Batch production of coenzyme Q10 by recombinant <i>Escherichia coli</i> containing the decaprenyl diphosphate synthase gene from <i>Sphingomonas baekryungensis</i>
Bibliographic record
Abstract
Coenzyme Q10 (CoQ10) is an important antioxidant used in medicine, dietary supplements, and cosmetic applications. In the present work, the production of CoQ10 using a recombinant Escherichia coli strain containing the decaprenyl diphosphate synthase from Sphingomonas baekryungensis was investigated, wherein the effects of culture medium, temperature, and agitation rate on the production process were assessed. It was found that Luria-Bertani (LB) medium was superior to M9 with glucose medium. Higher temperature (37 °C) and higher agitation rate (900 rpm) improved the specific CoQ10 content significantly in LB medium; on the contrary, the use of M9 medium with glucose showed similar values. Specifically, in LB medium, an increase from 300 to 900 rpm in the agitation rate resulted in increases of 55 and 197 % in the specific CoQ10 content and COQ10 productivity, respectively. Therefore, the results obtained in the present work are a valuable contribution for the optimization of CoQ10 production processes using recombinant E. coli strains.
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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) | 0.001 | 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 | 0.001 |
| 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".