Textural and Sensory Attributes of Steamed Bread Fortified with High‐Amylose Maize Starch
Bibliographic record
Abstract
Abstract Chinese steamed bread (CSB) is a staple food item produced through steaming fermented dough. High‐amylose maize starch (HAMS) is a natural source of resistant starch and dietary fiber. The feasibility of using HAMS with 80% amylose content to formulate northern style CSB was reported. Adding HAMS (up to 10%) had minimal influences on the color and texture of CSB. Specific volume and spread ratio of CSB were reduced by 10 − 20% and 10 − 13%, respectively. Increasing HAMS concentration from 2 to 10% decreased the staling rate of CSB by 8 − 48%. CSB with and without HAMS had a 3‐day mould‐free shelf‐life. Sensory evaluation showed that the overall acceptability of CSB containing HAMS (up to 6%) were comparable with control. Organoleptic, textural, and shelf life properties of CSB with 2% HAMS substitution were similar to the control. Practical Applications Adding HAMS could improve the shelf life of CSB without negatively affecting the sensory acceptability. The results of this study suggest the possibility of expanding the HAMS application and CSB in functional food market. The findings provide some insights for industrial research and development using resistant starch for healthy steamed cereal 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 | 0.000 | 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".