Bio-Based Aerogels from Potato Residues for Glycine Storage and Controlled Release
Bibliographic record
Abstract
Biobased aerogels derived from starch offer a promising pathway for developing sustainable biomaterials. This study examines the use of starch extracted from potato peels to develop aerogels intended for glycine storage and controlled release. The reaction of starch with glutaraldehyde, used as a crosslinker, was demonstrated using Fourier-transform infrared spectroscopy, revealing the formation of hemiacetal bonds. Crosslinking enhanced thermal stability of the aerogels, as shown by thermogravimetric analysis, and improved their resistance to disintegration upon hydration. Glycine, an essential amino acid with agricultural and industrial applications, was loaded into the aerogels, and the release kinetics were evaluated under controlled conditions. Moreover, glycine acts as a neutralizing agent for residual glutaraldehyde, ensuring the suitability of the aerogel for applications where glutaraldehyde toxicity could be a concern. Structural characterization through scanning electron microscopy confirmed the porous architecture of the aerogels and revealed the presence of glycine crystals within the pores. These findings underscore the potential of crosslinked starch aerogels as eco-friendly carriers for bioactive molecules, paving the way for their application in agriculture and other fields.
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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".