Molecular Description of the Formation and Structure of Plasticized Globular Protein Films
Bibliographic record
Abstract
To optimize the properties of plasticized globular proteins films, a clear comprehension of the structure and molecular events occurring during film formation is required. In this work, the structural organization of beta-lactoglobulin (beta-lg) films plasticized with diethyelene glycol are investigated for the first time during the entire film formation process by attenuated total reflectance and transmission infrared spectroscopy. The films are made by a common two-step procedure consisting of a first heat treatment (80 degrees C/30 min) followed by the casting of the film-forming solution for dehydration. Heating at 80 degrees C leads to the self-aggregation of the proteins with a conversion of regular secondary structures into antiparallel beta-sheets. The kinetics of the conformational conversion shows that approximately 10% of the amino acids are involved in beta-sheets after the first step. Dehydration induces a further aggregation, with approximately 46% of the amino acids involved in beta-sheets in the final film. Water evaporation results in the association of the aggregates formed during the heating step. The presence of the plasticizer during water removal is essential as it allows specific conformational rearrangements into extended beta-sheets and ordering of the polypeptide chains. This work underlines that the assembly of building blocks is common in beta-lg networks and it emphasizes the widespread occurrence of beta-structures in synthetic and natural protein networks.
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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) | 0.001 | 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".