Crystallization Enhancement by a High Behenic Acid Stabilizer in a Palm Oil‐Based Model Fat Blend and its Corresponding Fat‐Reduced Water‐in‐Oil Emulsion
Bibliographic record
Abstract
Abstract A high behenic stabilizer (HBS) at concentrations of 0.3%, 0.6%, and 0.9% w/w was added to the oil phase of a fat‐reduced water‐in‐oil (W/O) emulsion intended for margarine manufacture. The crystallization kinetics, thermal behavior, and microstructure of an oil phase and its 35/65 w/w fat‐reduced W/O emulsion were studied. The oil phase was composed of a palm oil‐based model fat blend, three emulsifiers, and the HBS. Differential scanning calorimetry results showed that, when 0.9% of stabilizer was added, the crystallization started 2.5 °C higher than when no HBS was added, hence reducing the time needed for crystallization. Polarized light microscopy results showed that the cocrystallization of the high‐melting triacylglycerols of the oil phase with the HBS significantly decreased the fat crystal size and increased the number of crystals. The solid fat content also was increased by 2.4%. Interfacial tension experiments corroborated that HBS was located in the oil phase and not at the emulsion interface. This work shows that margarine can be successfully manufactured by adding 0.9% HBS to a 35/65 w/w fat‐reduced W/O emulsion without losing functionality, as shown by the presence of the β′ polymorph. This work also suggests that 15% fat could be removed from the system without changing functionality by merely adding up to 0.9% of HBS.
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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 | 0.001 |
| 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".