Desorptive Behavior of Pentachlorophenol (PCP) and Phenanthrene in Soil–Water Systems
Bibliographic record
Abstract
Recent investigations have prompted the need for a better understanding of the complete desorptive behavior of hydrophobic organic compounds in soils. The present study evaluated the irreversibilities associated with the desorption of pentachlorophenol (PCP) and phenanthrene from different types of soils. The study also examined the influence of solid–liquid ratio of the current batch desorption tests, specifically the completeness and accuracy of data gathered for establishing isotherms. Results demonstrated that the desorption of PCP and phenanthrene from contaminated soils can lead to three different types of behavior: complete reversibility, partial reversibility, or total irreversibility. The equilibrium adsorption constant (Kd) is identified as a key parameter that indirectly sets the extent of hysteresis during the reverse process of desorption. According to the data, irreversibility occurs more in soils with a large adsorption capacity, that is, when Kd is approximately 50 mL/g or more in the case of the phenanthrene– and PCP–soil systems evaluated. Furthermore, to facilitate the desorption experiments overall, the study proposes selection criteria for the solid–liquid ratio of batch tests to allow for variations in the adsorption capacity of each soil.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".