Microbial photoproduction of n-heptane
Bibliographic record
Abstract
The photoenzyme fatty acid photodecarboxylase (FAP) has emerged as a promising catalyst for the redox-neutral biological production of hydrocarbons. Previous studies have shown that FAP can efficiently convert medium-chain fatty acids such as n-octanoic acid into hydrocarbons, outperforming its natural long-chain fatty acid substrates (C16-C18). Such observation expands the potential applications of FAP to include solvents and jet fuels. However, the limited availability of natural sources of n-octanoic acid poses a challenge to the industrial implementation of n-heptane bioproduction. This study investigates the hydrocarbon synthesis capacity of an E. coli strain that expresses FAP and produces n-octanoic acid, the precursor to n-heptane, via a specific octanoyl-ACP thioesterase. Several FAPs and thioesterases were tested. A blue light-inducible promoter ensured high expression of both enzymes, eliminating the need for chemical inducers. Fusion of FAP with thioredoxin increased n-heptane production 12-fold. Using a co-cultivation strategy, where one strain produces n-octanoic acid and another strain converts it to n-heptane, increased hydrocarbon production 14-fold compared to co-expressing FAP and thioesterase. Co-cultures operated in batch mode in 100-mL photobioreactors enabled the recovery of >90%-pure n-heptane, yielding 272 mg·L-1 over 56 h. This work lays the foundation for the development of an industrial bioproduction of n-heptane.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".