Microscale Surface Roughening of Chocolate Viewed with Optical Profilometry
Bibliographic record
Abstract
Abstract Microtopographical roughening and fat phase melting of milk chocolate subjected to three temperature cycles between 20 and 28, 30, 32, or 34 °C were examined using optical profilometry and differential scanning calorimetry (DSC). Cycling to any of these temperatures did not lead to immediate visual bloom, though significant effects on microstructure and fat phase melting behavior were noted. The initial chocolate topography was lightly mottled and consisted of small asperities. DSC indicated the presence of form V crystals in control chocolates kept isothermally, with form VI crystals appearing with cycling to 30 and 32 °C. The fat phase of the chocolates cycled to 34 °C existed only in the form IV polymorph. As a result of cycling, the surface roughness of all samples increased, with the smallest rise seen with cycling to 28 °C. Decomposition of the roughness into low and high‐frequency components revealed a significant contribution of waviness (the low‐frequency component) to overall roughness, particularly with cycling to 34 °C. Furthermore, with the fat phase fully molten, the backbone structure consisting of the dispersed particulates also contributed to overall roughness. This study demonstrated that significant microstructural changes and deformation take place within chocolate as a result of temperature fluctuations prior to the onset of visible surface fat bloom.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".