Effect of L‐cysteine on the rheology and baking quality of doughs formulated with flour from five contrasting Canada spring wheat cultivars
Bibliographic record
Abstract
Abstract Background and Objectives Wheat grain quality parameters are influenced by the composition of gluten proteins. To overcome wheat grain quality limitations, dough improvers such as reducing agents can be added to reduce mixing time and improve dough extensibility. The overall objective of this research was to examine the effect of L‐cysteine (L‐cys) concentration on the rheology and baking quality of doughs prepared using five western Canadian spring wheat cultivars. Findings The addition of L‐cys resulted in a significant ( p < .05) decrease in dough strength and handling properties, where stronger gluten strength wheats were less affected by addition and had improved dough handling properties, loaf volume, and softer crumb structure. Conclusions The addition of L‐cys to wheat flours reduced mixing time up to 47%, increased loaf volume (up to 9%), and elasticity of the products, those characteristics are desired to increase the efficiency of the automated processes for bread products. Significance and novelty The optimization of time versus quality of bread is crucial for the industry. Therefore, reducing agents can be used in stronger wheat cultivars as means to improve efficiency of production (i.e., lower mixing time) and result in equal or higher quality bread loaf (i.e., loaf volume).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".