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Record W6922068517 · doi:10.11575/prism/39754

Efficient Extraction of Valuable Metals from Polymetallic Shale Using Leaching and Adsorption Techniques

2022· other· en· W6922068517 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePRISM (University of Calgary) · 2022
Typeother
Languageen
FieldArts and Humanities
TopicLibraries and Information Services
Canadian institutionsnot available
Fundersnot available
KeywordsRoastingOil shaleLeaching (pedology)AdsorptionIlliteLanthanum

Abstract

fetched live from OpenAlex

Polymetallic black shale from the Buckton deposit in Northeastern Alberta, Canada, is an undeveloped resource for vanadium, rare earth elements (REEs), nickel, lithium, and a few other metals. The shale mainly contains quartz, calcite, illite and pyrite. The typical method to extract metals from shale is roasting followed by water/acid leaching. In this work, the valuable elements are extracted from polymetallic black shale using a low-temperature sulfation roasting-water leaching method. Sulfation roasting enables the destruction of illite releasing vanadium ions as well as releasing REEs, lithium and nickel from their respective mineral phases. We work on comparing microwave roasting and conventional roasting under varying roasting parameters including temperature, volume of sulfuric acid, and time, followed by water leaching, to determine the optimum leaching efficiencies of metals. Microwave roasting was found advantageous over conventional roasting in a scaled-up process and with a significant reduction in roasting temperature (by 40°C) and time (by 30 minutes), with an obvious reduction in energy consumption. A maximum leaching efficiency of 100% of gadolinium, 85% of ytterbium, 84% of cerium, 76% of nickel, 74% of vanadium, 59% of lithium, 34% of neodymium, 21% of yttrium, and 13% of lanthanum was achieved under optimum conditions. Extraction and recycling the use of rare earth elements (REEs) are very significant in meeting the worldwide demand for REEs. In view of recent advancements in adsorption technologies, amidoxime functionalized cellulose were synthesized and employed for removal of lanthanides (Nd3+, Ce3+, La3+, Y3+, Gd3+, and Yb3+) from aqueous solutions. The functionalized adsorbent was characterized by Fourier transform infrared spectroscopy (FTIR) and the concentration of REEs solution before and after adsorption were determined by inductively coupled plasma optical emission spectroscopy (ICP-OES). The adsorption kinetics of rare earth ions revealed that an uptake of 50% was achieved within the first 30-60 min. The kinetics of REEs adsorption was modelled better by a pseudo-second-order kinetic rate equation suggesting chemisorption rate-determining step.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.848
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0310.000

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 head0.024
GPT teacher head0.204
Teacher spread0.181 · 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