Reconstructing volatile evolution in melts using zircon-hosted apatite inclusions: Implications for the use of apatite as a fertility indicator
Bibliographic record
Abstract
Abstract Porphyry Cu deposits are genetically associated with oxidized, hydrous, and volatile-rich (e.g., Cl, S) magmas. Magmatic volatiles play a crucial role in the fertility of magmas associated with porphyry Cu mineralization. A continuous, volatile record from volatile undersaturation to fluid saturation in the magma reservoir is significant for understanding the genesis of porphyry Cu deposits. Apatite serves as a reliable recorder of the magmatic-hydrothermal history in porphyry Cu systems, with its volatile evolution providing an effective method for identifying the occurrence of volatile saturation. In this study, we measure the compositions of apatites occurring as inclusions in various minerals, including zircons, in both fresh and altered pre-mineralization monzogranite and inter-mineralization monzogranite porphyry from the Zhunuo porphyry Cu deposit in the Gangdese belt, southern Tibet. Cathodoluminescence and composition reveal significant differences between unaltered and hydrothermally altered apatites. Primary magmatic apatites exhibit homogeneous yellow to brown luminescence, whereas hydrothermally altered apatites display a wide range of distinctive luminescence colors (e.g., dull yellow-green, green, and gray). Furthermore, primary magmatic apatites show a significantly higher Mn/Fe ratio (>1.5) and rare earth element (REE) plus Y contents (>4500 ppm) compared to hydrothermally altered apatites (Mn/Fe < 1.5, REE+Y < 4500 ppm). Zircon-hosted apatite inclusions demonstrate decreasing XCl/XOH ratios (∼1.0–0.2) with increasing XF/XOH (2–11) and XF/XCl (4–48) ratios, indicating volatile exsolution during or prior to zircon crystallization in the magma chamber. Phenocryst-hosted apatite inclusions and groundmass apatite crystals have comparable volatile compositions, characterized by higher XF/XOH (5–25) and XF/XCl (15–75) but lower XCl/XOH (mostly <0.3) compared to zircon-hosted apatites. We infer that the phenocryst-hosted apatite inclusions may have formed during/after fluid exsolution or may not escape re-equilibration with the residual melt due to the less robust nature of their silicate hosts. The calculated melt Cl contents, derived from low-XF/XCl zircon-hosted apatites in the monzogranite porphyry are 0.17 ± 0.06 wt%, overlapping with those of the monzogranite (0.12 ± 0.04 wt%). The relatively high Cl contents of primary ore-forming magmas likely facilitate the effective extraction of Cu from the melt into the hydrothermal fluid. Our study highlights that apatite-in-zircon is more valuable than non-zircon-hosted apatite grains for reconstructing melt volatile evolution and could be a better Cu-fertility indicator for porphyry Cu mineralization than other forms of apatite.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".