Green Synthesis of Glycerol-Plasticized Chitosan Biofilms Containing Macerated St. John's Wort Oil
Bibliographic record
Abstract
Abstract: In this study, St. John's Wort oil was obtained by maceration, a tradi-tional method, using olive oil macerate. St. John's Wort oil was added to chi-tosan-based biofilms as an additive, and chitosan-based biofilms containing chi-tosan/St. John's Wort oil (SJWO) were obtained. Biofilms were characterized by FTIR. The preparation and physical potential use of these films are presented. The porosity, swelling capacity, thickness, degradation rates, pore volumes and opacity of biofilms were determined. It was observed that as the amount of oil entering the structure increased, the thickness of the film increased and its swelling properties decreased. The thickness and opacity of CN/SJW-0.2, CN/SJW-0.6 and CN/SJW-0.8 biofilms were determined as 0.17, 0.28 and 0.30 mm and 1.21, 0.98 and 0.94, respectively. It was determined that increasing the amount of SJWO in-creased the film thickness and decreased its opacity. The pore volume (Vp) values of CN/SJW-0.2, CN/SJW-0.6, and CN/SJW-0.8 were calculated as 0.098, 0.0085 and 0.0086. The porosity values of the films CN/SJW-0.2, CN/SJW-0.6 and CN/SJW-0.8 were determined as 0.01952, 0.00172 and 0.00175 re-spectively.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 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".