Production of Bioplastics from Renewable and Sustainable Feedstock Resources
Bibliographic record
Abstract
This study illustrates the potential opportunity for the utilization of hemp to produce PHB (poly(3-hydroxybutyrate). The objective of the study was to optimize simple sugar availability from hemp for Ralstonia eutropha. The use of three pre-treatment methods (grinded – 5% NaOH – Autoclave at 121 oC for 60 minutes) was able to provide a better fractional insoluble solids (FIS) of ≃ 61 % that was significantly better compared to other combinations of pre-treatments studied. Optimum enzyme dosage was also determined by comparing different enzyme concentrations and found that three enzymes should contain a dose of 1.5 g /L. The optimum pretreatment and hydrolysis conditions resulted in a better enzyme hydrolysis yield of 10.9 % and PHB yield of ≃ 43 %. Results also demonstrate that sonification did not improve PHB recovery, while pH control increased PHB recovery. Keywords: Hemp, Ralstonia eutropha, PHB, Pre-treatment, Enzyme Hydrolysis
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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) | 0.001 | 0.001 |
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".