Bioactive Compounds of Indigenous Canadian Small Fruits: UHPLC-HRMS-Based Phytochemical Characterization, Mineral Composition and Their Antioxidant Activity
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
High Resolution Image Download MS PowerPoint Slide Canadian prairie small fruits have attracted great interest for their potential health benefits, including cardiovascular and anticancer effects. This study examined 14 species of prairie small fruits using a targeted ultra high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS) metabolomics approach to quantify 66 phenolic compounds alongside moisture, fat, mineral content, total flavonoid and phenolic content (TPC). Antioxidant capacity was assessed using ferric reducing antioxidant power (FRAP) and radical scavenging assays. Anthocyanins dominated most berries, exceeding 80% of total phenolics in chokeberries and blueberries. Redcurrants and gooseberries contained higher proportions of isoflavones and flavonols, while chokecherries showed notable contributions from procyanidins and hydroxycinnamic acids. Saskatoon berries had the highest TPC (2100 mg/kg) with a balanced flavonoid profile. Principal component analysis revealed Saskatoon berries clustering distinctly from other species, reflecting their unique metabolomic signature. Nannyberries had the strongest FRAP activity, whereas gooseberries and highbush cranberries had the lowest. These findings highlight the phytochemical diversity of prairie berries and their potential for functional food and nutraceutical applications.
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.
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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| 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 it