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Record W2152316493 · doi:10.1080/15320380600847864

Free Cyanide Sorption on Freshwater Sediment and Model Components

2006· article· en· W2152316493 on OpenAlexaboutno aff
Cortney J. Higgins, David A. Dzombak

Bibliographic record

VenueSoil and Sediment Contamination An International Journal · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCassava research and cyanide
Canadian institutionsnot available
FundersWater Research FoundationWater Environment Research FoundationU.S. Environmental Protection Agency
KeywordsCyanideSorptionSedimentChemistryEnvironmental chemistryTotal organic carbonAqueous solutionActivated carbonCarbon fibersDissolved organic carbonInorganic chemistryAdsorptionOrganic chemistryGeologyMaterials scienceGeomorphology

Abstract

fetched live from OpenAlex

The sorption of free cyanide (HCN) on mineral components of sediment, activated carbon, and a freshwater sediment was studied via batch experiments in synthetic freshwater at pH 6.4–7.6. It was found that free cyanide did not sorb to any significant extent on sediment mineral components, but did sorb strongly to activated carbon and moderately to a freshwater sediment. Results of experiments with 100 and 150 μ g/L free cyanide spike amounts resulted in no observed sorption to kaolin clay, Ottawa sand, or alumina in the synthetic freshwater. Extensive removal of free cyanide from the aqueous phase was observed in the partitioning experiments with the powdered activated carbon. Results with whole sediment indicated up to 46% removal of free cyanide from the aqueous phase in experiments with 20 and 50 μ g/L free cyanide. The organic-carbon-normalized distribution coefficient Koc (= Cs/Cwfoc) for free cyanide sorption on the activated carbon (foc = 1.0), 4.2 L/gs, was similar to the Koc value for free cyanide sorption on the freshwater sediment (foc = 0.0031), approximately 12.9 L/gs. The results indicate that free cyanide can sorb to sediments with organic carbon content under freshwater conditions, primarily through interaction of HCN with organic carbon in the sediment.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score0.299

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)0.0000.000

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 head0.022
GPT teacher head0.249
Teacher spread0.227 · 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

Citations11
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueSoil and Sediment Contamination An International JournalSame topicCassava research and cyanideFrench-language works237,207