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Record W4408303346 · doi:10.1016/j.clay.2025.107777

A surface charge approach to characterize serpentine reactivity for carbon mineralization

2025· article· en· W4408303346 on OpenAlexafffund
Xueya Lu, Gregory M. Dipple, Marek Pawlik

Bibliographic record

VenueApplied Clay Science · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsUniversity of British Columbia
FundersCollege of Sciences - Department of Ocean and Earth SciencesNatural Sciences and Engineering Research Council of CanadaUniversity of British Columbia
KeywordsMineralization (soil science)Reactivity (psychology)Carbon fibersMineralogyChemical engineeringGeochemistryChemistryMaterials scienceGeologyEnvironmental chemistrySoil scienceSoil waterComposite materialEngineering

Abstract

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Antigorite, lizardite and chrysotile are serpentine minerals that act as Mg 2+ donors during carbon mineralization involving ultramafic rocks and tailings. The reactivity of these minerals is measured by the total amount of Mg 2+ that can be leached under appropriate time and conditions for the proposed carbon mineralization technology. Their dissolution processes were examined under ambient conditions to elucidate the sources and mechanisms of Mg 2+ release. Results from dissolution experiments and zeta potential measurements are reported here. Prior to leaching, all three serpentine polymorphs exhibited highly alkaline IEPs at approximately pH 11.9 and higher, which correlated with their high Mg 2+ to Si 4+ ratios (i.e., Mg/Si ratio). As dissolution proceeded, a decrease in both zeta potential values and Mg/Si ratio was observed, reflecting the non-stoichiometric dissolution of the serpentines and highlighting polymorph-specific variations. Post-leaching IEP measurements revealed that the degree of surface alteration is closely linked to changes in zeta potential. The following order of increasing carbon mineralization reactivity is established: antigorite < lizardite < non-asbestiform chrysotile < asbestiform chrysotile. Among the polymorphs, antigorite, which released the least Mg 2+ , showed the most significant reduction in zeta potential and a shift to an acidic IEP around pH 5. In contrast, asbestiform chrysotile, with the highest Mg 2+ release, exhibited lower zeta potential reduction while maintaining an alkaline IEP near pH 9. Non-asbestiform chrysotile leached less Mg 2+ and showed moderate zeta potential reduction. This is followed by lizardite, which released even less Mg 2+ , retained an alkaline IEP around pH 11 and demonstrated uniform dissolution with only a slight decrease in zeta potential. These observations suggest that early-stage Mg 2+ leaching from serpentine is predominantly a surface process that significantly influences the electrokinetic behaviour of the minerals. Higher Mg 2+ release does not correlate with increased solubility, as the Mg 2+ ions are not derived from bulk dissolution. The lack of a 1:1 relationship between Mg 2+ leaching and net change in zeta potential emphasizes the distinct electrokinetic and surface dissolution behaviours among serpentine polymorphs. The findings from zeta potential analysis offer valuable insights into the reactivity contribution of serpentine minerals during carbon mineralization involving ultramafic-type feedstocks. • Accurate reactivity characterization of serpentine minerals is crucial for CCS and CDR approaches using ultramafic-type feedstocks. • Carbon mineralization reactivity of serpentine is primarily sourced from surface dissolution rather than bulk dissolution. • Zeta potential provides insight into Mg 2+ /Si 4+ composition, degree of surface alteration, and polymorphic variation of serpentine. • IEP shift and reductions demonstrate the effect of serpentine morphologies on its surface dissolution characteristics. • Variations in zeta potential shape and width indicate greater dissolution in finer particles compared to coarser ones.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.266
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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