The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Kinetics and mechanisms of dolomite dissolution in neutral to alkaline solutions revisited
Abstract
Steady-state dissolution rates of dolomite were measured at 25°C in a mixed-flow reactor as a function of pH (from 5–12), ionic strength (0.002 < I < 0.1 M), total dissolved carbonate (10−5 < ∑CO2 < 0.1 M), calcium (10−6 −0.003 M), magnesium (3 · 10−7 −0.005 M), and inorganic (sulfate) and organic (acetate, ascorbate, formiate, tartrate, oxalate, citrate, and EDTA) ligands concentration. Dissolution rates were found to be pH-independent at 6 ≤ pH ≤ 8 and to decrease with increasing pH at pH > 8 and ∑CO2 > 10−3 M. In the alkaline pH region, carbonate and bicarbonate ions significantly inhibit dissolution rates at far from equilibrium conditions. Dissolved Ca was found to be a strong inhibitor of dolomite dissolution at pH above 7, whereas dissolved Mg has no effect on the dissolution rate. The surface complexation model developed by Pokrovsky, Schott, and Thomas (1999b) was used to correlate dolomite dissolution kinetics with its surface speciation. At the conditions of this study (5 < pH ≤ 12), dissolution is controlled by the hydration of Mg surface sites and formation of >MgOH2+ species. This Ca and CO3-free surface precursor complex allows us to account for the inhibiting effect of aqueous calcium and carbonate ions on dolomite dissolution. Based on these results and those of Pokrovsky, Schott, and Thomas (1999b), the following rate equation, consistent with transition state theory, was used to describe dolomite dissolution kinetics over the full range of solution composition: \[\mathrm{R}{=}{[}\mathrm{k}_{\mathrm{CO}3}{\cdot}{\{}{>}\mathrm{CO}_{3}\mathrm{H}{^\circ}{\}}^{2.0}{+}\mathrm{k}_{\mathrm{Mg}}{\cdot}{\{}{>}\mathrm{MgOH}_{2}^{{+}}{\}}^{1.9}{]}{\cdot}(1{-}\mathrm{exp}({-}1.9\mathrm{A}/\mathrm{RT}))\] or, alternatively, at pH above 6 and I = 0.1 M, \[\mathrm{R}{=}\mathrm{k}_{\mathrm{Mg}}{\ast}{\cdot}{\{}\frac{\mathrm{K}_{\mathrm{CO}3}{\ast}{\cdot}\mathrm{K}_{\mathrm{Ca}}{\ast}}{\mathrm{K}_{\mathrm{CO}3}{\ast}{\cdot}\mathrm{K}_{\mathrm{Ca}}{\ast}{+}\mathrm{K}_{\mathrm{Ca}}{\ast}{\cdot}\mathrm{a}_{\mathrm{CO}_{3}^{2{-}}}{+}\mathrm{a}_{\mathrm{CO}_{3}^{2{-}}}{\cdot}\mathrm{a}_{\mathrm{Ca}^{2{+}}}}{\}}^{1.9}{\cdot}{[}1{-}(\frac{\mathrm{Q}}{\mathrm{K}_{\mathrm{sp}}^{0}})^{1.9}{]}\] where {>i} stands for surface species concentration (mol/m2), A refers to the chemical affinity of the overall reaction, kCO3, kMg, kMg*, KCO3*, KCa* are constants, and (Q/Ksp0) stands for dolomite saturation index. This equation reflects the formation of two different precursor complexes that contain two protonated >CO3H° and two hydrated >MgOH2+ groups in acid and in neutral and alkaline solutions, respectively. Crystallization of dolomite was found to occur in highly supersaturated solutions as confirmed by outlet solutions analysis and SEM observation of reacted grains. Very low dolomite crystallization rates (that is, ∼10−16 mol/cm2/s) are consistent with those observed in natural conditions and predicted by the empirical model of Arvidson and Mackenzie (1997). Dolomite dissolution rate is promoted by the addition of inorganic and organic ligands with the following effectiveness: sulfate ≈ formiate ≈ tartrate < acetate < ascorbate ≤ oxalate < citrate ≪ EDTA. The effect of these ligands can be modeled within the framework of the surface coordination theory.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Vasconcelos, C., & McKenzie, J. A. (1997) · Journal of Sedimentary Research · doi:10.1306/d4268577-2b26-11d7-8648000102c1865d · Cited by 620
Dolomitization; a critical view of some current views
Hardie, L. A. (1987) · Journal of Sedimentary Research · doi:10.1306/212f8ad5-2b24-11d7-8648000102c1865d · Cited by 603 · cited 1×
“…postulated in this study (reaction 18), is consistent with the dolomite formation reaction earlier proposed by Lippman (1973): Most modern naturally-occurring low-temperatures dolomites are poorly ordered and exhibit large excess of calcium compared to the stoichiometry (Hardie, 1987; Last, 1990).”
The dolomite problem; control of precipitation kinetics by temperature and saturation state
Arvidson, R. S. (1999) · American Journal of Science · doi:10.2475/ajs.299.4.257 · Cited by 447 · cited 4×
“This value, however, is in close agreement with that derived by Arvidson and Mackenzie (1997, 1999) from a simple kinetic model using data on high-temperature dolomite synthesis experiments.”
InfluentialPokrovsky, O. S., & Schott, J. (1999) · Geochimica et Cosmochimica Acta · doi:10.1016/s0016-7037(99)00013-7 · Cited by 153
Teng, H. H., & Dove, P. M. (1997) · American Mineralogist · doi:10.2138/am-1997-9-1005 · Cited by 122
Tentative kinetic model for dolomite precipitation rate and its application to dolomite distribution
Arvidson, R. S., & Mackenzie, F. T. (1997) · Aquatic Geochemistry · doi:10.1007/bf00119858 · Cited by 74
Cited by
The Impact of Pore Water Chemistry on Carbonate Surface Charge and Oil Wettability
Hiorth, A., Cathles, L. M., & Madland, M. V. (2010) · Transport in Porous Media · doi:10.1007/s11242-010-9543-6 · Cited by 465
Dissolution kinetics of calcite, dolomite and magnesite at 25 °C and 0 to 50 atm pCO2
Pokrovsky, O. S., Golubev, S. V., & Schott, J. (2005) · Chemical Geology · doi:10.1016/j.chemgeo.2004.12.012 · Cited by 423
Self-citationThe Link Between Mineral Dissolution/Precipitation Kinetics and Solution Chemistry
Schott, J., Pokrovsky, O. S., & Oelkers, E. H. (2009) · Reviews in Mineralogy and Geochemistry · doi:10.2138/rmg.2009.70.6 · Cited by 414
Self-citationSurface Chemistry and Dissolution Kinetics of Divalent Metal Carbonates
Pokrovsky, O. S., & Schott, J. (2002) · Environmental Science & Technology · doi:10.1021/es010925u · Cited by 336
Self-citationEhrlich, H., Demadis, K. D., Pokrovsky, O. S., & Koutsoukos, P. G. (2010) · Chemical Reviews · doi:10.1021/cr900334y · Cited by 275
Self-citation
Metadata
- Authors
- Pokrovsky, O. S.
- Venue
- American Journal of Science
- Publisher
- American Journal of Science (AJS)
- Published
- 2001-09-01
- Volume
- 301
- Issue
- 7
- Pages
- 597-626
- ISSN
- 0002-9599 (ISSN-L)
- OpenAlex
- W1963542494
- Cited by
- 168
- References
- 6
- FWCI
- 2.85
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Kinetics and mechanisms of dolomite dissolution in neutral to alkaline solutions revisited. https://app.cochat.ai/papers/10.2475/ajs.301.7.597
- The paper
- Pokrovsky, O. S. (2001). Kinetics and mechanisms of dolomite dissolution in neutral to alkaline solutions revisited. American Journal of Science. https://doi.org/10.2475/ajs.301.7.597
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.