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Record W4409123038 · doi:10.2138/am-2024-9652

In situ observation of the subsolidus reactions between petalite and spodumene + quartz in a hydrothermal diamond-anvil cell

2025· article· en· W4409123038 on OpenAlexaboutno aff
Qiang Liu, Jiankang Li, Yongchao Liu, Peng Li

Bibliographic record

VenueAmerican Mineralogist · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSpodumeneHydrothermal circulationQuartzGeologyIn situDiamondMineralogyGeochemistryMaterials scienceChemistryMetallurgyPaleontology

Abstract

fetched live from OpenAlex

Abstract Spodumene and petalite are the primary minerals mined from pegmatites, which are the most important sources of hard-rock lithium resources. In Li-mineralized pegmatites, the subsolidus reaction of petalite → spodumene + 2 quartz (1) and its reverse reaction: spodumene + 2 quartz → petalite (2) produce secondary spodumene, usually in the form of spodumene and quartz intergrowths (SQI), and secondary petalite, respectively. The pressure-temperature (P-T) conditions under which these reactions occur have been investigated using quenching-type methods (e.g., with cold-seal pressure vessels). However, the kinetic parameters of the reactions are difficult to measure in these experiments and are thus frequently overlooked, even though their determination can significantly improve our understanding of the formation of spodumene and petalite in pegmatites. In this study, we employed a hydrothermal diamond-anvil cell to monitor the reaction process and crystallization dynamics in situ. The reaction rates (Vr) of reaction 1 in sample systems with 5–95 wt% H2O ranged from 10−6 to 10−11 cm3/day at 355–753 MPa and 500–600 °C. Vr is driven by the Gibbs free energy change (ΔGr) of the reaction, which is dependent on pressure and temperature. As ΔGr (<0) decreases, Vr rises. Vr also correlates positively with the growth rate (Vg) of secondary spodumene, though Vg is lower than that of primary spodumene formed in pegmatite-forming melts. Hence, by extrapolating experimental ΔGr–Vr data to pressure-temperature (P-T) conditions of pegmatite formation, we can estimate Vr and thus assess Vg for secondary spodumene in natural SQI. For example, the formation of secondary spodumene in the Highbury pegmatite (South Africa) is attributed to reaction 1, which occurred at a Vr of 10−8 to 10−9 cm3/day under conditions of 370 MPa and 400–500 °C. This Vr could correspond to a high Vg, leading to secondary spodumene crystals reaching up to 0.5 cm in size. In contrast, the fine-grained secondary spodumene (e.g., <0.2 mm) in the Tanco pegmatite (Canada) is possibly attributed to a lower Vg under P-T conditions of ∼290–260 MPa and below 400 °C. Reaction 2 at 244 MPa and 600 °C yielded Vr of ∼10−7 cm3/day, approaching the growth rate of petalite crystallized from pegmatite-forming melts. Thus, secondary petalite is easy to form via reaction 2 during pressure drops in pegmatite formation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.217
Teacher spread0.205 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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 routes1
Has abstractyes

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