Effect of the Antimicrobial Agents Addition on the Stability of Part-Baked Bread during Refrigerated Storage and on the Sensory Quality of Full-Baked Bread
Bibliographic record
Abstract
Part-baked bread (PBB) is a product which offers advantages to producers and consumers. The lower cost of refrigeration in comparison with freezing makes it an interesting option to preserve the PBB. The main problem of PBB stored in refrigeration is the mold occurrence on its surface. The addition of an antimicrobial agent in the formulation of PBB capable to delay the proliferation of mold would help to extend its useful life. The aim of this study was to determine the effect of potassium sorbate in comparison with calcium propionate on the number of microorganisms of PBB stored in refrigeration, as well as on the sensory quality of full-baked bread obtained from PBB. From the tests performed it was observed that there were no molds on the surface of PBB with antimicrobial agents during 28 days of storage at 5ºC, while molds were on control PBB at 15 days of storage. It was also found that calcium propionate (0.16% flour basis) was more effective than potassium sorbate (0.16% flour basis) on delaying microorganisms growing. Addition of antimicrobial agents did not affect significantly the sensory attributes of bread obtained from PBB. However, the addition of propionate caused a decrease on the specific volume of bread.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".