Retrogradation in some tropical root starches and its influence on vital gluten/starch composite bread quality.
Bibliographic record
Abstract
A Differential Scanning Calorimeter (DSC) was used to study starch retrogradation in 60 percent moisture gels of native root starches of cassava, sweet potato, arrowroot and taro, as well as soft white spring (SWS) and hard Canadian western red spring (CWRS) wheat starches at 24 degrees C, and related to retrogradation as determined by a compressimeter in composite bread crumbs containing 15 percent vital gluten and 85 percent starch. Bread quality was further examined through loaf volume, mass and panel organoleptic assessment of crumb grain, texture and chewability. Root starches retrograded more rapidly and strongly than most wheat starches. The higher the amylose content and solubility, the more prone to retrogradation the root starches were found to be. All starch pastes developed weak retrogradation endotherms between 50 and 60 degrees C. A second set of stronger retrogradation endotherms were developed by cassava, sweet potato and arrowroot starches between 75 and 100 degrees C after the 6th day of storage. DSC endotherms and crumb compressibility proved that cassava starch retrograded most rapidly and intensively, followed by sweet potato, arrowroot, taro and finally the wheat starches. The extent of retrogradation in starch had a corresponding negative influence on the quality of the vital gluten/starch composite bread in comparison to pure wheat flour bread. (AS).
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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 | 0.000 |
| 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 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".