Evaluation of Antioxidant Cellulose Nanocrystals and Applications in Gellan Gum Films
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The research described herein shows the treatment of cellulose nanocrystals (CNCs) led to antioxidant properties after 2 h of interaction with a redox pair—hydrogen peroxide (H2O2) and ascorbic acid (AA)—and 20 kGy irradiation. This procedure enhanced the surface of CNCs to react for 24 h with the antioxidant gallic acid (GA) at different mass ratios of CNC/GA (R=0.66 and 8). Each step of the modification was evaluated, but optimal results were found on CNC-H2O2-AA-γ-GA. Different analysis such as Fourier transform infrared spectroscopy exposed the apparition of a new band at 1730 cm−1, which can be explained by the formation of carbonyl groups on CNC. By studying the ultraviolet spectra of the different solutions, it was noticed that at wavelengths ∼290-nm intensity increases, showing a possible formation of aldehyde and carboxylic acids groups. This latter group was evaluated via conductometric titration, observing that CNC-H2O2-AA-γ-GA possesses 132 mmol COOH/kg and 8 mM Trolox eq/mL solution. A reduction in the thermal stability of CNC-H2O2-AA-γ-GA was found with thermogravimetric analysis, which confirms changes to the CNC surface. A 20% solution of the modified CNC-H2O2-AA-γ-GA was introduced onto a gellan gum matrix to create antioxidant film applications and enhanced mechanical properties. Improved (p≤0.05) tensile strength, tensile modulus, and water vapor permeability were observed with a decrease at the elongation at break in the film packaging formulation.
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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 | 0.001 |
| 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 it