Fermentative Butanol Production—Perspectives and Scale-Up Challenges
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Sustainable solutions to the use of petrochemical products have been increasingly sought after in recent years. While alternatives such as biofuels have been extensively explored and commercialized, major challenges remain in using heterogeneous feedstocks and scaling-up processes. Among biofuels, higher alcohols have recently gained renewed interest, especially in the context of upcycling agri-food residues and other industrial organic wastes. One of the higher alcohols produced via fermentation is butanol, which was developed over a century ago. However, the commercial production of butanol is still not widespread, although diverse feedstocks are readily available. Hydrolysis of the feedstocks and scale-up challenges in the fermentation and purification of butanol are recurring bottlenecks. This review addresses the current state of fermentative butanol production and opportunities to address scale-up challenges, including purification. With the significant interest and promise of precision fermentation, this review also addresses some of the recent advances and potential for enhanced fermentative butanol production.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it