Nutritional, phytochemical, and bioactive prospects of black chokeberry (Aronia melanocarpa) and saskatoon berry (Amelanchier ovalis) grown in the Republic of Kazakhstan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
• Chocoberry and saskatoon berry from Kazakhstan were characterized. • They were rich in sugars and organic acids. • 20 phenolics were determined in A. melanocarpa , 25 in A. ovalis . • Hydroethanolic extracts showed antioxidant and antibacterial properties. • The data highlighted the value of these Kazakhstan-originating berries. Berries are consumed worldwide, but recently, they have attracted more attention due to their valuable phytochemical profiles and diverse applications. This study comprehensively characterized the saskatoon berry ( Amelanchier ovalis ) and black chokeberry ( Aronia melanocarpa ) from Kazakhstan, documenting their nutritional, chemical, and bioactive profiles. Nutritional analysis showed proteins at 2.52±0.2 g/100 g DW in A. melanocarpa and 4.22±0.1 g/100 g DW in A. ovalis . Sixteen phenolic compounds were identified in A. melanocarpa and twenty-one in A. ovalis , with chlorogenic acid, quercetin, and cyanidin derivatives predomination. Sugars, organic acids, and tocopherols were also abundant. Both berries exhibited potent antioxidant activity (EC 50 : 0.35±0.02 mg/mL for A. ovalis , 3.9 ± 0.1 mg/mL for A. melanocarpa through TBARS assay) and antimicrobial properties against foodborne strains. These findings highlight these species' phytochemical and nutrient richness, emphasizing the value of Kazakhstan-originating berries.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it