Effects of Glycerol and Tween 60 on the Crystallization Behavior, Mechanical Properties, and Microstructure of a Plastic Fat
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The addition of 0.10% glycerol or Tween 60 increased the yield force of a 70:30 (w/w) mixture of triolein/HMF (high-melting fraction of milkfat) at 5 °C. Further increases in glycerol or Tween 60 caused a decrease in yield force. Solid fat content (SFC) versus time profiles at 30 °C (glycerol) and 28 °C (Tween 60) allowed for the determination of Avrami rate constants of crystallization ( k ) and Avrami exponents ( n ). Higher Avrami constants and lower Avrami indices (higher rate of crystal growth), smaller crystallites, and a shorter induction time of nucleation were observed in samples containing 0.10% Tween 60 relative to the control and 0.50% Tween 60. A 0.10% glycerol addition, on the other hand, yielded opposite results. The increase in hardness induced by small additions of Tween 60 could be attributed to decreases in crystallite size at constant SFC and fractal dimension. The increase in hardness induced by small additions of glycerol could only be attributed to increases in the crystal-melt interfacial tension, at constant SFC and fractal dimension, despite increases in crystallite size.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.000 | 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 it