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1 Institut de Physique du Globe de Paris, Centre de Recherches sur le Stockage Géologique du CO2, 4 Place Jussieu, 75005 Paris, France
2 Laboratoire de Géologie, UMR 8538 du CNRS, École Normale Supérieure, 24 Rue Lhomond, 75005 Paris, France
3 Institut de Minéralogie et de Physique des Milieux Condensés, CNRS, Université Paris 6 et 7, 140 rue de Lourmel 75252, Paris, France
4 Géochimie de lEnvironnement, Laboratoire de Géophysique Interne et Tectonophysique, CNRS, UMR C5559, OSUG, Université Joseph Fourier, 38041, Grenoble Cedex 9, France
5 Centre Pluridisciplinaire de Microscopie Electronique et de Microanalyse, Université dAix Marseille III, Faculté des sciences de Saint Jérôme, Avenue Normandie Niemen, 13397, Marseille Cedex 20, France
Correspondence: * E-mail: daval{at}ipgp.jussieu.fr
| ABSTRACT |
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Key Words: CO2 sequestration wollastonite carbonation dissolution-reprecipitation diffusion modeling leached layers FIB-TEM Rietveld refinement
| INTRODUCTION |
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To achieve these goals, several complementary approaches have been applied: at a river basin scale, chemical weathering rates have been derived from field measurements based on chemical and isotopic analyses of river waters (Gaillardet et al. 1999 and references therein; Dessert et al. 2003); weathering rates in the field can also be derived from weathering profiles and soil chronosequences (White et al. 2001; Blum and Hellmann, in review); and finally, perhaps the most widely used method is based on the determination of empirical rate laws from laboratory experiments performed on individual minerals (for a review, see chapters 4 to 7 in White and Brantley 1995). Whereas laboratory-based mineral dissolution rate laws are often the ones that are integrated into reactive transport codes for modeling the long-term evolution of mineral assemblages and fluids during water-rock interactions (Xu et al. 2004; Knauss et al. 2005), it has been continuously recognized that bridging the gap between laboratory-scale conditions and water-rock interactions in the field is still a challenge. In general, dissolution kinetics measured at far-from-equilibrium conditions in laboratory experiments are much faster than those measured in the field. Discrepancies in dissolution rates of up to four orders of magnitude are evident (Brantley 1992; Swoboda-Colberg and Drever 1993; Drever and Clow 1995; White and Brantley 2003). Thus, the relevance of numerical simulations based on rate laws derived from laboratory experiments can, in many cases, be questioned.
A detailed review of the many possible explanations for such outstanding discrepancies is beyond the scope of this study, and is available in some of the aforementioned papers. Briefly, the main ideas proposed include: (1) Reactions in the field are significantly slower because they often take place at fluid saturation states approaching chemical equilibrium. Furthermore, the effect of fluid saturation (Gibbs free energy of reaction) on the kinetics is perhaps not correctly taken into account by geochemical codes that use rate laws that rely on transition state theory (TST)-based equations (Burch et al. 1993; Lasaga and Lüttge 2001; Hellmann and Tisserand 2006). (2) Solutes that have a strong inhibiting effect (e.g., Al species according to Oelkers et al. 1994) are generally omitted. (3) The effect of "aging" of the mineral surfaces results either from the rapid disappearance of the most reactive high-energy lattice defects or from the passivating ability of protective inorganic secondary phases (Velbel 1993; White and Brantley 2003). With respect to this latter hypothesis, the impact on dissolution rates of secondary phases and/or residual amorphous surface layers produced by incongruent dissolution has been the subject of lively debate for over 50 years. In the early 1970s, the pioneering work of Luce et al. (1972) on the dissolution behavior of Mg-bearing silicates revealed incongruent dissolution, with preferential release of Mg and parabolic kinetics. This was first interpreted and modeled as the consequence of a transport-limited process, where reactants and products diffuse through a leached layer surrounding the dissolving mineral. The problem of linear vs. parabolic kinetics was also extensively debated in that decade by Helgeson (1971, 1972) and Lagache (1976). The experiments of Lagache attributed parabolic kinetics to the degree of solution saturation (i.e.,
Gr), and not to diffusion-limited transport through surface layers. Moreover, the occurrence of parabolic kinetics observed by Luce et al. (1972) was later attributed to the rapid dissolution of fine surface particles present on the dissolving grains during the first stages of dissolution (Schott et al. 1981). In parallel, the observation that dissolution takes place at selective locations on mineral surfaces, both in laboratory experiments and in the field, led some authors (Berner 1978; Berner et al. 1980; Schott et al. 1981) to suggest that silicate weathering is controlled by surface chemical reactions rather than by diffusion through a leached layer. It is now generally accepted that the dissolution kinetics of silicate minerals is controlled by surface chemical reactions, both in the field and in the laboratory (Kump et al. 2000).
With respect to coatings that are unambiguously identified as secondary precipitates, numerous studies (Nugent et al. 1998; Shih et al. 1999; Cubillas et al. 2005) have reported that their presence may slow down the weathering rate of the underlying phases. Several conceptual models have been proposed to explain how coatings affect dissolution rates. Various parameters were identified as crucial to predict the passivating ability of a given coating, such as (1) the molar volume ratio of product to reactant [i.e., ratio > 1 leading to passivating properties; see Velbel (1993) and Putnis (2002); and original references therein]; (2) the potential crystallographic relationships between coatings and underlying unaltered phases if both reactants and products are crystalline (Cubillas et al. 2005); or (3) if the coating is a silica gel, its potential evolution from a porous structure to a denser and less permeable assemblage due to the progressive condensation of silanol moieties within the silica gel (Casey et al. 1993; Gin et al. 2001; Cailleteau et al. 2008).
The impact of silica coatings on the transport of reaction products to the bulk solution, as well as their mechanism of formation, has been addressed in several recent studies dealing with mineral carbonation reactions (Park et al. 2003, 2004; Giammar et al. 2005; Béarat et al. 2006; Huijgen et al. 2006; Teir et al. 2007; Andréani et al. 2009). Carbonation reactions represent a potentially efficient way of sequestering CO2 over long time spans because carbon dioxide is then sequestered into a stable solid phase (Oelkers et al. 2008 and references therein). Equation 1 represents a typical carbonation reaction of a M-bearing silicate mineral that dissolves in the presence of CO2 to yield a M-carbonate and silica (where M is a divalent cation):
![]() | (1) |
Although this reaction is often favored thermodynamically, especially in the context of basic and ultrabasic rocks (McGrail et al. 2006), its efficiency may be limited if the reaction is somehow kinetically slowed, which may be the case if the silica coating hinders either the outflux of dissolution products, or the influx of fluid to the reaction front, or both. In most of the aforementioned studies dedicated to mineral carbonation, it was suggested, although neither unambiguously proven nor quantified, that silica gels that form on the reacting grains potentially slow the carbonation process and/or passivate the reaction surface on the primary minerals (Park et al. 2003, 2004; Huijgen et al. 2006; Teir et al. 2007; Andréani et al. 2009). To address this question with respect to Ca-bearing silicates, Daval et al. (2009) compared wollastonite (CaSiO3) carbonation rates measured in batch experiments, with a kinetic model of the process. In aqueous solutions, they showed that the evolution of the measured extents of carbonation as a function of time [
n(t)] were close to those predicted using literature-derived wollastonite dissolution rates determined at far-from-equilibrium conditions. Their findings support the idea that the occurrence of thick silica coatings (up to ~100 µm) that formed during carbonation did not prevent the fluid from reaching the pristine wollastonite interface. Their results also suggest that the effect of these coatings on wollastonite dissolution rate was roughly equivalent to that of silica coatings that formed on wollastonite dissolution experiments at far-from-equilibrium conditions in flow-through reactors, although the latter were much thinner (from a few nanometers to hundreds of nanometers) (Xie and Walther 1994; Weissbart and Rimstidt 2000; Golubev et al. 2005; Green and Lüttge 2006; Hellmann 2007). This suggests that wollastonite carbonation is controlled by surface chemical reactions, rather than by transport limitations within silica layers, either by diffusion in the pore fluid or by volume diffusion in the amorphous solid.
The present study aims to bring new microstructural observations and direct evidence for such assumptions, and to address the effect of secondary phases on carbonation kinetics. Such an approach requires a careful examination of the textural and mineralogical features of carbonation products down to the nanometer scale. In this study, we coupled the focused ion beam (FIB) technique to high-resolution transmission electron microscopy (TEM), a tandem approach which has recently received attention in the Earth science community (Heaney et al. 2001; Benzerara et al. 2005; Wirth 2004, 2009; Lee et al. 2007).
Our investigations are based on direct nanoscale measurements of the chemistry and the structure of altered layers as a function of depth on samples prepared in cross-section. Direct measurement of chemical profiles with nanometer-sized probes avoids artificial broadening of the profiles. Among the first to apply this methodology to study chemical weathering reactions were TEM investigations by Hellmann et al. (2003, 2004).
| MATERIALS AND EXPERIMENTAL METHODS |
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With respect to the samples containing no aqueous solution, the supercritical CO2 in contact with wollastonite can be considered to be "wet" because it contains a small amount of H2O that originates from other capsules containing aqueous solutions [see Daval et al. (2009) for details; especially, 7 capsules per run were filled with water only (no wollastonite) to ensure that liquid water was in large excess to saturate the CO2-rich phase]. More precisely, according to Spycher et al. (2003), at 93 °C and pCO2 = 202.7 bar (tabulated values of their Appendix A corresponding to the closest to that of the present study), the CO2 phase contains 14.32
of water. Our experimental setup is thus suitable to simulate carbonation reactions that take place in pores of the host rocks that are not saturated with a liquid water phase (Barlet-Gouédard et al. 2007; Rimmelé et al. 2008; Corvisier et al. 2009). As shown in Table 1
, carbonation of the wollastonite at T = 90 °C and pCO2 = 25 MPa led to changes in solution pH; the pH of the pure water decreased and became acidic, whereas the alkaline solution became circum-neutral (nonetheless, we always refer to these as water and alkaline solutions, irrespective of the final pH). Besides, as CO2 was observed to exsolve very quickly from the liquid phase of the capsules at the end of each run, no attempt was made to determine the in situ pH from measurements of the pH of the corresponding recovered solutions at room conditions. As underlined by Daval et al. (2009), the exsolution of CO2 is so fast that fluid re-equilibration is always observed, rendering presumably meaningless the final pH measured at ambient conditions.
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Quantitative determination of extents of carbonation and kinetic modeling
In their previous study, Daval et al. (2009) used two independent techniques to estimate the extents of carbonation as a function of time: solid mass balance and selective acid attack of calcium carbonates followed by the determination of Ca2+ released. Despite good agreement between the two techniques, both methods are analytically limited with respect to a detailed characterization of the full range of possible secondary precipitates that can form during carbonation. To improve upon the shortcomings in the previous study by Daval et al. (2009), a Rietveld refinement method was applied in the present study.
Quantification of secondary precipitates by Rietveld refinement of X-ray diffractograms was performed on 15 selected samples used as benchmark materials for which calcium carbonate content was previously determined by mass balance and acid attack. X-ray diffraction (XRD) data were collected with a Rigaku ultraX18HFCE Bragg-Brentano diffractometer equipped with a rotating copper anode (CuK
radiation). The conditions for generating the X-ray beam were 300 mA and 50 kV. Scans were taken for 2
ranges from 10 to 70° with 0.01°/s steps, with total accumulation times 100 min. The initial sample preparation procedure followed the methodology given in Raudsepp et al. (1999). Wollastonite powder (200 mg) was ground in absolute ethanol and sieved, retaining the <30 µm size fraction. The powder was then placed in a glass sample holder and pressed against a ground glass slide, and was then serrated with a razor blade in two perpendicular directions to avoid the preferential orientation of grains. This method, however, proved to be inadequate with respect to preventing the preferential orientation of the rod-shaped wollastonite grains. To overcome this problem, instead of using a capillary technique (which can induce significant errors because of sampling bias), a custom-designed apparatus was fabricated, consisting of a PVC plate with 462 mm sized saw-tooth holes (Fig. 1
). Wollastonite powder was mounted onto this apparatus, pressed against a ground glass slide, and then reintroduced into the cavity of the initial sample holder in the form of small piles of powder. Although this technique has a drawback in that the Bragg-Brentano conditions are not scrupulously respected (which results in degradation of specimen displacement parameters and broader peaks), overall this technique is superior because the effect of preferred-orientation is avoided, which is the largest source of error.
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0 and X), followed by the parameters (U, V, W, and IG) of the modified Cagliotti function; (4) last, the asymmetry parameters of the peaks below 2
= 50° were refined. This iterative procedure was stopped when the reduced
2 reached a minimum or became unstable, with all of the previously cited parameters allowed to vary. All of the parameters were then fixed, subsequently permitting the Rietveld refinement to be performed, leading to refinement of scale factors and atomic positions of the major phases. The quality of the fit between the calculated and observed diffraction-profiles was evaluated using standard indices of agreement, such as the reduced
2 index defined by Rodríguez-Carvajal (2001). The quantitative Rietveld refinement of X-ray diffractograms (see Fig. 2
n) as a function of time were calculated as follows:
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where xCal and xWo are the weight percent (dimensionless) of calcite and wollastonite found by Rietveld refinement, and MCal and MWo are, respectively, the molecular masses of calcite and wollastonite (g/mol), thus yielding dimensionless
n.
Modeling the extents of reaction was done using the geochemical code CHESS (van der Lee and De Windt 2002), using rate laws taken from the literature for each step of the carbonation process (wollastonite dissolution and calcite precipitation). Major potential discrepancies between experimental data and kinetic modeling, other than those due to intrinsic analytical errors, are attributed to two major sources: (1) transport limitations (CHESS does not incorporate reactive transport) and (2) incorrect mineral dissolution and precipitation rates and/or rate laws; this latter idea was treated in detail in Daval et al. (2009) and will not be discussed further here.
Analysis of the diffraction-line broadening on carbonated powders
To further constrain the mechanisms of carbonate precipitation, the microstructural features of calcite crystals were determined from a detailed analysis of powder XRD patterns. The broadening of Bragg peaks is mainly affected by two contributions: (1) instrumental resolution, and (2) microstructural effects related to the size of the crystallites and to strain. These combined effects can be separated by use of deconvolution methods, such as Le Bail or Rietveld refinements. Powder XRD data were collected under the same experimental conditions as those described previously, but the use of a classical sample holder was preferred to our custom-made design (see Fig. 1
), mainly due to the fact that the latter induces artificial peak broadening and degradation of specimen displacement parameters. To mitigate the potential effects of preferred orientation of the grains, only Le Bail refinement (profile matching with constant scale factor) was carried out using the program Fullprof (Rodríguez-Carvajal 2001). The procedure we followed to determine the microstructural features of calcite crystals was similar to a standard method described, for example, in Montes-Hernandez et al. (2008). First, the instrumental resolution function (IRF) of the diffractometer was calculated by performing refinement of an XRD pattern of a strain-free sample [gadolinium gallium garnet (GGG), Gd3Ga5O12]. The peak shapes were fitted using the pseudo-Voigt profile function of Thompson et al. (1987). The background consisted of selected points with linear interpolation between them. The asymmetry parameters of the Finger correction S/L and S/D (Finger et al. 1994) and the Cagliotti parameters were refined for the standard sample of GGG. All these parameters were then kept fixed during the subsequent refinements of the XRD patterns of the reacted wollastonite powders, such that any further refinement accounted only for microstructural effects (see Martinez-Blanco et al. 2008 for details). With respect to calcite, anisotropic size broadening was modeled in terms of spherical harmonics, allowing the coherent domain average apparent size corresponding to each reciprocal lattice vector to be calculated. The Cagliotti parameter U was refined to account for some isotropic strain in the Gaussian component of the peak profile. Only isotropic coherent domain size and isotropic strain were considered for the two other phases (wollastonite and quartz) because of small amounts of each of these phases in the analysis of the XRD patterns. By performing refinements with different starting values of the previously described parameters, a rough idea of the errors and the stabilities of the results can be estimated. When peak broadening was not limited by instrumental resolution, errors in size were found to be ~30%; errors in strain were less than 10%.
Scanning electron microscopy (SEM)
The powders were studied by SEM (Hitachi S-2500) operating at 15 kV, with a working distance of 25 mm. The samples were either fixed on an adhesive carbon support and gold-coated, or impregnated with epoxy resin, polished, and gold-coated to obtain cross-sections of the grains. Qualitative chemical analyses were acquired by energy dispersive X-ray spectrometry unit of the SEM (EDXS, Thermo Noran Si/Li detector). The acquisition time was generally 90 s, which was the duration necessary to acquire spectra with maximum peaks at ~2000 counts.
Cross-sectioning by the focused ion beam (FIB) technique
Reacted sample grains were initially impregnated in an epoxy resin. Ultrathin electron transparent cross-sections were then cut from three samples, with each one representing one of the three experimental conditions: (1) C3 (t = 2 days, pure water); (2) C6 (t = 2 days, alkaline solution); and (3) E10 (t = 11 days, supercritical CO2). According to the measurements of Daval et al. (2009), the extents of reaction for all three samples are roughly similar (~0.5 <
n < ~0.8), due to the much slower kinetics in supercritical CO2. FIB milling was performed with a FEI Model 200 SEM FIB system. The basic principles of the method are described in Heaney et al. (2001) and in Wirth (2004). The samples were previously carbon-coated to protect the underlying phase during milling. A thin layer of platinum (~1 µm thick) was deposited on the specimen surface before Ga ion milling. A 30 kV Ga+ beam operating at 20 nA was used to cut the thin section to a depth of ~5 µm. The last step consisted of ion milling at much lower beam currents (~100 pA), to achieve a final thickness of approximately ~80 nm. The ~15 µm x 5 µm x 80 nm thin section was removed from the sample with a micromanipulator and placed onto a carbon-coated copper TEM grid for subsequent TEM analyses.
TEM, EDXS, and electron energy loss spectroscopy (EELS) analyses
High-resolution transmission electron microscopy (HRTEM) and scanning transmission electron microscopy (STEM) observations were carried out on a JEOL 2100F microscope operating at 200 kV, equipped with a field emission gun. STEM observations were performed both in brightfield (BF) and darkfield (DF) modes. EDXS maps were acquired in STEM DF mode, with a focused electron beam (1 nm). EELS spectra were acquired using a dispersion of 0.1 eV/channel to record spectra in the range of 290–392 eV. The dwell time was optimized to acquire sufficient signal intensity and to limit beam damage. Tomography was performed on FIB thin sections using a JEOL 2100 (LaB6) TEM, operating at 200 kV. Samples were tilted between –40 and +40°, and images were acquired with the DigitalMicrograph software at 1°/step in Saxton-scheme mode. Images were processed using the code TomoJ (Messaoudi et al. 2007). The images were treated with the ImageJ program (Rasband 2002). In addition to investigations on the FIB thin sections, some selected carbonated powders were ground in pure ethanol; drops of the liquid phase containing the smallest particles in suspension were then deposited on a carbon-coated copper grid and observed by TEM.
| RESULTS |
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n values level to a plateau after an initial sharp increase during the first days of alteration. The plateaus do not correspond to complete reaction for the experiments in supercritical CO2 and in alkaline solution,
n being much less than 1 (
n = 1 when no wollastonite remains). In general, carbonation is faster in aqueous media than in supercritical CO2.
To better assess the quality of the intercalibration of the different quantitative techniques,
n values determined by Rietveld refinement (
nRR) are plotted as a function of
n values for the same samples, determined either by mass balance (
nMB) (Fig. 3a
) or by selective acid attack of calcite followed by measurement of Ca2+ released (
nAA) (Fig. 3b
). As illustrated by the correlation coefficient of the linear regression of the corresponding series of data (R2 > 0.98 in both cases), the
n values found using Rietveld refinement are in excellent agreement with the values determined by the two other techniques. These results support the idea that Rietveld refinement is a powerful tool for following the extents of carbonation as a function of time, even when only small amounts of carbonates are present (down to a few weight percent carbonate, i.e.,
n < 0.1 for wollastonite, see Table 3
). Of equal importance, these results also show that the preparation method developed in the present study for avoiding the preferential orientation of the grains can be satisfactorily used to determine mineral abundances in such assemblages. This opens interesting perspectives for the quantification of minerals in complex matrices containing acicular or plate-shaped crystallites, as would be the case, for example, for the carbonation of phyllosilicates such as serpentines.
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nRR as a function of
nMB is close to 1, but is up to 10% greater than the regressed slope of
nRR as a function of
nAA (as a consequence, the same holds for the regression of
nMB as a function of
nAA; plot not shown). This means that
n values determined by acid attack are systematically smaller than those determined either by Rietveld refinement or by mass balance. Possible explanations are discussed in the next section.
Textural and chemical characteristics of silica layers, mineralogy, and microstructure of secondary phases
Spatial organization.
At the micrometer-scale, wollastonite replacement was observed by SEM to occur pseudomorphically, as the rod-shaped morphology of the reacted wollastonite grains was preserved by the silicon-rich secondary phase for each of the three starting chemistries (Figs. 4a
, 5a
, and 6a
). The secondary silica layers were observed to be systematically spatially adjacent to the unaltered wollastonite cores, regardless of the solution chemistry. At the micrometer-scale, the silica layer is extensive (up to 100 µm thick, Fig. 4a
) and mainly (but not completely) free of other phases when the wollastonite was reacted in pure water, whereas it extensively contains (and is covered with) calcite crystals when reacted in alkaline solution and supercritical CO2 (Figs. 5a
and 6a
). As illustrated in Figures 4a
and 5a
, micrometer-sized channels are present within the silica layer; most of these are calcite veins or channels filled with Ca-microcrystallites, which suggests that the bulk solution permeated the silica layer during carbonation. Finally, the exterior regions of the mineralogical assemblages (the free spaces between the grains) are filled with calcite crystals. Whereas large and isolated calcite crystals (up to a few tens of micrometers, Fig. 4a
) are associated with the silica layers (surfaces or between individual wollastonite grains) after reaction in water, the two other conditions are characterized by secondary calcite forming compact, continuous coatings on the silica layers (Figs. 5a
and 6a
). In any case, these calcite crystals shown in SEM images do result from the carbonation reaction, and not from the small amount initially present in the starting materials (~1 wt%, see Table 3
). Actually, these impurities were difficult to characterize by SEM in the (pristine) starting powder, and occurred as non-euhedral, micrometer-sized crystals without spatial relation with the wollastonite grains.
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nAA vs.
nRR or
nAA vs.
nMB, since some of these crystals may have been less accessible to acid attack compared to the calcite that makes up the precipitated coatings on top of the silica layers. Whether or not these nano- to microcrystallites formed in their entirety during in situ conditions, or were partly formed during the quench phase of the experiments, remains an open question.
The chemical composition of the silica layer was determined at the nanometer-scale by EDXS. A typical EDXS analysis of the silica layer formed during carbonation in aqueous solutions (H2O, alkaline) is reported in Figure 4c
. It reveals that the silica layer is not pure and contains a weak but detectable amount of Ca. This is also the case when the reaction took place in supercritical CO2. To confirm the calcium signals measured by EDXS, EELS analyses of the silica layer at Ca L2,3 edge were acquired, distant from any Ca crystallites present within it. As seen in Figure 4c
, the signal unambiguously reveals that the silica layers do contain measurable amounts of calcium. Finally, it was often observed that the TEM beam caused the creation of spherical-like bubbles, which may be due to hydrolysis reactions of free water present in the silica layer (see a similar example in Hellmann 2007).
Evidence for Ca-phyllosilicate formation.
A careful investigation of silica layers formed in aqueous solutions revealed that they contain crystals with coherent domain sizes of a few tens of nanometers and inter-reticular distances of ~14 Å. These crystals were either found to be embedded within the amorphous silica matrix (Figs. 4d
and 5f
) or within cracks that permeated the silica (Fig. 5c
). EELS analysis of the crystals shown in Figure 4d
at the Ca L2,3 edge revealed a significant amount of Ca (Fig. 4c
). Taken together, these observations are consistent with the occurrence of plombierite [also named 14 Å-tobermorite, formula: Ca5Si6O16(OH)2·7H2O], a calcium silicate hydrate (C-S-H) common in cements and concretes (Maeshima et al. 2003; Bonaccorsi et al. 2005; Richardson 2008). A rough estimate of the relative Ca-phyllosilicate abundance within the silica layer formed during carbonation in aqueous solution was determined using TEM tomography and yielded values of 0.5 ± 0.3 vol%. Ca-phyllosilicates were not observed in the samples reacted in supercritical CO2.
Microstructure of calcite crystals.
The average coherent domain size and the maximum strain along each reciprocal lattice vector of calcite crystallites from carbonated powders after 11 days of reaction were determined and are reported in Table 4
. On the whole, the maximum strain was found to be weak to non-existent for samples reacted under all three conditions. As a consequence, broadening of peaks, if present, is mainly due to the limited coherent domain size of the crystallites. Whereas the calcite crystallites formed during the course of experiments in water have such large coherent domain sizes that the broadening of the reflections is indeed limited by instrumental resolution, the calcite crystallites are significantly smaller when formed in alkaline solution and in supercritical CO2. For the latter case, the average apparent size was ~150 nm, with an average anisotropy of ±96 nm, which is in reasonable agreement with TEM observations that showed calcite crystals with dimensions of a few hundreds of nanometers. These results suggest that for equivalent extents of reaction, calcite formation is mainly driven by the growth of relatively few calcite nuclei when the reaction is initiated in water, whereas the density of nuclei is much more important for the two other conditions. In general, these results are in agreement with the qualitative SEM observations that showed that the largest euhedral calcite crystals grew during carbonation in water.
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| DISCUSSION |
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The reactive surface area of wollastonite was assumed to follow a shrinking core model (see van der Lee and De Windt 2002 and Daval et al. 2009 for details). This assumption is in reasonable agreement with SEM observations: as evidenced in Figures 4a
, 5a
, and 6a
, at a micrometer-scale, wollastonite was roughly homogeneously weathered, rather than selectively etched. The initial surface area was based on N2-BET measurements of the unaltered wollastonite grains (see methods). The evolution of reactive surface area was not used as a fitting parameter (as is often the case in the literature), such that the model is independent from the experimentally measured extents of carbonation. We can consider that the time needed for carbonation to be achieved (tc) is the sum of the three following contributions: (1) time required for complete wollastonite dissolution (td); (2) transport of the aqueous products (tt); and (3) calcite precipitation (tp),
![]() | (3) |
However, since the kinetic modeling does not include transport terms, this implies that tt = 0 during the course of the simulation. The degree to which this assumption is reasonable can be determined by comparing the experimentally measured extents of carbonation to the modeled curve (Fig. 9
). If the experimental data overlap the modeled curve, this can be used as evidence that transport of reactants and products to/from the reactive interface is not rate-limiting.
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Pseudomorphic replacement of wollastonite by porous silica can be explained within the framework of the model discussed by Putnis and Putnis (Putnis et al. 2005; Putnis and Putnis 2007; Kasioptas et al. 2008, see also review in Putnis 2002), whereby the silica is formed by coupled dissolution-precipitation (arguments in favor of such a mechanism are developed in the section "mechanism of silica layer formation"). According to these authors, if the reaction of solid phase A
solid phase B occurs, and if: (1) there is a "molar deficit" (more moles of A are dissolved than B precipitated) and (2) VB/VA < 1 (where VB and VA represent the molar volumes of phases B and A, respectively), then the secondary phase B is predicted to be more porous than phase A. These two conditions were satisfied for the case of wollastonite replacement by amorphous silica. Moreover, the porous microstructure of the silica layer, as observed by electron microscopy, is consistent with permanent contact of bulk fluid with the reactive surface of wollastonite, thus showing that the silica layer did not have a significant passivation effect. A similar example, based on the hydrothermal dissolution of albite at acid pH, shows the formation of a porous, 0.5 mm thick rind of boehmite crystals that had no effect on the release rate of silicon from the parent mineral (Hellmann et al. 1989).
The results of the present study are consistent with the idea that wollastonite carbonation in water is not dramatically slowed by the formation of thick silica layers. As a consequence, the major impact of rapid precipitation of silica on the extent of carbonation is that it maintains the dissolution reaction away from equilibrium at a constant, negative
Gr (see values in Table 1
), thus promoting the dissolution process. As noticed in previous studies (Putnis 2002), this means that there is a "cooperative" autocatalysis effect.
Carbonation in alkaline solution.
Even though the carbonation reaction in the alkaline solution occurred at a higher pH range compared to carbonation in pure water (see Table 1
), the extents of carbonation determined for these conditions can be directly compared with the same modeled curve in Figure 9
because the rate law determined in Weissbart and Rimstidt (2000) is pH independent over the range of 2–6 (n = 0). As pointed out in Daval et al. (2009), other values of n are available in the literature (Golubev et al. 2005), but are small in any case (n
0.28). However, unlike carbonation in water, there is a lack of agreement between the modeled curve and the data. As the extent of carbonation attained a plateau value less than unity (~0.8), a possible explanation is that at these conditions the silica coating acted as a partially passivating layer. Surprisingly, however, the chemical, structural and textural properties of silica layers formed under these conditions were the same as those evidenced previously, namely micrometer- to nanometer-sized cracks (Figs. 5a, 5b, 5c, and 5d
) and a nano-porous silica layer (Fig. 5e
). The lower degree of reaction progress attained in alkaline solution may be due to two non-exclusive reasons: the dense, continuous coating of small calcite crystals (see XRD results and SEM images) that formed on top of the silica layer or, alternatively, the presence of calcite crystals that formed in the nanometer- and micrometer-sized cracks and pores of the silica rind. This suggests that pure silica layers do not passivate (carbonation in water), but the presence of precipitated crystallites may progressively change the transport properties of the layers, rendering them at least partially passivating. The analysis of the diffraction-line broadening of the carbonated powders (Table 4
) supports both of the two proposed explanations. Specifically, the diffraction-line broadening revealed that the calcite crystallites are smaller when formed during carbonation in alkaline solution. Thus, for an equivalent extent of carbonation, crystallites are more numerous than in samples reacted in water. Supporting this, TEM observations revealed that the presence of nano-calcite crystallites within the silica layer were more prevalent compared to when carbonation occurred in pure water. Thus, the overall effect of the calcite crystallites may be due both to their presence as a separate coating, as well as a filling material in the cracks and in the nano-porosity of the silica layer.
If the size of the calcite crystals is a key factor in predicting their ability to affect the transport of reactants and products to/from the reactive wollastonite surface, it is important to understand the origin of such differences. One possible explanation is based on the idea that the size of the calcite crystals is controlled by the size of the critical nuclei, which is a function of pH. We hypothesize that in the alkaline solution (higher pH), smaller crystal sizes are favored, thereby facilitating their nucleation and the subsequent filling in of the silica pores by the calcite crystallites (see derivation in Appendix A1).
Carbonation in supercritical CO2.
The temporal evolution of the extents of carbonation in supercritical CO2 display features similar to that described in section above. However, as shown in Figure 9
, the extent of carbonation in the supercritical CO2 fluid was much less than in the alkaline solution (
n ~ 0.5), as well as in water. If passivation seems to be a likely explanation for the observed trends of the extents of reaction (the calcite coatings being even more compact and continuous than in alkaline solutions), it is difficult to address this with the same arguments as already presented, due to the particularity of carbonation in the assumed absence of an aqueous solvent. It is possible that interaction with a "wet" supercritical CO2 fluid occurs via a thin H2O film that interacts with the wollastonite. On one hand, our experimental setup ensures that water is not the limiting reactant, as the amount of dissolved water in the CO2-rich phase is buffered by the liquid water present in the autoclave. On the other hand, its supply to the pristine interface could be limited as well as that of CO2 by the presence of passivating calcite coatings. However, because substantiating this idea is beyond the scope of this study, we prefer not to directly compare the experimental extent of reaction data with kinetic modeling (using reaction rates in aqueous solvents from the literature). In addition, the extents of carbonation were not as reproducible as were the carbonation reactions in water and alkaline solution (see details in Daval et al. 2009), perhaps being due to localized grain surface heterogeneities (hydration state of grain boundaries).
If one supposes that, similarly to alkaline conditions, carbonation of wollastonite in "wet" supercritical CO2 is limited by the access of reactants (CO2, H2O) to the pristine wollastonite surface, then the occurrence of a succession of several layers could seem surprising. This would mean that a single layer is not passivating enough to stop the reaction progress. Indeed, it is likely that the diffusivity in a supercritical phase is larger than that in a liquid phase, because of the difference between fluid viscosities (see similar features and explanations for carbonation of serpentine samples in Dufaud 2006). Several layers would thus be required before preventing the reactants to reach the silica/wollastonite interface.
In any case, the mechanism of carbonation of supercritical CO2 fluids warrants further study. Results from Montes-Hernandez (2009) reveal that "dry" supercritical CO2 fluids do not react with silicate minerals. Small amounts of water present in supercritical CO2 fluids (as in this study) are needed to hydrolyze the bonds of minerals, perhaps via a thin water film. Possibly, the carbonation reaction in supercritical CO2 was ultimately limited by the availability of water at the wollastonite interface in the present study. For this reason, we suggest that detailed experiments of wollastonite weathering and/or carbonation in CO2 fluids with controlled water fugacities would be a fruitful area of research, and could provide information on the dependence of reaction rates on water fugacity in supercritical CO2 fluids.
Mechanism of silica layer formation
The thick, continuous, and pervasive silica coatings that surround unaltered wollastonite grains display pseudomorphic features typically associated with residual surface layers resulting from the incongruent dissolution of silicates (Huijgen et al. 2006). Incongruent dissolution, due to the preferential release of certain cations from the parent mineral, leads to the formation of so-called "leached layers." Their formation is thought to be a consequence of the facile exchange of interstitial cations with protons from the bulk solution, and of the fact that M-O-Si bonds are more easily hydrolyzable than Si-O-Si bonds (specifically at acid pH). According to this conceptual model, silicate weathering is a function of two distinct, parallel processes: solid-state volume interdiffusion within the leached layer of preferentially released cations and protons from the bulk solution, and hydrolysis reactions that release Si and O from the fluid/leached layer interface. The leached layer mechanism has been the accepted theory for multi-cation mineral dissolution for over 40 years (Helgeson 1971; Berner and Holdren 1979; Chou and Wollast 1984; Casey et al. 1988; Petit et al. 1990; Hellmann et al. 1997), and it continues to hold sway in the mineral dissolution literature (Chaïrat et al. 2007). Cation and hydrogen depth profiles of altered layers that are sigmoidal and anticorrelated, obtained by surface ion and electron beam techniques, have been the principal argument used to support the idea of solid-state interdiffusion and leached layer formation (Casey et al. 1988; Petit et al. 1990; Hellmann et al. 1997; Schweda et al. 1997; see also diffusion modeling in Hellmann 1997). However, a few recent studies have used a different analytical approach to investigate altered surface layers, based on direct nanoscale structural and chemical measurements of altered zones prepared in cross-section, either by ultramicrotomy or by FIB. This avoids potential artifacts associated with chemical depth profiles obtained indirectly by surface ion and electron beam methods characterized by low lateral spatial-resolution (Hellmann et al. 2003, 2004).
In the present study, we obtained novel nano-scale measurements that are characterized by spatially coincident and sharp, step function-like changes in the structure and chemistry of interfacial regions separating the amorphous altered layer from the unaltered wollastonite parent. To test whether these sharp interfacial chemical gradients, measured by STEM-EDXS analyses (dark lines in Figs. 7
and 8
), were compatible or not with the leached layer mechanism, diffusion modeling was carried out. The general diffusion Equation 4 below accounts for the outward diffusion of species within the silica layer (extending from the wollastonite reaction front to the exterior boundary of the silica layer) (Doremus 1975):
![]() | (4) |
In the above equation, t is time, C is the normalized concentration of the element chosen ([Ca]), x is the depletion depth (measured from the fluid–solid interface), D the diffusion coefficient of the chosen species (DCa), and a is the rate of retreat of the fluid–solid interface. As revealed by SEM, the silica coatings preserve the initial rod-shape morphology of the wollastonite grains. It is therefore highly likely that, as soon as the fluid becomes saturated with respect to amorphous silica [note that the fluid analyses performed by Daval et al. (2009) at the end of each experimental run are consistent with this statement], the outer interface of the assemblage (the fluid/silica interface) does not dissolve anymore. As a consequence, it is reasonable to set a to 0. In addition, the diffusion equation is assumed to satisfy the following boundary conditions (note that concentrations are normalized to the bulk concentration): at x = 0, C = 0, and at x =
(the leached layer/bulk interface), C = 1, and
C/
x = 0. These boundary conditions are in good agreement with the measured chemical profiles of Ca; see also additional details in Hellmann (1997). With these boundary conditions, the solution to the above expression using a Laplace transform method (Crank 1990) is:
![]() | (5) |
Figures 7a
and 8a
show the calculated profiles for Ca concentration as a function of depth, based on the above equation. Each figure shows several diffusion profiles, corresponding to a constant diffusion coefficient, DCa, which ranges from 1.5 x l0–13 to 1.5 x l0–11 cm2/s for carbonation in an aqueous phase, and from l0–16 to l0–14 cm/s for carbonation in supercritical CO2. Strikingly, the form of the calculated curves (monotonic increase of Ca from the leached layer/fluid interface to the leached layer/bulk interface) does not resemble the change in the concentration of Ca measured experimentally. This mismatch has been observed in previous studies (see Hellmann 1997, and references therein) and was attributed to modeling the diffusion process with a constant diffusion coefficient, as in Equation 4. Alternatively, the use of a non-constant diffusion coefficient, which varies as function of the concentration (and thus, of depth), could better reproduce profiles with more complex shapes (more or less sigmoidal, with variable sharpness of the concentration gradient). Assuming that the outward diffusion of cations Mn+ from the bulk mineral and the inward diffusion of H+ are not independent, but rather are coupled by an ion exchange reaction between H+ and Mn+ species, has led some authors to take into account this interdependency by the use of a non-constant, single interdiffusion coefficient, &Dtilde; (Baucke 1974; Doremus 1975; Hellmann 1997). This interdiffusion coefficient depends on the diffusion coefficients of H+ (DH) and Mn+ (for wollastonite, DCa) species. The details of the numerical resolution of such a problem can be found in Appendix B1.
Considering the wollastonite sample reacted in pure water, the results of the simulations using this model are represented in Figures 7b, 7c, and 7d
. Each figure shows several diffusion profiles, each one with a constant value of DH (ranging from 10–13 to 10–11 cm2/s), and different values of DCa. These figures illustrate that the thickness of the depleted silica layer is strongly dependent on DH, and much less on DCa: whereas a variation of one order of magnitude of DH is responsible for a threefold factor difference of the depth (h, corresponding to the distance at which the modeled curves reach 1) of the depleted silica layer (h ~ 7; 20 and 55 µm for DH = 10–13; 10–12 and 10–11 cm2/s, respectively), for a given value of DH, h remains roughly constant despite discrepancies in DCa of up to four orders of magnitude. This observation is qualitatively consistent with the modeling of H+-alkali interdiffusion (Hellmann 1997; Hellmann et al. 2003). The Ca profiles are not symmetric, unlike in the two aforementioned studies, because one of the interdiffusing cations is divalent, which in turn modifies the mathematical expression of &Dtilde;. Also, the thinnest silica layers give rise to the sharpest chemical profiles. To reproduce layers with thickness of ~20 µm, values of DH of ~10–12 cm2/s are required; however, the calculated Ca profiles are then not at all sharp, irrespective of the value of DCa (Fig. 7b
). On the other hand, it is possible to generate sharper and sharper Ca gradients, but only if the total silica layer thickness is steadily reduced. An extrapolation of Figure 7c
would show that the reproduction of ~20 µm thick silica layers with a sharper change in Ca concentration would require performing simulations with unrealistic DH/DCa ratios. The most important conclusion borne out by our diffusion model is that the leached layer mechanism cannot reproduce both thick cation depleted silica layers, with a depth on the order of ~20 µm, in conjunction with nanometer-wide interfacial chemical gradients. Similar trends can be pointed out for wollastonite sample reacted in supercritical CO2 (Figs. 8b, 8c, and 8d
). In this latter case, these findings are thus also consistent with the idea that an H2O thin fluid layer is required for the transport of calcium species from the wollastonite interface to the locations where calcite crystals precipitate.
Similar conclusions were previously reached by Hellmann et al. (2003). By comparing chemical profiles performed by secondary ion mass spectrometry (SIMS) with EFTEM, Hellmann et al. (2004) proposed that the profiles measured by techniques with low lateral spatial resolution, such as X-ray photoelectron spectroscopy (XPS) or SIMS, which are sigmoidal and therefore in agreement with leached layer theory, result from the integrated effects of both surface topography and laterally variable depths of surface chemical alteration. The combination of either the FIB-EFTEM or FIB-STEM-EDXS technique is therefore an invaluable method to circumvent this problem and allows the determination of the "true" chemical and structural profiles at the nanometer-scale, which were proposed to be consistent with an interfacial dissolution-precipitation mechanism by Hellmann et al. (2003). This mechanism is the most likely explanation for the formation of the silica layers in the case of wollastonite carbonation, as it explains the sharp interfaces, the elevated porosities, and the presence of secondary Ca-phyllosilicates. These 3 phenomena require the breakdown of all bonds at the wollastonite reaction front.
One can ask the question as to why wollastonite carbonation, via an interfacial dissolution-reprecipitation mechanism, leads to pseudomorphic features in the silica layer (the detailed preservation of the initial morphology of the grains by the silica coating, see Fig. 6a
; see also Fig. 2e
in Daval et al. 2009). Even though it is commonly assumed that only solid state transformations lead to pseudomorphic replacement, Putnis (2002) and Putnis and Putnis (2007) provide convincing evidence that dissolution-reprecipitation reactions are also compatible with pseudomorphism. We suggest that the pseudomorphic texture implies an intrinsic silica precipitation rate much greater than the dissolution reaction, this corresponding to a mechanism whereby silica entities that detach from the reactive wollastonite interface remain in the interfacial region and are immediately reprecipitated, thus facilitating the replication of the original wollastonite grain morphology. Such reasoning also justifies the use of an "infinitely" rapid precipitation rate of amorphous silica during the course of the kinetic modeling. Moreover, a trivial but interesting aspect of wollastonite carbonation is that silica is always in contact with wollastonite (but wollastonite is never in contact with calcite, nor with Ca-phyllosilicates). This may indicate that amorphous silica precipitates even faster than calcite or plombierite.
The comparison between the diffusion modeling results and the measured Ca profiles strongly supports the interfacial dissolution-reprecipitation mechanism for all of the experimental conditions investigated in this study, even in a supercritical CO2 phase, where the mole fraction of water present in CO2 at pCO2 = 25 MPa is about 4
(Fig. 3
in Spycher et al. 2003). It would be interesting to determine whether there is a critical water fugacity, below which a switch from dissolution-reprecipitation to a presumably far slower solid-state diffusion mechanism might occur.
The role of silica coatings reported in the literature
As previously pointed out, the impact of silica coatings on the transport of solutes to and from the dissolving parent silicate phase has been a debated question for more than 40 years. Their occurrence on naturally weathered samples has been suggested to contribute at least partly to the long-standing problem of the orders of magnitude difference that exists between field and laboratory dissolution rates determined for single minerals (Nugent et al. 1998). Performing coupled dissolution-precipitation experiments in batch reactors represents a fruitful method of study "situated" between dissolution experiments in flow through reactors (which often are conducted at constant, far-from-equilibrium conditions) and dissolution in the field (which would include underground CO2 sequestration sites) at conditions close to equilibrium. More specifically, the batch experiments used in this study mimic the non-constant (increasing)
Gr history of the carbonation process, and thus the sequential precipitation of different secondary phases, which ultimately are of importance in reproducing the correct temporal succession of microstructures. In the present study, we propose that the silica layers did not impede the transport of aqueous species to or from the wollastonite reaction interface. On the other hand, their passivating properties are rather attributed to the formation of secondary nano-precipitates (such as nano-calcites or Ca-phyllosilicates), occurring as a continuous surface coating and in pores and cracks within the silica layers.
With respect to silicate carbonation, a few studies have been published with contradictory results and interpretations. Huijgen et al. (2006) investigated the aqueous carbonation of wollastonite in ultrapure water, pCO2 up to 4 MPa and T up to 225 °C. Unlike the present study, they proposed that the rate-limiting step of the process was the diffusion of Ca across a so-called leached layer. However, these authors claimed this without having performed comprehensive kinetic modeling of the process. Nonetheless, their estimates for the activation energy of the process, ranging from 16 to 22 kJ/mol, are in better agreement with a diffusion-limited process than one by chemical reactions at the wollastonite reaction front (Lasaga 1984). However, their estimated activation energies were extrapolated during the initial stages of dissolution (~15 min), a period during which steady-state conditions most probably were not attained, thus making their estimated Ea values suspect. Supporting our conclusions about attainment of steady-state rates, Weissbart and Rimstidt (2000) showed a significant, exponential decrease of the intrinsic wollastonite dissolution rate during the first five hours of the process. Such a transient period is often observed in silicate dissolution experiments conducted in mixed-flow reactor, and was proposed to result from the rapid disappearance of the most reactive sites (the corner ledges of grains) and/or the fast removal of fine particles that could adhere on the grains (see e.g., Hellmann 1995 for a thorough discussion).
The aqueous carbonation of Mg-bearing silicates has been the subject of many recent studies, in particular olivine (Mg2SiO4) and serpentine [Mg3Si2O5(OH)4]. With respect to olivine carbonation, Giammar et al. (2005) showed that the dissolution of olivine was continuously non-stoichiometric, characterized by the significant preferential release of Mg with respect to Si over a 3-week period (probably, the silica layer was not passivating). The study of Béarat et al. (2006) suggested that during olivine carbonation a passivating silica layer forms, based on experimental arguments and atomic level modeling. Specifically, their model hypothesizes that the silica layer consists exclusively of Si-O-Si bonds, without H species being present. One can note that similarities exist between those findings and a study of glass corrosion by Cailleteau et al. (2008), which advocates that the reorganization of the silica layer (via silanol condensation), in the absence of incorporated minor elements such as Zr in the silica matrix, results in pore closure and densification of the silica gel at the gel-solution interface.
A possible explanation for the passivating characteristics of silica layers is based on the nature of the cations present in the original mineral and whether or not these cations can be incorporated into the structure of the silica layer. With respect to the results of Béarat et al. (2006), it can perhaps be reasoned that Mg is not incorporated into the silica matrix (consistent with their modeling), thereby allowing gel reorganization and pore closure. Conversely, our results suggest that incorporation of Ca into the structure of the silica layer is possible (EELS measurement in Fig. 4c
), such that this perhaps impedes densification and closure of the pores in the silica layer. We suggest that specific experiments should be conducted to investigate which cations affect the passivation characteristics of silica layers.
Studying serpentine carbonation, Park et al. (2004) also proposed that silica coatings act to kinetically slow down serpentine dissolution. They observed that grinding the grains enhanced the reaction rates, which they interpreted as resulting from the removal of the silica layers. However, it is more likely that the observed increase in the weathering rate of serpentine can be attributed to an increase of the total reactive surface area.
| CONCLUDING REMARKS |
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The micro- to nanostructural aspects of carbonated wollastonite samples, based on a combination of focused ion beam milling and electron microscopy, were found to exhibit features that suggest that carbonation took place with a unique mechanism, both in aqueous solutions and in supercritical CO2: dissolution-precipitation. Previous studies (Putnis 2002) have proposed that such a mechanism implies the development of porosity within the secondary phases only if the reaction proceeds with a "molar deficit," which is the case here. Nano-pores were observed within the silica layers surrounding the unaltered wollastonite grains. Calcium ions may play an important role in determining the structure of the silica layer; in the present study, we propose that the incorporation of minor amounts of Ca in the silica gel can partly prevent its reorganization, via condensation reactions such as:
![]() | (6) |
The occurrence within the silica matrix of micrometer- to nanometer-sized cracks whose formation is most likely contemporaneous with the carbonation reactions (as revealed by the presence of calcite occasionally filling them), presumably constituted a network of channels for the inward and outward transport of aqueous species. The mechanism of formation of such cracks remains unclear; a possible explanation could be that cracks are the result of partial polymerization or dehydration of the silica gel, but more work is needed to support this idea.
Combining these observations at the nanometer-scale with macroscopic measurements of extents of carbonation as a function of time, and then comparing these results with kinetic modeling, results in the conclusion that the silica coatings that formed on the wollastonite grains did not significantly affect the aqueous carbonation rate. However, under conditions that favor the crystallization of small crystals (nano-crystallites), the coatings assume a potential passivating function, either because of pore and crack filling by calcite, or because the silica layer becomes overlain by a dense, homogeneous packing of small calcite crystals.
These novel findings bring new insights about the transport properties of coatings, and show that the methodology developed in the present study is suitable for investigating their overall role on mineral weathering rates. Comparing such an approach with microstructural modeling of secondary phases will help to determine whether the by-products of carbonation potentially passivate silicate surfaces, as well as to assess whether the geologic storage of CO2 by mineral trapping (carbonate sequestration) will be a realistic solution for mitigating rising levels of anthropogenic CO2 in the atmosphere.
| ACKNOWLEDGMENTS |
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| Footnotes |
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1 Deposit item AM-09-053, Appendices A and B. Deposit items are available two ways: For a paper copy contact the Business Office of the Mineralogical Society of America (see inside front cover of recent issue) for price information. For an electronic copy visit the MSA web site at http://www.minsocam.org, go to the American Mineralogist Contents, find the table of contents for the specific volume/issue wanted, and then click on the deposit link there. ![]()
MANUSCRIPT RECEIVED May 20, 2009; MANUSCRIPT ACCEPTED August 3, 2009
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