Refrigerated Storage of Yellow Alkaline Durum Noodles: Impact on Color and Texture
Bibliographic record
Abstract
ABSTRACT Durum wheat straight‐grade flour samples, representing the cultivars Commander and Strongfield, a composite cargo mixture of Canada Western Amber Durum cultivars and a Japanese commercial durum flour were used to make yellow alkaline noodles. A Canada Western Red Spring common wheat composite straight‐grade flour was included in the study for comparative purposes. Alkaline noodles were prepared using 1% w/w kansui reagent (sodium and potassium carbonates, 9:1) and stored for 1, 2, 3 and 7 days at 4°C to duplicate a normal convenience store operation. The raw noodle color of the durum alkaline noodles exhibited significantly better noodle brightness, L *, and yellowness, b *, as compared to noodles prepared from common wheat at all storage periods. The number of discolored specks in the durum flour based noodles was significantly lower as well as significantly lighter than those of common wheat at all time intervals. Noodles prepared from Commander, Strongfield, or the cargo composite flours displayed significantly lower water uptake during cooking than both the commercial durum flour and the common wheat noodles. The commercial durum flour noodles displayed the thinnest cooked noodles, while the common wheat flour noodles were the thickest. Evaluation of cooked noodle texture, immediately after production and subsequent storage of the raw noodles at 4°C for 1, 2 and 3 days before cooking showed a general increase in maximum cutting stress (MCS) with storage. Noodles prepared from Commander flour consistently display MCS values exceeding those of CWRS as well as the highest resistance to compression (RTC) and recovery (REC) measurements. The visual improvements in noodle brightness, enhanced yellowness, reduced speck numbers and darkness in combination with equivalent to improved cooked noodle texture attributes compared with common wheat flour suggests that durum flours are an ideal material for fresh, refrigerated yellow alkaline noodles.
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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".