MICROPLASTICS IN THE BARRA NORTE AND MOCAMBO BEACH SEDIMENTS, GULF OF MEXICO, MEXICO
Bibliographic record
Abstract
The abundance and characteristics of microplastics (MPs) in the Barra Norte and Mocambo beach sediments in the Gulf of Mexico were investigated. The number of MPs was higher in the Barra Norte (5865 MPs · kg-1) than in the Mocambo (4315 MPs · kg-1) beach sediments. The size of MPs in the Barra Norte and Mocambo beaches was varied between 0.6 - 1.30 mm and 0.91 - 1.25 mm, respectively, and all MPs were fiber. In both beaches, the predominant color of fiber was transparent. The Scanning Electron Microscopy (SEM) images showed that the fibers were fragmented, with surface features such as fissures, cracks, holes, degradation and adhered particles, indicating polymer aging, mechanical weathering, chemical dissolution, and their exposure to UV radiation. Cellophane (CP) and polyethylene terephthalate (PET) were the polymer types detected by the Fourier-Transform infrared (FTIR) Spectroscopy, which were possibly sourced from the textile products and disposable plastic bags, respectively. It was inferred that the abundance of MPs in the Barra Norte beach was due to coastal industrial activities related to the Adolfo López Mateos Thermoelectric Plant. Similarly, MPs in the Mocambo beach was attributed to an inadequate management of urban solid waste in the coastal zone. This study provided an awareness to the scientific community on the threat of MPs contamination in the coastal sediments of the Gulf of Mexico.
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 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 | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".