Combination of epigallocatechin gallate with l-cysteine in inhibiting Maillard browning of concentrated orange juice during storage
Bibliographic record
Abstract
Orange juice is popular with consumers because of its unique taste, flavor as well as nutritional value which accounts for a large proportion of the global juice market. Concentrated orange juice (COJ), undergoes browning during storage seriously affecting its quality and commercial. This study was the first to evaluate the effects of epigallocatechin gallate (EGCG) and l-cysteine (L-cys) on Maillard browning of COJ during storage. The results show that EGCG and L-cys reduce significantly the production of 5-hydroxymethylfurfural (5-HMF), the characteristic product of Maillard reaction (MR), and the combined use of EGCG and L-cys was even more effective. Furthermore, the color of the treated COJ displayed negligible change after storage, with higher L* and b* values and marginally lower a* values. The flavor, taste, main volatile substances as well as rheological properties of the treated COJ were also determined; none of these properties were affected adversely during storage. This treatment method ensures that the key sensory quality and material properties of COJ are preserved by the proposed treatment while inhibiting Maillard browning during storage.
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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".