Thermal and morphological studies of chitosan and agar-agar blends
Bibliographic record
Abstract
Many researchers are attracted to Chitosan based blends due to its properties and potential applications in various fields. The advanced development of Chitosan blends integrates the science and technology of blended materials. The present experimentation is reporting the preparation of Chitosan and Agar-Agar blends (CCA) by chemical mixing of these materials at different compositions. The thermal studies of the prepared blends were studied by differential scanning colorimeter (DSC) and thermogravimetric analysis (TGA) tools. Thermal studies reveal that the lowest degradation temperatures of blends might be attributed to the partial miscibility of CAA blends at particular composition and miscibility due to single glass transition temperature (Tg) between Chitosan and Agar-agar. Bonding nature of sample blends were carried out by Fourier transform infrared (FT-IR) instrumentation. This study reveals the interaction between Chitosan and Agar-agar is partial miscibility. Morphological study reveals that a few aggregated particles, which suggest the partial miscibility of CAA blends. Homogeneity of blend compositions and specific intermolecular interactions of hydrogen bonding type is also observed.
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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 | 0.000 | 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".