their migration in
44
the environment 3-5. Clay minerals usually play significant roles in the transport and retention of
45
metal cations in soils and aquifers because of their high adsorption capacity and high abundance
46
in nature 6-9. Clay materials have also been foreseen as engineered barriers in future repositories.
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In addition, argillaceous rocks are the potential host rocks for deep geological disposal sites in
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some countries including France, Belgium, and Switzerland
49
understanding of the adsorption of uranyl on clay minerals is not only helpful for predicting the
50
environmental behavior of radionuclides but also important for the long-term risk assessment of
51
nuclear waste disposal in deep geological disposal repository sites.
10, 11
. Therefore, a mechanistic
52
Extensive experimental studies using techniques such as batch sorption experiments, EXAFS
53
(extended X-ray absorption fine structure), and TRLFS (time resolved laser-induced
54
fluorescence spectroscopy) measurements have been conducted to investigate the surface
55
complexation of uranyl on clay minerals
56
form outer-sphere complexes (i.e., by cation exchange in the interlayer space) at lower pH and
57
ionic strength, and inner-sphere complexes (i.e., complexation on the edge surfaces) at higher pH.
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It has also been proposed that at high pH or U(VI) concentrations, polynuclear adsorption or
59
precipitation is possible 30, 31.
12-29
. These studies have confirmed that uranyl ions
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Among the EXAFS studies, Hennig et al. 25 proposed that UO22+ forms bidentate complexes at 23
61
aluminol groups; Křepelová et al.
62
formation of edge-sharing complexes with Al octahedra and/or Si tetrahedra. Schlegel and
63
Descostes
64
of edge surfaces. Furthermore, it was proposed that Si tetrahedra are possible binding sites, as
65
well as Al octahedra, on montmorillonite edges
66
complexing sites and identified that bidentate complexes are the major surface species.
27
ascribed the uranyl species adsorbed on kaolinite to the
concluded that UO22+ forms mononuclear bidentate complexes on the Al octahedra
15
. These studies have suggested possible
67
Molecular simulation has been proven an effective tool for probing the chemical processes on
68
mineral-water interfaces 32-40. Quantum chemistry techniques have been used to calculate uranyl
69
adsorption on clay edges 41-44. For example, by using DFT-based static calculations, the possible
70
complexing sites have been revealed: ≡AlOHOH and ≡AlOHSiO on (010) edges and ≡AlOHOa
71
(Oa means the apical O linking both Al and Si), ≡AlOHSiO and ≡SiOOa on (110) edges
72
These studies employed geometry optimization in vacuum or just including several H2O
73
molecules, which oversimplified solvent effects and thus could not accurately estimate
74
adsorption free energies.
42
.
75
In the past decades, surface complexation models (SCMs) based on macroscopic sorption
76
experiments have been exploited to interpret and model the adsorption of UO22+ on clay minerals
77
over a wide range of experimental conditions
78
to some extent, rests on the specific parameters used, such as site types and numbers, surface
79
potential models, deprotonation constants, and binding constants
80
Fernandes et al.
81
Cation Exchange (2SPNE SC/CE) model to describe uranyl sorption on montmorillonite in the
82
absence and presence of CO32- . More recently, Tournassat et al.
15
15, 22, 45-48
. The accuracy of such modeling results,
18
. For instance, Marques
applied the Two Site Protolysis Non-Electrostatic Surface Complexation and
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developed a new SCM for
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montmorillonite edge surfaces taking into account the spillover effect of the electrostatic
84
potential at the basal surface on the electrostatic potential at the edge surfaces. With this model,
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Tournassat et al.
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single site and three adsorption reactions that correspond to the hydrolysis of surface complexed
87
UO22+ with increasing pH
88
could also be more than one site with those sites possessing similar surface complexation
89
energies, since SCMs alone cannot discriminate sites with similar affinities.
50
found that experimental adsorption data for UO22+ can be well fitted by a
50
. The single-site of this model could be really one type of site, but
90
On the basis of the above-mentioned studies, one can summarize that multiple binding sites
91
exist on edge surfaces including octahedral and tetrahedral positions. However, the relative
92
stabilities of the complexes on different sites have not been revealed. Surface complexed UO22+
93
is very likely to become hydrolyzed with increasing pH (e.g., UO22+ has a pKa1 of ~5.6 in water
94
51
), but the pH-dependent speciation of adsorbed UO22+ is still unclear.
95
In this study, we carried out first principles molecular dynamics (FPMD) simulations
96
systematically to investigate the complexing structures and free energies of UO22+ ions on
97
montmorillonite edge surfaces, as well as the hydrolysis constants of montmorillonite-UO22+
98
surface complexes. This atomic-level information was then implemented in a SCM for
99
montmorillonite edge surface sites. The overall objective of this study was to test the feasibility
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of combining atomistic simulations with thermodynamic modeling in order to build a physically-
101
grounded methodology for future adsorption modeling studies.
102 103 104
2. METHOD 2.1. FPMD models
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The (010) and (110) surface models were taken from our previous studies
52, 53
. The unit cell
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formula of the clay used was Li0.5[Si8] [Al3.5Mg0.5]O20(OH)4. Two unit cells were contained in
107
the clay framework (Fig. 1). Therefore, one Mg for Al substitution was in the octahedral sheet. A
108
lithium counterion was placed in the interlayer for compensating the negative charge of the clay
109
framework. Li+ was selected because of its lower computational cost compared to Na+ and K+.
110
All of the surface models were placed in a 3D periodically repeated box (10.36Å×28Å×12Å)
111
with a solution region of 18 Å. Ten water molecules were inserted into the interlayer to create a
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one-layer hydrate, and 67 water molecules were placed in the solution region, which
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approximately reproduced the density of bulk water at room temperature. Initially, UO22+ was
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placed at the complexing sites according to previous static density functional theory (DFT)
115
calculations42. Four complexing sites were investigated, that is, ≡Al(OH)2 and ≡AlOHSiO on the
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(010) edge and ≡AlOHOa and ≡SiOOa (Oa means the apical O linking Al and Si) on the (110)
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edge. For each site configuration, the overall charge is +1. For the simulation of multinuclear
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complexes, two UO22+ were placed in the systems. The first UO22+ is adsorbed on the ≡AlOHOH
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site; the second UO22+ is adsorbed on the two OH groups of the first one created through
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hydrolysis. (Fig. 1B). The overall charge of the multinuclear complex system is +1. A uniform
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background charge was added to neutralize the overall system charge.54
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Fig. 1. The model used for uranyl complexation on the (010) edge surface. A: Model for
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mononuclear complex. B: Model for binuclear complex. The snapshots are derived from
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simulations. Si = yellow; Al = purple; Mg = green; O = red; H = white; U = blue; Li = cyan.
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2.2. FPMD setups
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The CP2K/QUICKSTEP package
55
was employed to carry out all calculations in this study.
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In QUICKSTEP, electronic structures were calculated with density functional theory (DFT)
132
implemented by using a hybrid Gaussian plane wave approach (GPW)
133
Ernzerhof (PBE) functional
134
applied. Double-zeta valence polarized (DZVP) basis sets
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Al, Si, and U. The plane wave density cutoff was set to be 400 Ry. Our previous study has
57
56
. The Perdew–Burke-
and analytic Goedecker-Teter-Hutter pseudopotentials 59
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were
were employed for H, Li, O, Mg,
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shown that this setup reproduces the pKa of the reaction UO22+ + H2O = UO2(OH)+ + H+ with an
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accuracy of one unit 60.
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Born-Oppenheimer molecular dynamics (BOMD) simulations were performed with a wave
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function optimization tolerance of 10-6 and a time step of 0.5 fs. The temperature was controlled
140
at 330 K with the Nosé-Hoover chain thermostat. This elevated temperature was intended to
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avoid the glassy behavior of Generalized Gradient Approximation (GGA) liquid water at lower
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temperature.61 For each simulation, a production run was carried out for approximately 5.0-20.0
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ps after an equilibration stage of at least 2.0 ps.
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2.3. Method of constraint
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To quantitatively estimate the stability of each surface complex, a series of constrained FPMD
146
simulations were conducted to calculate their respective desorption free energies. In this method,
147
the free energy change (∆F) was computed by integrating the mean force (f) along the reaction
148
coordinate (Q) according to the thermodynamic integration relation 62, 63.
149
∆F (Q) = −∫ dQ' f (Q')
150
(1)
Q
Q0
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For the (010) surface, in the free energy calculations of desorption from ≡Al(OH)2, the
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coordination number (CN) of U with respect to the O of the two ≡AlOH groups was chosen as Q.
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For the desorption from ≡AlOHSiO, we divided this U(VI) desorption process into two steps: (1)
154
the transformation from a bidentate complex on ≡AlOHSiO to a monodentate complex on ≡SiO
155
and (2) from a monodentate complex on ≡SiO to an outer-sphere complex. In step (1), the
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distance between U and the O of ≡AlOH was selected as Q; in step (2), the distance between U
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and the O of ≡SiO was chosen as Q.
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For the (110) surface, in the free energy calculations of U(VI) complexation on ≡AlOHOa, the
159
desorption was controlled by selecting the Al-U distance as Q. The desorption from ≡SiOOa site
160
was divided into two steps: (1) from a bidentate complex on ≡SiOOa to a monodenate complex
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on ≡SiO by choosing the ≡Oa-U distance as Q and (2) from a monodentate complex to outer-
162
sphere complex by choosing the distance between U and the O of the ≡SiO group as Q.
163
164
The CN was determined by:
n=∑ i
165
1 − (ri / rc )12 1 − (ri / rc ) 24
(2)
Here n, denotes the CN, ri, the distance between U and the O of ≡AlOH groups, and rc the
166
cutoff value. In this study, rc was set to be 3.1 Å.
167
2.4. Acidity constant calculations
168 169
170
The acidity constants values (Ka) of the four uranyl surface complexes were evaluated for the surface reactions: ≡UO2(H2O)3+
=
≡UO2(H2O)2(OH) + H+
Ka1
(3)
≡UO2(H2O)2(OH)
=
≡UO2(H2O)(OH)2- + H+
Ka2
(4)
≡UO2(H2O)(OH)2-
=
≡UO2 (OH)32- + H+
Ka3
(5)
where ≡ depicts a surface site, and with:
ܭଵ = −logଵ ܭଵ = − logଵ
൫ୌశ ൯ሺ≡మ ሺୌమ )మ ሺୌ)) ൫≡మ ሺୌమ )శ య൯
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ܭଶ = −logଵ ܭଶ = − logଵ
൫ୌశ ൯ሺ≡మ ሺୌమ )ሺୌ)ష మ)
(7)
ሺ≡మ ሺୌమ )మ ሺୌ)) ൫ୌశ ൯൫≡మ ሺୌ)మష య ൯
ܭଷ = −logଵ ܭଷ = − logଵ ሺ≡
(8)
ష మ ሺୌమ )ሺୌ)మ )
171
where values in brackets represent activities. The pKa values were calculated through the half-
172
reaction scheme of vertical energy gap method 64, 65. This technique has been validated on many
173
molecular acids with an accuracy of 2 pKa units
174
mineral surface groups of oxides
175
Supplementary Data 1 in the Supplementary Information (SI) for the details of the method.
176
2.5. Surface complexation modeling
177
68, 69
64-67
. It has also been applied successfully to
, hydroxides
70
, and clay minerals
53, 71, 72
. See
An in-house version of PHREEQC, which was modified to handle the spillover effect of the 49, 50
178
basal surface potential on the edge surface potential
179
complexation calculations, together with the database THERMOCHIMIE v.9b0 for
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thermodynamic parameters of the solute species 73. This database is available in various formats
181
including the PHREEQC format at the following address: https://www.thermochimie-tdb.com/.
182 183
, was used to carry out the surface
3. RESULTS AND DISCUSSION 3.1. Structures and free energies
184
The structures of UO22+ complexes adsorbed on edge sites are illustrated in Fig. 2. It can be
185
seen that UO22+ formed bidentate complexes on the ≡Al(OH)2 and ≡AlOHSiO sites of the (010)
186
surface and ≡AlOHOa and on the ≡SiOOa site of the (110) surface.
187
For the (010) edge, ≡Al(OH)2-UO2 has two equivalent U-O bonds with an average bond
188
length of 2.37 Å (Fig. 2A). For the complex on the ≡AlOHSiO site, the bond lengths of ≡AlOH-
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UO2 and ≡SiO-UO2 are 2.48 Å and 2.25 Å, respectively (Fig. 2B). For the (110) edge, in the
190
≡AlOHOa-UO2 complex , the bond length between UO22+ and ≡AlOH is 2.33 Å and ≡Oa-UO2
191
has a bond length of 2.50 Å (Fig. 2C). This complex has similar bond lengths to ≡AlOHSiO-
192
UO2(H2O)3 on the (010) surface. For the complex on ≡SiOOa, the bond lengths of ≡SiO-UO2
193
and ≡Oa-UO2 are 2.25 Å and 2.79 Å, respectively (Fig. 2D). The latter is longer than the ≡Oa-
194
UO2 bond in ≡AlOHOa-UO2.
195
In experiments, it is difficult to assign the obtained U-Al/Si distances to explicit sites because
196
the derived structure is the average of multiple scattering, which as a result can cause
197
considerable uncertainty. The distances between U and their closest Al/Si neighbors obtained
198
from our calculations and previous DFT static calculations
199
(see values in Fig. 2). It can be seen that each distance agrees with its counterpart to within 0.1 Å.
200
Among the available spectroscopic studies of UO2-montmorillonite systems, Hennig et al.
201
detected a U-Al pair at 3.40-3.44 Å; Schlegel and Descostes 27 found an atomic shell of U-Al/Si
202
at 3.31 Å; the EXAFS measurements by Fernandes et al. 15 resolved two shells: one Si/Al shell at
203
3.09 Å and the other at 3.29 Å. These experimentally measured distances can be divided into two
204
categories of values: one is at ~3.1 Å and the other between 3.29 Å and 3.44 Å. Our FPMD-
205
derived U-Al/Si distances also fall into two regions, 3.17 Å and ~3.47 Å-3.62 Å, which roughly
206
correspond to the two experimental ranges.
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are also provided for comparison
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Fig. 2. The structures of uranyl surface complexes on the (010) (left figure) and (110) (right
209
figure) edge sites. For clarity, solvent water molecules and interlayer Li+ are hidden. All bond
210
lengths and distances are in Å. The values in parenthesis are the counterpart distances from DFT
211
static calculations.42
212 213
Figure 3 provides the calculated desorption free-energy curves for UO22+ ions. The details of
214
the desorption processes are described in the SI (Supplementary Data 2). The corresponding
215
values are collected in Table 1. The free energies on all of the investigated sites are very close
216
(within 1.7 kcal/mol), which means that the four complexes have very similar thermodynamic
217
stability.
218
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Fig. 3. The desorption free-energy profiles of UO22+ complexing on edge surface sites. Lines
221
added for improved visualization. In B and D, the offset in x-axis refers to each of the two steps.
222
CN in A means the coordination number of U with respect to the two O of Al(OH)2. Distance in
223
B means the distance between U and the O of AlOH (2.5-3.9Å for step 1) and between U and the
224
O of SiO (2.3-3.1Å for step 2), respectively. Distance in C means the distance between U and the
225
Al of AlOHOa. Distance in D means the distance between U and Oa (2.8-4.0Å for step 1) and
226
between U and the O of SiO (2.3-3.0Å for step 2), respectively.
227
Table 1. Desorption free-energy values of uranyl from edge surface sites.
Surface 010
Site
∆F (kcal/mol)
≡Al(OH)2
21.5±1.7
≡AlOHSiO
21.1±2.4
≡AlOHOa
20.0±1.5
≡SiOOa
19.8±1.3
110
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3.2. Complexation mechanism of uranyl ion The simulations show that uranyl ions form bidentate complexes on edge sites, which is consistent with the conclusions derived from spectroscopic studies 15, 25, 27.
232
Due to the relatively large cross-sectional area of the UO22+ ion, adsorbed UO22+ influences
233
the availability of neighboring sites. For instance, as shown in Fig. 2A, the UO22+ adsorbed on
234
the ≡Al(OH)2 site of the (010) surface has occupied the octahedral position, and this will prevent
235
complexation on the ≡AlOHSiO site in the same unit cell. Similarly, for the (110) surface, the
236
adsorption on the ≡AlOHOa site will prevent any binding to the ≡SiOOa site in the same unit
237
cell (see Fig. 2C). Likewise, Fig. 2B and Fig. 2D also clearly show that the UO22+ on these sites
238
will prevent complexation reactions on neighboring sites. This site limitation is in sharp contrast
239
with transition metal binding. For example, as shown in our previous simulation studies on Cd2+
240
and Ni2+ binding74-76, each unit cell can adsorb two Cd2+ or Ni2+ ions 76 but only one UO22+ ion.
241
It is very likely that this steric site limitation is also relevant for other actinyl species.
242
3.3. pKa values and surface speciation
243
Table 2. pKa values of UO22+ complexes on (010) and (110) edge sites according to FPMD
244
results. Surface complexes
pKa1
pKa2
pKa3
[010]≡Al(OH)2-UO2(H2O)3+
5.8±0.8
9.9±1.4
10.9±0.8
[010]≡AlOHSiO-UO2(H2O)3+
4.6±1.0
8.6±0.7
10.1±1.0
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[110]≡AlOHOa-UO2(H2O)3+
5.8±1.7
9.7±2.0
-
[110]≡SiOOa-UO2(H2O)3+
5.5±1.5
9.0±2.0
-
245 246
The obtained energy gaps and free energy changes of uranyl complexes are listed in the SI
247
(Table S2), and the calculated pKa values are summarized in Table 2. It is clear that the four
248
complexes have very similar pKa values: all pKa1 and pKa2 values are about 5 and 9, respectively.
249
The pKa3 values calculated for (010) are also similar (values higher than 10). It can therefore be
250
inferred that the complexes on the (110) edge should also have similarly high pKa3 values. In
251
aqueous solution, pKa1, pKa2, and pKa3 values are 5.3, 6.9, and 8.1, respectively 77. So the surface
252
complexation of UO2+2 has little effect on the pKa1 value, but slightly increases the pKa2 and
253
pKa3 values.
254
As the amount of UO2(OH)+ and UO2(OH)2 groups gradually accumulate at clay-water
255
interfaces, these OH groups can serve as complexing sites for other UO22+ ions. This makes
256
polynuclear complexation and even surface-enhanced precipitation possible. Additional
257
simulations showed that the ≡Al(OH)2-UO2(OH)2 complex can adsorb a second UO22+ ion by
258
forming a binuclear complex (see Fig. 4). The U-U distance in this complex derived from a
259
trajectory of 30 ps is 3.92 Å, matching well with the experimentally obtained value by EXAFS at
260
pH 9.7 for the UO2-gibbsite system (~3.9 Å) 31.
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Fig. 4. Structure of the binuclear complex on the (010) edge.
263
3.4. Implications for SCM of U(VI) adsorption on montmorillonite edge surfaces
264
The FPMD results can be further used to constrain a SCM, which is necessary to accurately
265
predict uranium mobility in clay-rich environments. A SCM makes it possible to capture the
266
complex uranium solution and surface speciation, which allows the prediction of changes in
267
adsorption and desorption as a function of chemical solution conditions over time and space.
268
Recently, Tournassat et al. 50 published a SCM for montmorillonite that specifically accounted
269
for the spillover effect that takes place on montmorillonite edge surfaces due to the interaction of
270
its electrostatic potential with that of the neighboring basal surfaces. The consideration of this
271
spill-over effect is necessary to consistently simulate the best acid-base titration data available
272
for montmorillonite, and more importantly, to reproduce the absence of a point of zero salt effect
273
or isoelectric point in experimental potentiometric titration data
274
describing edge surface protonation and deprotonation reactions was obtained from acidity
275
constant values calculated in our previous FPMD work
276
to a charge / potential relationship that is specific to montmorillonite edge surfaces and that takes
277
into account the spillover effect 49. No fitted parameters were necessary for this part of the SCM.
53, 71, 78
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49
. The set of parameters
. These parameters were coupled
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U(VI) adsorption data were then adequately described over a wide range of pH, ionic strength
279
and dissolved inorganic carbon (DIC) concentration conditions with the addition of one uranyl
280
adsorption reaction and three hydrolysis reactions 50. The parameters of this adsorption model are
281
given in Supplementary Data 3 and 4 in the SI, together with PHREEQC input files, which allow
282
to run the model for montmorillonite particles dispersed in NaCl electrolyte and in the absence or
283
presence of dissolved inorganic carbon. An example U(VI) adsorption curve as a function of pH
284
is also provided, which shows the relative contributions of the three U(VI) surface species
285
(Figure S3 in the SI).
286
In this new study, we will show how FPMD simulation results can help to (1) constrain the
287
values taken by the parameters in the SCM, especially the hydrolysis reactions, and (2) infer new
288
conclusions concerning the main mechanisms leading to U(VI) retention on montmorillonite
289
surfaces (nature of the adsorbing surface site; U(VI) polymerization at the surface).
290
In the SCM of Tournassat et al.49, 50, one edge surface functional group corresponds to the
291
combination of one octahedral and two tetrahedral cations together with their associated OH
292
groups. With this scheme it is possible to define surface complexation reactions that correspond
293
to the reactions probed with FPMD calculations, i.e. U(VI) adsorption reaction on (010) and
294
(110) edge surfaces and hydroxylation of U(VI) surface complexes. Unfortunately, the binding
295
free energy values computed with FPMD calculations (Table 1) cannot directly be used to
296
determine surface complexation reaction constants because, for such a conversion, the free
297
energy profile needs to be calculated from inner-sphere adsorption to a completely solvated state
298
in bulk solution 79. Such calculations are currently hindered by the expensive computational cost
299
of the FPMD technique. Hence, the present study just focuses on the transformation from inner-
300
sphere to outer-sphere complexes. In addition, the adsorption energies calculated from FPMD
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relate to adsorption reactions on four different sites having the same formal charge, i.e. -1, before
302
U(VI) adsorption. Consequently, the computed U(VI) adsorption energy must be corrected for
303
differences in energy required to meet these site charge conditions as a function of adsorption
304
site configurations. The maximum number of H+ complexed to each of the functional sites is 4,
305
and the functional site charge is +1 if no isomorphic substitutions are present. The site can thus
306
be depicted as ≡SiteOH4+. U(VI) adsorption reactions were thus defined for each site:
307
≡SiteOH4+ + UO22+ = ≡SiteOH2UO2+ + 2 H+
308
The types of groups bearing the two remaining H in ≡SiteOH2UO2+ depend on the nature of
309
the complexing site. In the case of configuration A: ≡Al(OH)2 on the (010) surface (see Fig. 2),
310
the two Si-OH groups remain protonated. In the case of configuration B: ≡AlOHSiO on the (010)
311
surface, only one Si-OH group remains protonated and the Al-(OH)2 group remains singly
312
protonated. The FPMD calculation results correspond to the reaction:
313
≡SiteOH2- + UO22+ = ≡SiteOH2UO2+
log KsiteOH4, U
log KsiteOH2, U
(9)
(10)
314
and accordingly, the log KsiteOH2, U should have similar values for all types of sites. In a first step,
315
we fixed the log KsiteOH2, U at the same arbitrary value, and derived the log KsiteOH4, U values from
316
the relationship:
317
log KsiteOH4, U = log KsiteOH2, U – pKa1, site – pKa2, site
318
where pKa1, site and pKa2, site are the pKa values of the groups that were deprotonated in the FPMD
319
calculations. On each site complexed with U(VI), we considered that the deprotonation reaction
320
constants of remaining protonated groups were not influenced by U(VI) adsorption. In addition,
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FPMD calculations showed that the complexation of UO22+ on these sites will prevent
322
complexation on neighboring sites. This effect was taken into account in the SCM with the
323
combination of two functional sites, one bearing the complex with U(VI) and the other being free
324
of U(VI). The adsorption extents of U(VI) in each of the four site configurations were evaluated
325
independently with a log KsiteOH2, U value of 7.3 (Figure 5A).
326
Under these modeling conditions, ≡AlOHOa groups on the (110) surface had the highest
327
affinity for U(VI) followed by ≡AlOHSiO groups on the (010) surface, ≡SiOOa groups on the
328
(110) surface, and ≡Al(OH)2 groups on the (010) surface in decreasing affinity order. It was not
329
possible to reproduce the U(VI) adsorption edge with the (110)≡AlOHOa groups, while a good
330
fit was obtained between pH 5 and 8.5 with the (010)≡AlOHSiO groups alone. ∆F and pKa
331
values calculated with FPMD indicated that the various surface sites had similar affinity for
332
U(VI). However, the differences among the values and their associated uncertainties allowed us
333
to vary the affinity constants in the SCM over a limited range of values.
334
A sensitivity analysis on pKa values indicated that the SCM results were not very sensitive to
335
these parameters, while the affinity constants for the adsorption of U(VI) on the functional sites
336
were the main contributors to the position and maximum height of the adsorption curves. A 2.2
337
log unit decrease of the log KsiteOH2, U values for (110)≡AlOHOa groups, together with a 0.1 log
338
unit decrease of the log KsiteOH2, U values for (010) ≡AlOHSiO made it possible to match the
339
prediction of the empirical model of Tournassat et al. 49 between pH 5 and 8. This decrease was
340
compatible with the lower ∆F value of desorption at the (110)≡AlOHOa site compared to the
341
(010) ≡AlOHSiO site and the associated error bands (Table 1). Another possible explanation to
342
the discrepancies could also be the structure of the montmorillonite used. The presented
343
simulations are based on the so called trans-vacant model (Tournassat et al., 2016). Another
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structural polymorph (cis-vacant one) was not considered here. The structure of edges on cis-
345
and trans-vacant structures is different and may result in different sorption energies for U-
346
complexes.
347
Data above pH 8.5 were underestimated by our new SCM (Figure 5B). In their original 50
348
model, Tournassat et al.
needed to include a U(VI) surface complex with a -3 charge that
349
corresponds to a fourth deprotonation of the U(VI) surface complex. These deprotonation
350
reactions are constrained in our model by the FPMD results. SCM sensitivity analysis conducted
351
on pKa values within the error bands estimated from FPMD calculations revealed that only
352
neutral and singled negatively charged surface sites significantly contributed to U(VI)
353
adsorption. U(VI) adsorption at pH above 9 must be explained with a mechanism other than the
354
hydrolysis of adsorbed U(VI). This additional mechanism may be the formation of U(VI)
355
binuclear complexes as suggested by our FPMD results. Consequently, we added a single
356
reaction on the (010) ≡AlOHSiO site for the formation of this polynuclear complex (for clarity
357
and completeness of further model evaluation, the full details of the reactions are available in the
358
form of a commented PHREEQC file in Supplementary Data 5 in the SI).
359
As a final step, we tested our model against data published in the literature. As expected from
360
the good match of our new model to the predictions of the previous model from Tournassat et al.,
361
(2018)
362
(Supplementary Data 6 in SI). We cannot prove that there is a unique set of parameters that
363
makes it possible to fit U(VI) adsorption data. However, the combination of our SCM with
364
thermodynamic and structural constraints gained from FPMD calculations made it possible to
365
gain important insights related to the mechanisms responsible for U(VI) adsorption on clay
366
mineral edge surfaces. In particular, adsorption properties at pH values above 8 cannot be
50
, we were able to adequately predict U(VI) adsorption data from the literature
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explained by the deprotonation of adsorbed U(VI) species alone, as frequently hypothesized in
368
previous SCM studies
369
necessary to further assess the importance of the formation of polynuclear surface complexes on
370
the montmorillonite edges at pH values above 8.
15, 50, 80
. Additional spectroscopic and/or microscopic characterization is
371 372
Fig. 5. A: Comparison of U(VI) adsorption modeling results according to the empirical model
373
from Tournassat et. al (2018) (circles)
374
results (lines). The log KsiteOH2, U value was fixed at 7.3 for all four U(VI) adsorption reactions
375
(see text for details). B: Same model with log KsiteOH2, U value of ≡AlOHOa groups decreased by
376
2.2 log units (red dash line: contribution of the (010) surface; blue dotted line: contribution of the
377
(110) surface). The black line (Total) is indicative of the model result with the consideration of
50
and according to parameters constrained by the FPMD
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binuclear complex formation. Montmorillonite concentration: 0.5 g⋅L-1; electrolyte background:
379
NaCl, 0.1 mol⋅L-1; total U(VI) concentration: 1 µmol⋅L-1.
380
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ACKNOWLEDGMENT
382
The authors acknowledge the National Science Foundation of China (Nos. 41222015, 41273074,
383
41425009, and 41572027), Special Program for Applied Research on Super Computation of the
384
NSFC-Guangdong Joint Fund (the second phase) under Grant No. U1501501, the Newton
385
International Fellow Program and financial support from the State Key Laboratory for Mineral
386
Deposits Research. We are also grateful to the High Performance Computing Center of Nanjing
387
University for use of the IBM Blade cluster system. This research is being performed using
388
funding received from the U.S. DOE Office of Nuclear Energy's Nuclear Energy University
389
Program (Federal Grant No. DE-NE0008683). CT acknowledges funding from Andra in the
390
framework of the Andra-BRGM partnership and the program CTEC (P.I. Jean-Charles Robinet,
391
Mélanie Lundy and Benoît Madé).
392
SUPPORTING INFORMATION
393
Two tables, seven figures with additional information on FPMD and SCM results. Ready-to-use
394
PHREEQC input file scripts to reproduce our SCM results.
395 396
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29 Environment ACS Paragon Plus