Bioprocessing of Crop Residues using Fibrolytic Enzymes and Flavobacterium bolustinum for Enriching Animal Feed
Bibliographic record
Abstract
Flavobacterium bolustinum and its extracellular cellulase were tested for animal feed pretreatment. The fibrolytic enzymes, cellulase and pectinase were applied to various crop residues such as wheat straw, rice straw, corn seeds and sorghum for enriching animal feed. Different parameters like temperature, incubation time and enzyme dose had been optimized for maximum reducing sugar and protein release. The highest amount of reducing sugar obtained was 29.83 mg g -1 dry substrate and soluble protein was 27.34 mg g -1 dry substrate on single cellulase enzyme treatment at 50C for 6 h. An increase in amount of released reducing sugar (39.5 mg g -1 dry substrate) and protein (33.88 mg g -1 dry substrate) was observed when enzyme cocktail (cellulose and pectinase) was used. Solid state fermentation using F. bolustinum had also been performed for all crop residues. It released higher amount of reducing sugar (41.36 mg g -1 ) and protein (47.21 mg g -1
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.
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 | 0.000 | 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 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".