Impact of drying methods on banana flour in the gluten-free bread quality
Bibliographic record
Abstract
Green banana flour (GBF) is considered a functional ingredient that could improve banana world's production sustainability. The banana drying method might influence the physicochemical and nutritional properties of GBF, affecting its performance in bread-making. The study aims to determine the impact of freeze-drying and oven-drying on gluten-free banana bread's quality. Freeze-dried banana flour (FDBF) bread had higher specific volume, resilience, and less brown coloration than oven-dried banana flour (ODBF) bread. Also, FDBF bread presented higher resistant starch (RS). The slowly digested starch (SDS) was similar in both types of bread. In contrast, rapidly digested starch (RDS) was significantly higher in FDBF bread, which led to higher expected glycemic index. Even though the nutritional fractions (RS and SDS) of both gluten-free banana bread exceeded 20 g/100 g bread (db), with no significant difference concerning the drying type, the FDBF bread presented improved characteristic.
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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 | 0.001 | 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 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".