A novel solid–liquid two‐phase partitioning bioreactor for the enhanced bioproduction of 3‐methylcatechol
Bibliographic record
Abstract
The bioproduction of 3-methylcatechol from toluene via Pseudomonas putida MC2 was performed in a solid-liquid two-phase partitioning bioreactor with the intent of increasing yield and productivity over a single-phase system. The solid phase consisted of HYTREL, a thermoplastic polymer that was shown to possess superior affinity for the inhibitory 3-methylcatechol compared to other candidate polymers as well as a number of immiscible organic solvents. Operation of a solid-liquid biotransformation utilizing a 10% (w/w) solid (polymer beads) to liquid phase ratio resulted in the bioproduction of 3-methylcatechol at a rate of 350 mg/L-h, which compares favorably to the single phase productivity of 128 mg/L-h. . HYTREL polymer beads were also reconstituted into polymer sheets, which were placed around the interior circumference of the bioreactor and successfully removed 3-methylcatechol from solution resulting in a rate of 3-methylcatechol production of 343 mg/L-h. Finally, a continuous biotransformation was performed in which culture medium was circulated upwards through an external extraction column containing HYTREL beads. The design maintained sub lethal concentrations of 3-methylcatechol within the bioreactor by absorbing produced 3-methylcatechol into the polymer beads. As 3-methylcatechol concentrations in the aqueous phase approached 500 mg/L the extraction column was replaced (twice) with a fresh column and the process was continued representing a simple and effective approach for the continuous bioproduction of 3-methylcatechol. Recovery of 3-methylcatechol from HYTREL was also achieved by bead desorption into methanol.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".