Formation of whey protein isolate–dextran conjugates by Maillard reaction with ethanol-water pretreatment
Bibliographic record
Abstract
A simple, efficient, and low-cost Maillard reaction method was developed through ethanol-water pretreatment. The formation of whey protein isolate (WPI)–dextran conjugates was confirmed using the degree of glycosylation, ultraviolet absorbance, browning intensity, color, and sodium dodecyl sulfate-polyacrylamide gel electrophoresis. The significant conformational changes were illuminated because of the higher wavenumber shift of absorption peaks of FTIR amide I, II, and III bands, the reduction of fluorescent signal, and the decrease of surface hydrophobicity. Scanning electron microscopy revealed the morphological transition of WPI from a smooth sphere to an inhomogeneous block structure with rough and uneven surface before and after covalent grafting of dextran. The strong steric hindrance and abundant hydrophilic hydroxyl groups from covalently conjugated dextran dramatically inhibited the aggregation between conjugate molecules which exhibited low turbidity and good solubility in a wide pH range from 2.0 to 10.0. Emulsifying activity and emulsifying stability of WPI were significantly improved after glycosylation. This work will be beneficial to control the formation of light-colored Maillard reaction products under high substrate concentration, high reaction rate, and low water content at mild temperatures for short processing time, and to facilitate the large-scale preparation of glycosylated protein with desirable physicochemical properties.
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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) | 0.001 | 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 | 0.001 |
| 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".