A critical review on temperature-mediated marine plastic biodegradation
Bibliographic record
Abstract
Biodegradation offers a promising solution to marine plastic pollution. Temperature plays a significant role in biofilm development and microbial dynamics. However, comprehensive studies on the effects of temperature on marine plastic biodegradation remain limited, as most research focuses on individual and moderate temperatures, overlooking how temperature variations across polar to tropical marine environments interact with other ecological factors to influence plastic biodegradation. This review summarizes current research on temperature-induced biofilm formation, microbial succession, and enzymatic depolymerization of plastics. The findings reveal that higher temperatures generally enhance biofilm growth. Notably, cold-tolerant bacteria stimulate the production of extracellular polymeric substances (EPS) to stabilize biofilms and adapt to cold conditions. Microbial succession, particularly within the Proteobacteria phylum, is primarily regulated by temperature, driving shifts in microbial diversity and activity. For different types of plastics, the hydrolyzable ones are degraded via enzymes such as cutinases, lipases, and depolymerases, mostly at mild temperatures. In contrast, non-hydrolyzable plastics are relatively recalcitrant to enzymatic breakdown but can be biodeteriorated by enzyme-generated reactive oxygen species (ROS), with minimal temperature influence due to their slow biodegradation. This review emphasizes the critical role of temperature in biodegradation processes and prospects for promising strategies for improving marine plastic management under the changing climate.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.009 |
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; both teacher heads agree on what is shown here.
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".