Decaying exponential feeding of nonanoic acid for the production of medium-chain-length poly(3-hydroxyalkanoates) by <i>Pseudomonas putida</i> KT2440
Bibliographic record
Abstract
Decaying exponential feeding strategies for the production of medium-chain-length poly(3-hydroxyalkanoates) by Pseudomonas putida KT2440 have been developed as a method of delaying oxygen limitation that is typically responsible for the termination of high cell density aerobic fermentations. Two feeding strategies were evaluated to control the biomass generation rate and consequently control the oxygen uptake rate of the cells. A linear decaying strategy allowed the production of 90 g L–1 dry biomass containing 65% PHA in 31 h with a cumulative productivity of 1.9 g L–1 h–1, while a quadratic decaying exponential feeding rate followed by a constant feeding rate produced 109 g L–1 of dry biomass containing 63% PHA. The latter methodology improved the cumulative PHA productivity to 2.3 g L–1 h–1, which is the highest MCL-PHA productivity ever reported. Analysis of the relationship between the final biomass concentration and the associated maximum cell generation rate (which is directly related to the maximum oxygen transfer rate) indicated that higher biomass levels could be attained by decreasing the substrate feeding rate at high biomass concentrations.Key words: MCL-PHA, high cell density, decaying exponential feeding, oxygen limitation.
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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 | 0.000 | 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".