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Record W7000116036

Effects of pharmaceuticals and personal care products in benthic invertebrates

2008· dissertation· en· W7000116036 on OpenAlexfundno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2008
Typedissertation
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsnot available
FundersMinistry of Agriculture, Food and Rural AffairsOntario Ministry of Agriculture, Food and Rural Affairs
KeywordsEnvironmental impact of pharmaceuticals and personal care productsHyalella aztecaTriclosanBenthic zoneBioaccumulationToxicityBiotaChronic toxicitySediment
DOInot available

Abstract

fetched live from OpenAlex

This thesis investigated the effects of four pharmaceuticals and personal care products (PPCPs) in benthic invertebrates. Analytical methods for their extraction and determination in water, sediment, and biota, were developed and validated. Interactions with matrix coeluents were investigated, revealing that sediment and biota extracts caused significant matrix effects, which reflected the physicochemical properties of each analyte. Effects of four PPCPs were investigated in the midge 'Chironomus tentans ' and the amphipod 'Hyalella azteca,' in water-only and spiked sediment assays. The water-only toxicity (LC50) of the four compounds investigated was 0.20 to 47.3 mg/L, with toxicity rankings of triclosan > 17[alpha]-ethinylestradiol > atorvastatin > carbamazepine. No toxic effects were detected in spiked sediments. Desorption constants of 27.1 and 112.8 L/kg (Atorvastatin), 75.6 and 236.4 L/kg (Carbamazepine), and 21.2 and 232.9 L/kg (17[alpha]-Ethinylestradiol) were calculated for 'C. tentans' and 'H. azteca,' respectively, and revealed the contribution of 'C. tentans,' via bioturbation, to the desorption of PPCPs of log KOW < 3 to overlying water. The Equilibrium Partitioning Principle was used to predict the sediment toxicity of these PPCPs, yielding concentrations at least three orders of magnitude higher than environmental concentrations. Chronic toxicity of 17[alpha]-ethinylestradiol (EE2) was investigated in life-cycle assays, and EC50 values of 1.5 mg/L ('C. tentans' emergence) and 0.36 mg/L ('H. azteca' reproduction) were calculated. Acute and chronic toxicity data were combined to calculate acute-to-chronic toxicity ratios (ACRs) for EE2 of 13 ('C. tentans') and 16 ('H. azteca'). Bioaccumulation studies were conducted with EE2, in water and spiked sediments. Hyalella azteca accumulated EE2 from water, while accumulation by 'C. tentans' was mainly from sediment, reflecting the behaviour and life history of these organisms. Binding of the biota extracts to a vertebrate estrogen receptor was confirmed using a recombinant yeast estrogen receptor assay, suggesting that trophic transfer could represent an additional source of contamination for vertebrate predators. These studies indicate that adverse effects to benthic invertebrates are unlikely to occur at environmental concentrations. Bioturbation could increase the bioavailability of PPCPs through desorption to overlying water, while sensitive vertebrate predators could be exposed to additional sources of EE2 through trophic transfer.

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 score0.003
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.017
GPT teacher head0.244
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 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

Citations0
Published2008
Admission routes1
Has abstractyes

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