Fat replacers in baked products: their impact on rheological properties and final product quality
Bibliographic record
Abstract
Many baked products, except for bread, (i.e., cakes, cookies, laminated pastries, and so on) generally contain high levels of fat in their formulas and they require different bakery fats that impart product-specific quality characteristics through their functionalities. Even though, fat is crucial for baked product quality, strategies have been developed to replace fat in their formulas as high fat intake is associated with chronic diseases such as obesity, diabetes, and cardiovascular heart diseases. Besides, the solid bakery fats contain trans- and saturated fats, and their consumption has been shown to increase total and low-density lipoprotein cholesterol levels and to constitute a risk factor for cardiovascular diseases when consumed at elevated levels. Therefore, the aim of this review was to provide a detailed summary of the functionality of lipids/fats (endogenous lipids, surfactants, shortening) in different baked products, the rheological behavior of bakery fats and their contribution to baked product quality, the impact of different types of fat replacers (carbohydrate-, protein-, lipid-based) on dough/batter rheology, and on the quality characteristics of the resulting reduced-fat baked products.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".