Physicochemical composition of buffaloberry (<i>Shepherdia argentea</i>), chokecherry (<i>Prunus virginiana</i>) and sea buckthorn (<i>Hippophae rhamnoides</i>) fruit harvested in Saskatchewan, Canada
Bibliographic record
Abstract
Green, R. C. and Low, N. H. 2013. Physicochemical composition of buffaloberry ( Shepherdia argentea ), chokecherry ( Prunus virginiana ) and sea buckthorn ( Hippophae rhamnoides ) fruit harvested in Saskatchewan, Canada. Can. J. Plant Sci. 93: 1143–1153. There is increasing interest in the commercialization of native fruits for utilization as foods and medicinal extracts. This study was undertaken to determine the physicochemical properties of buffaloberry (Shepherdia argentea), chokecherry (Prunus virginiana) and sea buckthorn (Hippophae rhamnoides) fruit grown in Saskatchewan. The physicochemical analyses of samples of each of these fruits included carbohydrate content, CIELAB color values, organic acid composition, pH, percent seed weight, phenolic compound content, soluble solids content, total titratable acidity (TTA) and proximate composition (ash, fibre, lipid, moisture and protein). Buffaloberry was found to contain high TTA and was especially high in ascorbic acid at 209±37 mg 100 g−1fruit, fresh weight basis. Chokecherry contained high levels of anthocyanin at 237±41 mg 100 g−1fruit, fresh weight basis. The results of this study suggest all of these native fruits possess compounds important to the human diet.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".