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 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 | 0.000 | 0.001 |
| 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 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".