Quality of resistant starch‐enriched breadcrumbs extrudates
Bibliographic record
Abstract
Abstract Background and Objectives Although bread waste is often processed into breadcrumbs for use in breading formulations, an alternative method to add value to this by‐product is to incorporate it into snack food applications. This study examined the extrusion of breadcrumbs under varying conditions of feed moisture content (13%, 15%, or 17%) and die temperature (120°C or 150°C). To enhance the total dietary fiber (TDF) content of the extrudates, the base breadcrumbs formula was supplemented with resistant starch types 2 and 4 (RS2 and RS4) at different concentrations (15% and 30%). The physical and techno‐functional properties of the resulting breadcrumb extrudates (BCEs) were then investigated. Findings The TDF content of BCEs generally increased with higher feed moisture contents, but it was not affected by different die temperatures. The highest radial expansion index (6.33) among the RS‐supplemented BCEs was achieved with RS2‐supplemented BCEs extruded at a die temperature of 120°C and a feed moisture content of 13%. RS4 supplementation also produced BCEs with similar properties under certain extrusion conditions. Conclusions There was no significant difference in TDF content between RS2 and RS4‐supplemented BCEs at the lowest feed moisture content studied. Overall, RS2 supplementation had a less negative impact on the extrudate expansion index, density, and crispness values compared to RS4 supplementation, indicating the better suitability of RS2 for snack food applications. All BCEs produced had TDF contents higher than 6%, allowing them to carry a “high fiber content” claim according to relevant European Union regulations. Significance and Novelty The effects of different types of resistant starch on the physical and techno‐functional properties of extruded snacks have not been studied to date. This study addresses this research gap and adds value to a major by‐product of the bakery industry, breadcrumbs, by incorporating them into snack food applications.
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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 | 0.000 |
| 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) | 0.001 | 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".