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Record W2326731101 · doi:10.1021/je201018a

An Assessment of Gold Recovery Processes Using Cross-Linked Paper Gel

2012· article· en· W2326731101 on OpenAlexaff
Bimala Pangeni, Hari Paudyal, Katsutoshi Inoue, Hidetaka Kawakita, Keisuke Ohto, Shafiq Alam

Bibliographic record

VenueJournal of Chemical & Engineering Data · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsAdsorptionSulfuric acidChemistryHydrochloric acidInorganic chemistryScanning electron microscopeAqueous solutionChlorideFerricAnalytical Chemistry (journal)Nuclear chemistryMaterials sciencePhysical chemistryChromatographyOrganic chemistry

Abstract

fetched live from OpenAlex

A novel type of adsorption gel was prepared from filter paper by treating it with concentrated sulfuric acid to investigate the efficient adsorption of Au(III) from aqueous acidic chloride media. Various parameters have been examined for the recovery of gold such as effects of hydrochloric acid concentrations, contact time, initial Au(III) concentrations, and temperature. The adsorption of gold was fitted with the Langmuir type adsorption model, and the maximum adsorption capacity of gold was evaluated as 5.05 mmol·g –1 . The kinetics of gold adsorption was interpreted in terms of the pseudofirst-order kinetic model, and the activation energy was evaluated as 61.3 kJ·mol –1 . The gold adsorbed by the paper gel was measured by means of X-ray diffraction spectrum, scanning electron microscope (SEM), and an optical microscope. The inferred mechanism for the adsorption of Au(III), followed by its reduction to elemental gold, was proposed based on the observation of infrared spectroscopic analysis. It was inferred that Au(III) was adsorbed by the coordination to oxygen atom of C–O–C linkage formed after the cross-linking with concentrated sulfuric acid, as well as the oxygen atoms of hydroxyl groups of pyranose rings of paper cellulose. The adsorbed gold can easily be recovered by the incineration method at elevated temperature.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.033
GPT teacher head0.342
Teacher spread0.309 · 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 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

Citations24
Published2012
Admission routes1
Has abstractyes

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