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Record W1987700697 · doi:10.1021/ie048769y

Electrochemical Method for Remediation of Arsenic-Contaminated Nickel Electrorefining Baths

2005· article· en· W1987700697 on OpenAlexaff
Jenny Weijun Wang, Dorin Bejan, Nigel J. Bunce

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicArsenic contamination and mitigation
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsArsenicNickelChemistryElectrowinningArsenateElectrochemistryInorganic chemistryFerrihydriteCathodeArsineAnodeCopperElectrolysisChlorideElectrodeElectrolyteAdsorptionCatalysis

Abstract

fetched live from OpenAlex

At only ppm concentrations, arsenic is incompatible with the deposition of pure nickel at the cathode of a nickel electrorefining bath. We report an electrochemical method for the removal of arsenic. At a Ti/IrO 2 anode, chloride ion in the bath is oxidized to HOCl, which effects the chemical oxidation of As(III) to As(V). HOCl also reoxidizes any As(III) that might be formed by back-reduction at the pure nickel cathode, preventing cathodic reduction of As(III) to elemental arsenic or to the toxic gas arsine, AsH 3 . If, alternatively, a pure copper cathode is employed, the cathode potential can be controlled to electroseparate copper from nickel during the remediation of the bath, while achieving complete oxidation of As(III). After pH adjustment to ∼4, arsenic is removed with added Fe(III) as a chemisorbed arsenate−ferrihydrite precipitate, leaving the bath essentially free of both iron and arsenic.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.043
GPT teacher head0.332
Teacher spread0.289 · 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 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

Citations10
Published2005
Admission routes1
Has abstractyes

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