Mutagenesis of novel clostridial fusants for enhanced green biobutanol production using renewable and sustainable feedstock
Bibliographic record
Abstract
Biobutanol was produced in the present work through Simultaneous Saccharification and Fermentation (SSF) of cellulosic feedstock (i.e. wheat straw (WS)) and algal biomass. Novel Clostridial fused strains developed earlier underwent mutagenesis for strain enhancement using UV and chemical mutagen (ethyl methanesulphonate). Results for mutated strains showed higher biobutanol production of 14.6 g/L, with total acetone, biobutanol and ethanol (ABE) yield of 0.6 g/g. Moreover, mutated strains showed tolerance to biobutanol toxicity at 15g/L; ~15% increase over literature values. Algal biomass was pre-treated using different thermal, chemical and enzymatic pre-treatments to define its biobutanol production potential compared to WS. A total sugar concentration of 26.4 g/L and glucose concentration of 12.48 g/L was obtained with enzymatic pre-treatment. Biobutanol production through SSF of algal biomass showed maximum concentration of biobutanol of 7.52 g/L with a total ABE yield of 0.48 g/g.
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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) | 0.001 | 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".