Unlocking the value of Canadian oats: evaluating oat starch by-product through starch noodle production
Bibliographic record
Abstract
The growing plant protein industry necessitates innovative approaches to valorize starch by-products. Oats are garnering attention for protein extraction, which raises concerns about the sustainability of the industry as the majority of the oat kernel's starch remains underutilized. While oat starch demonstrates desirable properties for various applications, genetic and environmental variations pose challenges to its consistent utilization. Chemically modifying starch offers a potential solution to tailor its properties for specific end uses. The objective of the first study was to screen thirty oat cultivars and identify suitable genotypes for starch extraction. The objective of the second study was to analyze native oat starch and produce modified oat starch using citric acid cross-linking, elucidating physiochemical, pasting, and morphological differences. The objective of the last study was to optimize a method for oat starch noodle preparation and compare the quality characteristics of noodles made with native oat starch (NOS) to those substituted with varying levels of citrate-modified oat starch (COS). Subsequently, the digestibility implications of COS addition would be studied. The first study revealed significant effects of genotype, environment, and their interaction on protein, total starch, and amylose content. Cultivar CDC Morrison was selected for further analysis based on these findings. Study two identified significant differences in NOS and COS, particularly in resistant starch content and pasting properties. Notably, COS exhibited an inability to form a paste, while NOS displayed higher pasting temperature and final viscosity. Chemical modification altered crystalline peaks and morphology, providing insights into their potential application in noodle production. Study three optimized a method for oat starch noodle production and observed that the addition of COS altered cooking time, texture, and colour compared to NOS noodles. NOS noodles exhibited similarities to commercial rice noodles. In vitro digestibility results revealed that substituting 25% of NOS with COS reduced glucose release, indicating beneficial in slowing starch digestibility. The studies collectively offer valuable insights into the valorization of oat starch by-products in the plant protein industry. The successful production of oat starch noodles, including those with modified starch, underscores the potential of oat starch by-products for human consumption.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".