Encapsulation of Biomolecule (Hexanal) Using Multilayer Electrospun Nanofibers (β-Cyclodextrin/PVA/PLGA) for Controlled Release to Extend the Postharvest Shelf Life of Mango Fruits (Alphonso)
Why this work is in the frame
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Bibliographic record
Abstract
Electrospun multilayer nanofiber matrices developed using β-cyclodextrin, poly(vinyl alcohol), and poly(lactic- co -glycolic) acid effectively encapsulated the hexanal biomolecule and facilitated its controlled release. The multilayer nanofiber matrices loaded with hexanal (overlay method) are characterized through scanning electron microscopy (171 nm), transmission electron microscopy (73 nm), Fourier transform infrared spectroscopy (peak at 1716 cm –1 corresponds to hexanal), X-ray diffraction (12.13 and 18.69°), and thermogravimetric analysis (340 °C). Fruits treated with hexanal-loaded multilayer nanofiber matrices by the overlay method recorded a lower loss in physiological weight, pH, total soluble solids, and total sugar content (17.61%, 5.15, 20.05° Brix, 17.32%, whereas in control 26.99%, 5.75, 23.08° Brix, and 21.34%, respectively, on 21st day of observation), and furthermore, the firmness, titratable acidity, and vitamin C (11.86 N/m, 0.54, and 8.53%) were higher than those of control (6.12 N/m, 0.38, and 5.09%, respectively). The shelf life of mango fruits (var. Alphonso) treated with multilayer nanofiber matrices was extended up to 23 days compared to that of the control fruits (12 days). Thus, the overall results suggested that multilayer nanofiber matrices effectively encapsulate hexanal and regulate its release slowly, which could be effectively used to enhance the physical and biochemical components and shelf life of fruits.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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