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Record W1963563284 · doi:10.1021/es0707815

Determination of Methylated Arsenic-Sulfur Compounds in Groundwater

2007· article· en· W1963563284 on OpenAlexaff
Dirk Wallschläger, Jacqueline London

Bibliographic record

VenueEnvironmental Science & Technology · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicArsenic contamination and mitigation
Canadian institutionsTrent University
Fundersnot available
KeywordsArsenicChemistryEnvironmental chemistrySulfurGenetic algorithmInductively coupled plasma mass spectrometryArsenateMass spectrometryGroundwaterChromatographyOrganic chemistryGeologyEcology

Abstract

fetched live from OpenAlex

Arsenic speciation was determined by anion-exchange chromatography-inductively coupled plasma-mass spectrometry (AEC-ICP-MS) in groundwater samples collected from an aquifer impacted by methylated As pesticides. Besides the four expected arsenic species AsO3(3-), As4(3-), (CH3)AsO3(2-) and (CH3)2AsO2-, up to nine other arsenic species were encountered, which constituted a major fraction of the total arsenic concentration in most samples. We then synthesized the thio-derivatives of (CH3)AsO3(2-) and (CH3)2AsO2-, and characterized the formed products by electrospray-tandem mass spectrometry (ES-MS-MS). The presence of (CH3)AsO2S2-, (CH3)AsOS2(2-), (CH3)2AsOS- and (CH3)2AsS2-, was confirmed in the groundwater by retention time matching plus ES-MS-MS in collected AEC fraction, and the presence of the trivalent methylated arsenic species (CH3)AsO2(2-) was suggested based on retention time matching only. These arsenic species have not been observed in ambient waters before, and are likely to occur in many environments containing methylated arsenic species and reduced sulfur compounds. They can persist in some of these particular samples for periods of up to six months without preservation, but tend to convert into the corresponding pentavalent oxy-species. Acidification with HCI shifted speciation equilibria rapidly, and is thus unsuitable for stabilizing samples containing these novel arsenic species; cryofreezing or no sample preservation avoided this artifact.

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 score0.004

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 science0.0000.000
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 head0.006
GPT teacher head0.229
Teacher spread0.223 · 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

Citations91
Published2007
Admission routes1
Has abstractyes

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