Glycerol Utilization as Substrate for Ethanol Production in Escherichia coli Recombinant under an Aerobic Condition
Bibliographic record
Abstract
The utilization of glycerol as a substrate for ethanol production in E. coli recombinant harboring ethanologenic gens (PDC and ADHB) under aerobic conditions was investigated. This research was conducted by using E. coli BW25113 which compared the growth characteristics on glycerol and glucose as carbon source. E. coli can grow well on both substrates and it consumed glycerol faster than glucose. On glucose, E. coli occurred overflow metabolism that indicated by high acetate accumulation. Meanwhile, on substrate of glycerol the acetate accumulation could be reduced. Using glycerol substrate on E. coli increased piruvate accumulation, comparing with glucose. Therefore, the growth characteristic of glycerol was more effective. In E. coli ∆pta/pHfdh/pTadhB-pdc utilized glycerol substrate was able to accumulate pyruvate as intermediate metabolite for produce 2.18 gL-1 ethanol.
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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".