Impact of deamidation on the physicochemical properties and air-water interfacial behaviour of gliadin nanoparticles
Bibliographic record
Abstract
Gliadin due to its low water solubility is excellently suited to make biopolymeric nanoparticles through liquid antisolvent precipitation. These gliadin nanoparticles (GNPs) can be utilized to populate and stabilize interfaces. Gliadin, by nature a protein that carries a low charge, can be altered by deamidation. Deamidation effectively alters the physicochemical properties of gliadin through decreasing the protein’s isoelectric point (IEP). The objective of this study is to explore the effect of different degrees of deamidation on gliadin nanoparticle (interfacial) characteristics. Besides altering the physical stability of GNP suspensions, deamidation did alter the functionality of GNPs as interfacial agents. GNP behaviour at the air-water interface is substantially impacted by pH. Particles made with untreated and deamidated gliadin exhibited a greater tendency to adsorb and form strong viscoelastic films at the air-water interface and better foam structures closer to their IEP. The combination of SEM, confocal Raman microscopy and drop tensiometry provides unique insights in the dominant gliadin structures and interactions at the interfacial film. This study provides crucial insights into the potential of deamidation to tailor gliadin and GNP properties for specific food applications.
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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".