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Record W2005488901 · doi:10.1002/ieam.1339

Transformation/dissolution examination of antimony and antimony compounds with speciation of the transformation/dissolution solutions

2012· article· en· W2005488901 on OpenAlexaff
J.M. Skeaff, Robert Beaudoin, Ruiping Wang, Barry Joyce

Bibliographic record

VenueIntegrated Environmental Assessment and Management · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicArsenic contamination and mitigation
Canadian institutionsNatural Resources Canada
FundersNational Academy of Sciences of Belarus
KeywordsAntimonyAntimony trioxideChemistryDissolutionInorganic chemistryMetalNuclear chemistrySulfideSolubilityOrganic chemistryFire retardant

Abstract

fetched live from OpenAlex

Speciation is held to be a key factor in controlling the ecotoxicity of metals in solution. Using the United Nations transformation/dissolution protocol (T/DP) for metals and sparingly soluble metal compounds, we have examined the transformation/dissolution (T/D) characteristics in terms of the concentrations of total dissolved Sb at pH 6 and 8.5 in 1, 10, and 100 mg/L loadings over 7 d as well as the concentrations of Sb(III) and Sb(V) at the 1 mg/L loadings over 28 d, of sodium hexahydroxoantimonate (NaSb(OH)(6)), antimony metal (Sb), antimony trioxide (Sb(2) O(3)), antimony sulfide (Sb(2) S(3)), sodium antimonate (NaSbO(3)), antimony tris(ethylene glycolate) (Sb(2) (C(2) H(4) O(2) )(3)), antimony trichloride (SbCl(3)), antimony triacetate (Sb(CH(3) COO)(3)), and antimony pentoxide (Sb(2) O(5) ). We also measured the concentrations of the dissolved Sb(III) and Sb(V) species at the 1 mg/L loadings. Because of complexing, the trivalent organic Sb compounds exhibited little or no oxidation of Sb(III) to Sb(V). However, oxidation of Sb(III) to Sb(V) was evident for the trivalent inorganic Sb compounds. Conversely, with pentavalent Sb compounds, there was no reduction of Sb(V) to Sb(III). Based on the percentage of Sb in the compound dissolved or metal reacted at 28 d and 1 mg/L loadings, the solubility rankings at pH 6 are NaSb(OH)(6) > Sb(CH(3) COO)(3) > Sb metal > Sb(2) (C(2) H(4) O(2))(3) > Sb(2) S(3) > Sb(2) O(3) > NaSbO(3) ≈ SbCl(3) > Sb(2) O(5). For pH 8.5 the order is NaSb(OH)(6) > Sb(CH(3) COO)(3) > Sb metal > Sb(2) (C(2) H(4) O(2) )(3) > SbCl(3) > Sb(2) O(3) > Sb(2) S(3) > NaSbO(3) > Sb(2) O(5) . We provide worked examples of how the T/D data have been used to derive hazard classification proposals for Sb metal and these selected compounds for submission to the European Chemicals Agency under the Registration, Evaluation, Authorization and Restriction of CHemicals (REACH) legislation.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score0.498

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 communication0.0000.001
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 head0.009
GPT teacher head0.214
Teacher spread0.205 · 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 designObservational
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

Citations9
Published2012
Admission routes1
Has abstractyes

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