Environmental behavior and mechanistic interactions of biochar-derived dissolved organic matter with microplastics
Bibliographic record
Abstract
Biochar-derived dissolved organic matter (BC-DOM), a critical byproduct of biochar aging, plays a pivotal role in governing the fate of microplastics (MPs) in terrestrial and aquatic ecosystems. As MPs (<5 mm) proliferate globally, their persistence and ecotoxicity threaten soil health, water quality, and food security, depending on the composition and content of organic compounds. The purpose of this review was to examine and analyze the existing studies to explore and summarize the properties and environmental behavior of BC-DOM, and emerging evidence on how BC-DOM interacts with MPs to influence their environmental behavior. BC-DOM, rich in reactive oxygen species-generating aromatic and lipid-like compounds, accelerates MP degradation by promoting photoaging processes (e.g., via singlet oxygen and hydroxyl radicals) that fragment MPs into smaller, more biodegradable particles. Concurrently, BC-DOM alters MP surface properties, enhancing their hydrophobicity and adsorption capacity for co-contaminants like heavy metals, thereby modulating MP mobility and retention in soils and sediments. For instance, BC-DOM with high SUVA 254 values increases MP aggregation in aquatic systems, reducing their bioavailability but potentially prolonging environmental persistence. These interactions carry significant environmental implications: BC-DOM-driven MP degradation could mitigate long-term ecological risks, while its role in MP adsorption may influence contaminant transport across ecosystems. Therefore, long-term studies need to be carried out to fully understand the interaction mechanism between BC-DOM and MPs and its environmental impact to provide a scientific basis for the safe application of BC in soil and aquatic ecosystems.
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 | 0.000 | 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) | 0.011 | 0.001 |
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.
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".