Application of yellow mustard gum-fenugreek mixed gum in preparation of non-dairy fat whipping cream
Bibliographic record
Abstract
Abstract Yellow mustard gum (YMG) and fenugreek gum (FG) are both natural hydrocolloids derived from plant seeds. They showed synergistic effects of increased viscosity upon mixing thus expanding their applications. In this study, a synergistic YMG-FG (7:3) blend of different total gum concentrations (0%, 0.05%, 0.1%, 0.15%, 0.2% and 0.25%, w/w) was used to develop a whipping cream formula with dairy fat replaced by palm kernel oil. Whipping creams of both liquid emulsion and whipped cream were characterised in terms of particle size, rheological properties, whippability and foam stability, texture and microstructure. The liquid emulsion before whipping showed a shear-thinning behaviour regardless of the gum concentration. Upon whipping, the overrun of whipped cream decreased while the foam stability increased with increasing gum mixture content. The whipped cream with the addition of gum mixture retained the shape after storing overnight at 22 °C in comparison with two collapsed commercial samples. The whipped cream with 0.1% gum mixture exhibited optimal foam stability and textural properties among all the samples. Overall, the synergistic blend of YMG-FG can be used as a natural stabiliser in formulating non-dairy fat whipping cream products to improve foam stability and airy/fluffy texture.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".