MétaCan
Menu
← Back to cohort
Record W4295790169 · doi:10.32469/10355/91614

Degradation and transport of veterinary antibiotics and estrogens in a vegetated buffer strip system

2022· dissertation· en· W4295790169 on OpenAlexfundno aff
Adam H. Moody

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsnot available
FundersAgricultural Research ServiceUniversity of MissouriU.S. Geological SurveyCanada Excellence Research Chairs, Government of CanadaU.S. Department of Agriculture
KeywordsEstronePoultry litterBuffer stripEnvironmental chemistryChemistrySoil waterEnvironmental scienceEstrogenAgronomySurface runoffBiologyEcologyNutrientSoil scienceEndocrinology

Abstract

fetched live from OpenAlex

Knowledge of veterinary antibiotic (VA) and estrogenic hormone persistence in soil is critical to understanding environmental risks associated with these potential contaminants. Understanding sorption and transport of the VAs sulfamethazine (SMZ) and lincomycin (LIN) and the estrogenic hormones estrone (E1) and 17[beta]-estradiol (E2[beta]) is important for assessing and mitigating the movement of these VAs and estrogens to surface or groundwater resources. Vegetative buffer strips (VBS) affect soil properties that enhance the removal of organic pollutants and thus may be a useful tool for mitigating VA and estrogen transport from agricultural lands. Native warm-season grasses used in VBS have shown to enhance soil quality by stimulation of microbial activity and production of DIBOA-Glu (DBG), a phytochemical capable of degrading soil contaminants, such as herbicides. Therefore, the objectives of this study were to: (1) evaluate SMZ and LIN degradation in soils in presence and absence of the phytochemical DBG; (2) evaluate the degradation of steroidal estrogens estrone (E1) and 17[beta]-estradiol (E2[beta]) in soils; (3) and investigate the effectiveness of different VBS vegetation and buffer widths on the transport of SMZ and LIN in runoff from soil amended with VA-spiked poultry litter using simulated rainfall events. Vegetative buffer strip treatments consisted of tall fescue (TF), switchgrass hedge and tall fescue (Hedge+TF), warm season native grasses (Native), and control (no vegetation). Buffer widths were 0, 2, 5, and 9 m. Degradation experiment results for SMZ and LIN in soil followed pseudo first-order kinetics and showed that soil half-lives (t0.5) for SMZ ranged from 17.8-30.1 d, with no significant differences in degradation kinetics between treatments with or without DBG. For LIN, results showed t0.5 ranged between 9.37-9.90 d, degradation kinetics were similar (no significant difference) between treatments with and without DBG. The results indicated that DBG driven hydrolysis did not play a significant role in degrading either target VA in the soil matrix. These results also showed that degradation of LIN was 2-3 times more rapid than SMZ in soil, suggesting that LIN may be a better choice for use as a broad-spectrum VA given its lower persistence in soil. Degradation experiment results for the estrogenic hormones E1 and E2[beta] in VBS soil showed that the half-life (t0.5) for E1 ranged between 4.71-6.08 d and the half-life for E2[beta] ranged between 5.59-6.03 d. Both estrogens followed pseudo first-order degradation kinetics. Results showed that E1 was present as a metabolite in the E2[beta] treated mesocosms, and conversely, E2[beta] was present as a metabolite in the E1 treated mesocosms. The transformation of E2[beta] to E1, and vice-versa, was rapid with high metabolite concentrations in all mesocosm treatments within 24 h. The interconversion of E2[beta] and E1 in soil results in greater overall persistence, leading to more sustained estrogenicity and greater environmental risk associated with land application of these two estrogenic compounds. Results from the VBS runoff experiment showed that the VBS buffer width impacted VA loads much more than vegetation treatment. The VBS treatments were very successful at achieving sediment load reductions compared to the bare ground control (reductions of 40 percent at 2 m, 70 percent at 5 m and 86 percent at 9 m), but the grass treatments had greater runoff compared to the control. This limited the ability of the VBS to reduce VA loads in runoff as increased infiltration was not a mechanism for VA retention in this study. However, VBS treatments significantly reduced total (dissolved-phase + sediment-bound) SMZ and LIN loads in surface runoff by 29 to 62 percent). Total and dissolved-phase VA loads were significantly reduced only by TF treatment while there was no significant vegetation effect for sediment-bound VAs. Buffer width was a more significant factor for total, dissolved-phase, and sediment-bound LIN loads, with significant load reductions for each increase in width, while total and dissolved-phase SMZ had similar load reductions at each width. Sediment-bound loads of both VAs were strongly affected by buffer width. Among grass treatments, TF was overall most effective at reducing total VA loads in runoff (55 percent for SMZ and LIN). The results showed that grass treatment had less effect on VA loads than buffer width, and the grass treatments tested here were less effective at reducing SMZ and LIN loads in surface runoff than has been demonstrated for other contaminants, such as sediment, nutrients, and herbicides. To effectively reduce these VA loads in runoff, especially dissolved-phase transport, would require lower source-to-buffer area ratios and more land out of production than for other agricultural contaminants.

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 score0.020
Threshold uncertainty score0.040

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)0.0000.000

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 head0.019
GPT teacher head0.276
Teacher spread0.257 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same topicPharmaceutical and Antibiotic Environmental Impacts→French-language works237,207→