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Record W2331958182 · doi:10.1021/ie400548w

Ion-Exchange-Assisted Electrochemical Removal of Heavy Metals from Dilute Solutions in a Stirred-Tank Electrochemical Reactor: A Mass-Transfer Study

2013· article· en· W2331958182 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2013
Typearticle
Languageen
FieldEngineering
TopicMembrane-based Ion Separation Techniques
Canadian institutionsLakehead University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsElectrolysisImpellerMass transferIon exchangeElectrochemistryChemistryIon-exchange resinVolumetric flow rateContinuous stirred-tank reactorIonAnalytical Chemistry (journal)Materials scienceElectrodeInorganic chemistryChromatographyThermodynamicsElectrolyte

Abstract

fetched live from OpenAlex

The rate of diffusion-controlled removal of Cu 2+ from a dilute solution containing a fluidized bed of ion-exchange resin in a batch stirred parallel-plate electrochemical reactor was investigated. The variables studied were the concentration of ion-exchange resin, impeller rotation speed, and impeller geometry. The rate of mass transfer of Cu 2+ removal was measured in three cases, namely, (i) ion exchange without electrolysis, (ii) electrolysis without ion exchange, and (iii) combined electrolysis and ion exchange. The presence of ion-exchange resin during electrolysis was found to increase the rate of Cu 2+ removal by a factor ranging from 1.18 to 1.78 compared to that obtained by electrolysis alone. A simple mathematical model was developed to account for the enhancing effect of ion-exchange particles. The electrical energy consumption decreased in the presence of ion-exchange resin by an amount ranging from 3.6% to 53%. The radial-flow impeller was found to give higher rates of removal than the axial-flow impeller.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
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 score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.081
GPT teacher head0.313
Teacher spread0.232 · 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