Continuous ex situ recovery of volatile monoterpenoids produced by genetically engineered <i>Escherichia coli</i>
Bibliographic record
Abstract
Abstract Monoterpenoids are a large group of natural, speciality chemicals. Their global demand is surging and the use of engineered microbial hosts such as Escherichia coli is a compelling strategy to sustainably and economically produce these molecules at scale. However, most monoterpenoids are highly volatile, which presents unique challenges for their recovery. The use of biphasic fermentations employing a dodecane overlay for product capture has emerged as a popular solution to this problem. However, since the subsequent separation of the products from dodecane is exceptionally difficult, biphasic fermentations are not practical. To this end, we report the development of an extraction methodology employing a fluidized bed of an aliphatic methacrylate resin for ex situ recovery of carene that is produced by a genetically engineered strain of E. coli . The resin is suspended in water within a 3D‐printed reservoir and volatilized carene is continuously captured by sparging the gaseous outflow from the condenser of the fermenter through the reservoir. We observed that the adsorption of carene onto the resin follows the Freundlich equation and that the extraction efficiency was chiefly influenced by the rate of agitation of the fermentation broth, the volume of resin enclosed within the reservoir, and the airflow rate into the fermenter. We subsequently used a fractional factorial experimental design to identify optimal levels of each parameter and thereafter improved the extraction efficiency six‐fold over that of a dodecane overlay. Our work establishes strong foundations for the use of solid phase‐transfer separations for the continuous recovery of volatile fermentation products.
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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) | 0.000 | 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".