Microplastics as vectors of pharmaceuticals in aquatic organisms – An overview of their environmental implications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Microplastics (MPs) have been recognized as an environmental threat due to their persistence, ubiquity, and toxicity potential. Due to their small size, MPs are endowed with a large specific surface area, having the ability to sorb and accumulate other contaminants that co-exist with them in the aquatic environment as it is the case of pharmaceuticals. In this way, MPs can act as vectors, facilitating the contact of pharmaceuticals with aquatic organisms. Once ingested, MPs may desorb pharmaceuticals, increasing their bioavailability, which could promote their bioaccumulation and biomagnification through the food web as well as modulate their toxic effects. Microplastics may differently impact the toxicity of pharmaceuticals by potentiating (synergism) or decreasing (antagonism) it. This review aims at highlighting the role of MPs as vectors of pharmaceuticals to aquatic organisms and how the interaction of these emerging contaminants may influence the bioaccumulation and toxicity of pharmaceuticals on biota. Examples of different scenarios resulting from the exposure of aquatic life to MPs and pharmaceuticals are presented. Future studies should cover a broader range of polymer types and environmental realistic concentrations to better understand the impact of MPs on the bioaccumulation and toxicity of pharmaceuticals.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it