Optimization and kinetics of glucose production via enzymatic hydrolysis of mixed peels
Bibliographic record
Abstract
The optimization and kinetics of glucose production via enzymatic hydrolysis of mixed peels were carried out. The substrate was characterized using proximate analysis and hydrolysis. The process was optimized using response surface methodology while the kinetics of the hydrolysis was studied using Michealis-menten model. The results obtained showed that the mixed peels have high hemicellulose content, hydrolysable carbohydrate and cellulose. The optimum conditions for glucose yield of 79% by enzymatic hydrolysis are temperature of 36 °C, time of five days, pH of 4.55 and enzyme dosage of 0.428 g/50 mL. Enzymatic hydrolysis obeyed Michealis-Menten kinetic model with spontaneous and feasible reactions. Therefore, the results have proved that mixed peels (cassava and potato peels) is a good substrate for glucose production and study of other waste peels as feed-stock is recommended.
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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) | 0.000 | 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 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".