Enhanced Biobutanol Production in Batch Simultaneous Saccharification and Fermentation From Agriculture Residues Using Novel Clostridial Fusants
Bibliographic record
Abstract
A novel approach was introduced for the enhancement of biobutanol production in ABE fermenetation. Thermostable Clostridia species were developed through protoplast fusion between mesophilic and thermophilic Clostridial species. Two parental strains of Clostridia species, Clostridium acetobutylicum (ATCC 4259) and Clostridium beijerinckii (ATCC BA101), along with three fused strains, Clostridium acetobutylicum Clostridium thermocellum (CaCt), Clostridium beijerinckii Clostridium thermocellum (CbCt) and Clostridium acetobutylicum Clostridium beijerinckii (CaCb), were examined for biobutanol production using wheat straw as a feed stock in a batch process of simultaneous saccharification and fermentation (SSF). The objective of the study was to use the thermotolerant fused strains to enhance enzymatic activity during the SSF by raising the incubation temperature and thereby eventually increasing biobutanol production. Economic and residence time analysis of SSF found that addition of cellulase increases the cost of fermentation and prolongs biobutanol production cycle. However, results from the current study indicated that the fused strains, at the higher temperature, were able to produce the required enzymes for the saccharification of wheat straw (i.e., endoglucanase, exoglucanase, and b- glucosidase). This will have a major impact on eliminating costs associated with adding enzymes as raw material to the saccharification process. Fused strain CbCt achieved the highest biobutanol production of up to 14.13 g/L (i.e., a yield of 0.29) was reached at 45°C with total sugar consumption of 82%. Enzymatic activity of CbCt was found to be 61.67 FPU (Filter Paper Unit) which was the highest in comparison with other fused strains evaluated in this study. These results indicate a breakthrough for the technological and economical obstacles associated with industrialization of the SSF process.
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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 | 0.000 |
| 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 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".