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Record W3107389084 · doi:10.1360/tb-2020-0058

Indium as a critical mineral: A research progress report

2020· article· en· W3107389084 on OpenAlexaboutno aff
Xiaofeng Li, Yiting Zhu, Jing Xu

Bibliographic record

VenueChinese Science Bulletin (Chinese Version) · 2020
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsnot available
Fundersnot available
KeywordsIndiumSkarnGeochemistryGeologyMineralMetallurgyMaterials scienceHydrothermal circulation

Abstract

fetched live from OpenAlex

Indium (In) is a post-transition metal of Group 13 in the Periodic Table. It is a highly volatile chalcophile element which behaves in a moderately to highly incompatible manner. Abundance of indium in the continental crust is estimated at 0.01 ppm. Indium has been widely used in high-tech products, especially in emerging industry technology and national defense and security sectors. Therefore, it is called “critical mineral” in developed countries. Indium becomes one of the critical metals to support vigorous development of China’s emerging strategic industries. More than 90% of indium is recovered as a by-product of zinc mining. The most recent assessment of global indium reserves in 2018 was 79000 tones. China accounts for more than 18.2% of global indium reserves, while Peru, Canada, USA and Russia together own more than 62.4%. Indium occurs in different types of ore deposits. Indium-rich deposits include volcanic- and sediment-hosted exhalative massive sulfide deposits, epithermal deposits, polymetallic base metal vein-type deposits, granite-related tin-base-metal deposits, skarn deposits and porphyry copper deposits. These deposits are commonly associated with active oceanic or continental plate margins and orogenic belts with steep geothermal gradients due to enhanced magmatic activities. Most of indium deposits are associated with highly differentiated granites. Biotite is the main carrier mineral of indium. Recent research indicates that the enrichment of indium does not increase with the increase of crystallization differentiation in felsic magmatic systems. The increase of magnesium concentration in biotite reduces the potential of indium mineralization. The joint action of alkaline and sub-alkaline mafic and granitic magmas is an important prerequisite for the formation of high-grade indium deposits. Volcanic systems provide favorable conducive environment for the enrichment of indium. There are few studies on the enrichment of indium in silicate minerals. Garnet is a major tin-bearing skarn mineral at the Dulong Sn-Zn deposit of Yunan Province. Based on LA-ICP-MS analysis, indium concentration is 166.0–629.0 ppm in the garnet that was formed in the early skarn stage and 1.6–10.0 ppm in the garnet that was formed in the late skarn stage. The data indicate that the earlier garnet is enriched in indium than the later one. The data also show that indium has an apparent covariant relationship with tin, but an inverse correlation with aluminum. Multi-stage fluid activities in the evolution of magmatic hydrothermal processes are the key to enrichment of indium. Overprinting of multi-stage hydrothermal processes plays an important role in the formation of high-grade indium deposits. For example, indium-rich sphalerite in the Hämmerlein skarn polymetallic deposit in Germany occurs around the early indium-free sphalerite grain, demonstrating overprinting of later indium-rich ore fluids. There are three ways for indium to substitute for zinc in sphalerite: (1) Cu++In3+↔2Zn2+, (2) Cu+/Ag++In2+↔2Zn2+, and (3) In3++Sn3++(vacancy)↔3Zn2+. The substitute of indium for zinc in sphalerite is slightly different due to the ore-formingelement (Cu, Ag, Sn, Ga, Ge, etc.). Tin can replace zinc with different valence state and other elements depending on the precipitation environment of sphalerite. Recent studies have shown that there are “indium window” and “indium explosion” that exist during the process of indium mineralization. Modern analytical technology and experimental simulation reveal the mechanism for “indium explosion” effect in the Dulong Sn-Zn deposit of Yunan Province. In this mechanism, lattice displacement and vacancies in small number within sphalerite facilitate indium enrichment in {111} direction in sphalerite. In summary, several items should be followed for the future research and exploration of resources of critical mineral indium: (1) Fully understand the occurrence state of indium in major carrier minerals and reveal mechanism for selective super-enrichment of indium; (2) improve our understanding of indium enrichment mechanism in different geological settings, which would effectively guide future exploration of indium deposits; (3) renovate indium recycling technologies and seek its substitutes.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.004

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 head0.027
GPT teacher head0.362
Teacher spread0.336 · 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 designNot applicable
Domainnot available
GenreReview

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".

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Citations26
Published2020
Admission routes1
Has abstractyes

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