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Record W7055941811

DEVELOPMENT OF A PASSIVE SAMPLING STRATEGY FOR MONITORING OF ORGANIC POLLUTANTS AND THEIR IMPACTS IN AQUATIC SYSTEMS

2023· dissertation· en· W7055941811 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsAquatic ecosystemPassive samplingWater qualityContaminationSampling (signal processing)PollutantSurface waterDesorptionWater pollution
DOInot available

Abstract

fetched live from OpenAlex

Anthropogenic organic compounds are constantly released into the freshwater environment, demanding a better knowledge of the chemical status of our Earth’s surface waters and sediments. Conventional water quality monitoring only provides “snapshots” of information in time and space. Passive sampling has been proposed as an in-situ time integrative sampling technique to offer better monitoring of the chemical status of our environment. In this thesis, the diffusive gradient in thin films (DGT) technique is introduced because the DGT passive sampler allows for assessing time-weighted average concentrations of various organic contaminants with minimal hydrodynamic influence. \nThis thesis first reviewed the available literature on the potential limitations of DGT samplers. This review summarized the current configurations of the DGT samplers for organics, storage stability of analytes in DGT samplers, kinetic desorption of organic contaminants in sediments and at the interface of water and sediment, and combinations of DGT samplers and bioassays. This review identified two critical gaps: (i) there are only limited studies for desorption kinetics of organic contaminants, especially for hydrophilic to moderately hydrophobic compounds, at the interface of water and sediment; and (ii) there are no studies so far for predicting bioavailability in aquatic biota by in situ DGT technique. Based on these gaps, the objectives of this thesis are to (1) develop DGT samplers that can be applied for the monitoring of organic contaminants across the water-sediment interface in the field with an efficient time; (2) describe the kinetic equilibrium of compounds between sediments and overlying water using a dynamic model; and (3) use DGT-derived concentrations to predict bioaccumulation of organic contaminants by invertebrates through in-situ and laboratory-controlled experiments.\n First, this research conducted a 30-day laboratory simulation experiment, where DGT samplers were tested for adsorption performance and then were deployed in sediments spiked with nine model antipsychotic compounds, i.e., amitriptyline, bupropion, carbamazepine, citalopram, clozapine, duloxetine, fluoxetine, lamotrigine, and venlafaxine. A dynamic model, DGT-induced fluxes in soils and sediments (DIFS), was used to reveal the dynamic resupply processes of organic contaminants from the solid phase to the aqueous phase. This experiment showed that antipsychotics could be continuously depleted from the sediment aqueous phase and captured by the DGT binding gel. The highest resupply ability was observed for lamotrigine and carbamazepine. The adsorption process took control of the spiked sediments under laboratory conditions during incubation time.\nSecond, DGT devices were in situ deployed at the sedimentwater interface and in sediments, downstream of the Saskatoon Wastewater Treatment Plant, on the South Saskatchewan River. Apart from the DIFS model, a dynamic fraction transfer model was also developed to consider the real status of organic contaminants in sediments during field deployment. The field experiment revealed that positive fluxes of antipsychotics were found from sediment to overlying water and the desorption process was dominant within a 15 cm depth of sediments. The results from the three-fraction transfer model can be auxiliary to further explain dynamic desorption kinetics calculated by the DIFS model.\nThird, another 30-day laboratory-controlled experiment, where the benthic oligochaete Lumbriculus variegatus was exposed to freshwater sediments spiked with nine antipsychotic compounds, and DGT samplers were synchronously deployed, was conducted to develop a numerical model for passive bioaccumulation using DGT-derived concentrations. Passive uptake of antipsychotic compounds by the benthic oligochaetes could be successfully modeled by inputting the diffusion-induced concentrations measured by DGT samplers in water and sediments. Fast desorption to the labile fraction of analytes in a short response time accounted for the process of uptake by oligochaetes.\nFourth, DGT devices were in situ deployed at a wastewater-impacted site for 20 days to develop a predictive bioaccumulation model by comparison between the modeled concentration using DGT-derived concentrations in water and those in resident benthic invertebrates, specifically crayfish (Faxonius virilis). The results showed that targeted antipsychotics could be constantly resupplied to the interstitial water and absorbed by crayfish. DGT techniques with a steady-state uptake model in the current study for crayfish could provide a close prediction compared to the measured concentrations for some compounds while it still needs further developments to predict different organic compounds. This thesis has the potential to transform the DGT technique to efficiently monitor emerging contaminants and evaluate their bioavailability in the aquatic cycle, and help protect the safety of our water resources for human and environmental health.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.517
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.225
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.

Study designQualitative
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

Citations1
Published2023
Admission routes1
Has abstractyes

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