MétaCan
Menu
Back to cohort
Record W7020387472

Long-term fate of pharmaceuticals and personal care products in the environment

2021· dissertation· en· W7020387472 on OpenAlexaboutno aff

Bibliographic record

VenueThinkTech (Texas Tech University) · 2021
Typedissertation
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental impact of pharmaceuticals and personal care productsWastewaterGroundwaterEffluentSewage treatmentContaminationSewageSewage sludgeSoil waterSoil contamination
DOInot available

Abstract

fetched live from OpenAlex

Pharmaceuticals and personal care products (PPCPs) have recently emerged as a group of potential environmental contaminants of concern. Interest in their occurrence, fate, and toxicity in both terrestrial and aquatic environments has significantly increased. These contaminants can reach the soil through agricultural runoff, the spreading of manure, and the application of treated wastewater to land. In this study, the fate of PPCPs from the wastewater treatment plant to a land application site where PPCPs can transfer from wastewater to soil and groundwater was assessed. Sorption of PPCPs in soils was determined to contribute a better understanding of the fate of PPCPs in soils, and the uptake of these compounds by plants was evaluated.
\nA study on the occurrence of PPCPs at a wastewater treatment plant and in soil and groundwater at a land application site receiving treated wastewater effluent from the plant showed that target compounds (estrone, 17β-estradiol, estriol, 17-ethynylestradiol, triclosan, caffeine, ibuprofen, and ciprofloxacin) can be detected in wastewater, sewage sludge, soil, and groundwater samples from study sites. Samples were collected quarterly over twelve months for wastewater and sludge samples and over nine months for soil and groundwater samples, and determined using HPLC/UV as the primary mode of analysis with qualitative confirmatory analyses using GC/MS on a portion (20%) of the samples. Results indicated that concentrations of PPCPs in wastewater influent, effluent, sludge solid phase, and sludge liquid phase were in the range of non-detect (ND) - 183 g/L, ND-83 g/L, ND-19 g/g, and ND-50 g/L, respectively. Concentrations in soil and groundwater samples were in the range of ND-319 ng/g and ND-1,745 ng/L, respectively. GC/MS data were consistent with the results of HPLC/UV analyses. Overall, data indicate that PPCPs in the wastewater effluent from the WWTP transport both vertically and horizontally in the soil, and eventually reach groundwater following land application of the effluent.
\nA study on sorption of estrogens, triclosan, and caffeine in Ottawa sand and two soil types (a sandy loam and a silt loam) showed that PPCPs can sorb to both sand and soils. Sorption was determined using batch equilibrium method. Freundlich and linear equations were applied to the sorption data in order to obtain sorption isotherms for each test compound and the respective sorption coefficients (Kf, Kd, and log Koc). Resultsindicated that isotherms were generally linear over the range of concentrations tested. Triclosan had the highest values of Kf (231 in the sandy loam and 344 in the silt loam) and Kd (256 in the sandy loam and 282 in the silt loam). The log Koc values for the PPCPs tested varied from 1.85 to 4.30. Desorption tests over 24 h indicated that caffeine had the greatest desorption capacity (>15%) among the compounds in sandy loam soil, while triclosan had the lowest desorption capacity (<1%) in both soil types. Estrone, 17β-estradiol, 17-ethynylestradiol, and triclosan have a strong tendency to sorb to both soils and their corresponding mobility in these soils would be minimal. If persistent enough, estriol and caffeine would have the best potential for groundwater contamination; however, soil conditions would also have to favor leaching for this to occur. The sorption capacity for sorbents was in an order directly related to organic carbon content: silt loam soil > sandy loam soil > sand. 
\nThe uptake of 17-ethynylestradiol and triclosan from soils by plants was also observed. Pinto beans, Phaseolus vulgaris, were used to determine uptake of both compounds from sand and soil spiked with these compounds once a week for four weeks. Results showed that, in both sand and soil experiments, both 17-ethynylestradiol and triclosan were taken up by bean plants and accumulated in roots more than in leaves. The extent of uptake and accumulation of these compounds in plants grown in sand were higher than in plants grown in soil suggesting that sorption plays a role in limiting the bioavailability of these compounds to plants. In sand, bioconcentration factors (BCFs) of EE2 and triclosan in roots based on dry weight were 1,424 and 11,582, respectively, whereas BCFs in leaves were 55 for EE2 and 85 for triclosan. In soil, the BCF of EE2 decreased from 154 in the first week to 32 in the fourth week while it fluctuated in leaves from 18 – 20. The BCF for triclosan in plants grown in soil increased over time to 12 in roots and 8 in leaves. These results provide information on the uptake potential of PPCPs from soil, which is a potential exposure route for these compounds to terrestrial organisms including humans.

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 score0.004
Threshold uncertainty score0.008

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.022
GPT teacher head0.263
Teacher spread0.240 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueThinkTech (Texas Tech University)Same topicPharmaceutical and Antibiotic Environmental ImpactsFrench-language works237,207