Aerobic biodegradation of sulfolane using <i>Archaea</i> and <i>Pseudomonas</i> strains
Bibliographic record
Abstract
Abstract BACKGROUND Sulfolane, an industrial solvent commonly used for sweetening natural gas, has recently emerged as a contaminant of concern in Alberta because of its widespread detection around many gas processing sites. In the work reported in this paper, the aerobic biodegradation of sulfolane by Pseudomonas strain or Archaea strain and mixed bacterial cultures was studied. The evaluation was furtherly conducted using Pseudomonas which had been acclimated to water contaminated with sulfolane. The impacts of co‐contaminant, initial sulfolane concentration and soil content on biodegradation of sulfolane using acclimated Pseudomonas were also investigated. RESULTS The results showed that Pseudomonas degraded sulfolane at a rate of 2.03 mg L −1 h −1 while Archaea strain degraded sulfolane at a rate of 0.04 mg L −1 h −1 . Pseudomonas and Archaea inoculated with aquifer sediments containing indigenous microbes achieved a higher sulfolane degradation rate. Acclimation of Pseudomonas to sulfolane environment sufficiently mitigated the lag period before the onset of the biodegradation process. CONCLUSIONS Pseudomonas is a good candidate for aerobic biodegradation of sulfolane in groundwater. Aerobic biodegradation of sulfolane by Pseudomonas can be significantly enhanced through inoculation with sulfolane‐contaminated sediments or acclimatization to sulfolane environment. © 2022 Society of Chemical Industry
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".