Saskatoon berry (Amelanchier alnifolia): nutritional composition, phytochemical, health benefits, shelf-life extension and utilization
Bibliographic record
Abstract
Saskatoon berry (STB) contains various nutrients and phytochemicals. In recent years, considerable research has been conducted on the chemical composition and biological functions of the STB. STB encompass a diverse range of species with varying nutritional and functional profiles, which necessitates a systematic review to summarize and synthesize existing knowledge. In this review, we summarize the current developments in STB as a potential source of bioactive compounds. Special emphasis on health benefits, storage techniques, and applications. STB is a rich source of nutrients (carbohydrates, proteins, fats, and minerals) and phytochemicals (including polyphenols, polysaccharides, volatile, etc.) that are biologically active and beneficial to human health. These bioactive constituents have many health advantages, including antioxidant, anti-inflammatory, metabolic syndrome modulating, antimicrobial, and anticancer capabilities. In addition, practical applications of storage technology in STB are discussed. Recommendations for maximizing the potential of STB in promoting their development as functional food materials/ingredients are also offered.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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 | 0.000 |
| 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".