Factors Influencing Crystallization of Erythritol in Aqueous Solutions: A Preliminary Study
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Bibliographic record
Abstract
<p>Erythritol – a new zero caloric sweetener – shows high potential for developing new sugar reduced or sugar free food formulations. Since the crystallization behavior of erythritol was not investigated so far, this study focused on factors influencing erythritol crystallization in aqueous solutions using a simple gravimetric method. The general features of the course of crystallization are a linear increase until a period of 2.5 h of storage followed by a decelerating phase and a phase which represents equilibrium. Additionally, different influencing factors (supersaturation level, storage temperature, storage period and cooling rate) on the crystallization process of erythritol were investigated. It was shown that crystallization value increased with increasing supersaturation level and the progress of crystallization was almost linear from the initial induction period until equilibrium. Therefore, a first-order kinetic for erythritol crystallization was proposed, because only supersaturation level correlated to the erythritol concentration in the solution influenced the course of crystallization. Calculated crystallization rate constants increased considerably with increasing supersaturation levels. Furthermore, at the same supersaturation levels crystallization of erythritol was independent from the storage temperature. Cooling rate influenced only crystal shapes and sizes, but not the crystallization values.</p>
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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 | 0.002 | 0.001 |
| 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 it