Sourdough bread: A contemporary cereal fermented product
Bibliographic record
Abstract
Abstract Nutraceutical products have gained prominence nowadays owing to their plethora of suggested positive health attributes. Several types of foods have likewise been indicated to provide a wide variety of functional health properties. Especially, functional foods with probiotic properties, such as fermented milks containing lactic acid bacteria and yeast, have generated considerable regard, sourdough bread has received recent attention as wheat fermentation could improve essential mineral bioavailability and provide additional health and nutritional benefits including the provision of probioticmicrobes. Sourdough fermentation is also associated with anti‐fungal and anti‐bacterial properties that can improve bread shelf life and quality including the provision of attractive organoleptic characteristics. In addition, this review succinctly highlights the fermentation of wheat from Pakistani perspective, antinutritional factors, and their pros and cons, allergic compounds in wheat and their degradation by fermentation and various other methods to improve nutritional value and quality that have appeared in the recent research. Practical applications The field of sourdough microbiology and technology is currently limited by the number of comprehensive review articles with study on novel microorganisms known to degrade gluten, with much research focus on phytic acid and gliadin degradation. This review article will broaden the knowledge of food scientist who are working in the field of sourdough bread. This review article also discusses the microbiota responsible for nutraceutical bread production in baking industry. Sourdough technology is mushrooming in many areas of the world due to its myriad health and quality benefits.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".