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Comparison of Glycine and Simulated Mammalian Digestion for Estimating Bioaccessible Cu, Ni, Pb, and Zn in Soils Receiving Smelter Emissions

2006· article· en· W2003187954 on OpenAlexaff
Beverley Hale, Ken Reimer, Chris Ollson, Iris Koch

Bibliographic record

VenueEpidemiology · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsRoyal Military College of CanadaUniversity of Guelph
Fundersnot available
KeywordsSoil waterEnvironmental chemistryDigestion (alchemy)ChemistrySmeltingContaminationArsenicMetalBioavailabilityNitric acidEnvironmental scienceBiologyChromatographySoil scienceEcologyInorganic chemistryPharmacology

Abstract

fetched live from OpenAlex

MS1-02 Abstract: Risk assessment for contaminated sites frequently identifies ingestion of soil as the largest contributor to exposure of people, in particular children, in part because the default value for transfer of metals from ingested material to the bloodstream is 100%. Values less than this default can be used in a site-specific risk assessment; currently, the determination of an alternate value is achieved using in vivo studies, the cost of which are high. Alternates to in vivo studies are in vitro extractions, which purport to identify the amount of metal in the ingested material that is solubilized by gut passage and is thus available for intestinal transfer. These in vitro extractions are numerous, vary considerably in complexity, and are infrequently validated against in vivo studies of the same matrices. The objective of this work was to estimate the bioaccessible amounts of Cu, Ni, Pb, and Zn in 4 soils, 2 of which had elevated metals from smelter emissions and 2 of which were from similar sites but outside the footprint of smelter emissions. These metals were extracted from the soils either by the SBRC method (glycine at pH 2) or by simulated mammalian digestion (chyme), which included saliva, gastric, and intestinal phases. Total metals in these 4 soils were extracted by digestion with concentrated nitric acid as a comparison. Bioaccessible metals were considered to be that fraction of the total metal as determined by nitric acid digestion, which was solubilized by either the glycine or the simulated mammalian digestion. The amounts of these 4 metals that were solubilized by chyme were smaller than those resulting from nitric acid; the amounts of metals solubilized in chyme were very much smaller than the amounts solubilized by glycine. Part of this is likely due to the effect of pH: the final pH of the chyme (after the intestinal phase) is close to neutral, higher than the final pH of the glycine and nitric acid extractions. Efforts to simulate the selectivity of the intestinal barrier for the digested metals by intestinal epithelial (Caco-2) cells were not initially successful. The exposure of the cell monolayer to the chyme caused the layer to detach and the cells to lyse; efforts toward success with this system are continuing.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.058
GPT teacher head0.375
Teacher spread0.317 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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