Novel Oxidized and UV‐Irradiated <i>Araucaria angustifolia</i> Pine Seed Starch for Enhanced Functional Properties
Bibliographic record
Abstract
Starch is an important raw material for industrial processes. Therefore, an investigation of new sources of starch and starch modification methods is necessary. The dual oxidation effect on the properties of the native pine seed starch is investigated. Native starch is extracted from pine seeds and its proximate composition determined. The starch is then subjected to a dual oxidation process in standard NaClO or H2O2 solutions (0.2; 0.5; 0.8 mol L−1) and simultaneous exposure to ultraviolet light irradiation (UVC λ = 254 nm). Thermogravimetric (TG‐DTA) curves reveal enhanced stability to thermal degradation of the dual NaClO/UV process modified starch up to 20%. Differential scanning calorimetry (DSC) shows a strong decrease in gelatinization enthalpy due to the action of the UV‐rays coupled with the sodium hypochlorite (NaClO) solution. The H2O2/UV modified starch has a high final viscosity while the NaClO/UV starch pastes have a low tendency to recrystallize. Furthermore, structural analysis using an X‐ray diffractometer and scanning electron microscopy (SEM) show crystallinity patterns of type A starch and that the shape of the starch granules are unaltered following the modification processes. Color parameters show a strong increase in the L* value (for whiteness) for the NaClO/UV treated samples. The modified starches demonstrate improved physicochemical properties which are suitable for several industrial applications including as stabilizers for frozen bakery products, whitening agents for paper products, and tableting agents for cosmetic and pharmaceuticals products.
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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".