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Record W2396037739 · doi:10.14288/1.0059530

Arsenic and antimony species in the terrestrial environment

2009· article· en· W2396037739 on OpenAlexaboutno aff
Iris Koch

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsnot available
Fundersnot available
KeywordsAntimonyArsenicEnvironmental scienceChemistry

Abstract

fetched live from OpenAlex

The determination of arsenic and antimony species in environmental samples can be used to assist in toxicity assessment, as well as to yield information about environmental processes. Such information about samples from the terrestrial environment was sought. Existing methods for speciation were adapted, including high-performance liquid chromatography (HPLC) coupled with inductively coupled plasma-mass spectrometry (ICP-MS), for the determination of both arsenic and antimony species, and hydride generation-gas chromatography (HG-GC) with atomic absorption spectrometric (AAS) detection and mass spectrometric (MS) detection, for the determination of antimony species. Arsenate, when added to mycelial cultures of Scleroderma citrinum and Macrolepiotaprocera, was reduced to arsenite, but no further processes (i.e., methylation or formation of arsenosugars or arsenobetaine) were observed. This may indicate that the presence of more complex arsenicals in environmental mushroom specimens is dependent on symbiotic interactions between the fungus and its surroundings, rather than resulting from independent synthesis by the fungus. Pleurotus flabellatus oxidized antimony (III) to antimonate (Sb(OH)6), and formed an antimony-containing metabolite of unknown identity. Water soluble arsenic species were determined in a host of terrestrial and freshwater biota from a hot springs environment (Meager Creek, BC) and from an area impacted by mining and smelting activities (Yellowknife, NWT). Arsenate and arsenite (the more toxic forms of arsenic) were the predominant species extracted from plants, mosses, microbial mats, algae and lichens. Small amounts of arsenosugars and methylated arsenic were detected as well. Arsenobetaine was discovered for the first time in lichens, and it was also the major form of arsenic in freshwater fish. The majority of detectable arsenic in freshwater mussels and snails was as arsenosugars and the tetramethylarsonium ion, respectively. Large amounts of arsenic, of an unknown toxicological and chemical nature, remained unextracted or undetected in all samples. A dimethylantimony compound was found in moss samples from Yellowknife, confirming that methylation of antimony takes place in the environment.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.163
Teacher spread0.154 · 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 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

Citations6
Published2009
Admission routes1
Has abstractyes

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