Seasonal variations in phenolic compounds and antioxidant capacity of Cornus stolonifera plant material: Applications in agriculture
Bibliographic record
Abstract
Isaak, C. K., Petkau, J. C., O, K., Ominski, K., Rodriguez-Lecompte, J. C, and Siow, Y. L. 2013. Seasonal variations in phenolic compounds and antioxidant capacity of Cornus stolonifera plant material: Applications in agriculture. Can. J. Plant Sci. 93: 725-734. The present study was carried out to establish the antioxidant capacity of plant material of Cornus stolonifera (syn. Cornus sericea, Red Osier Dogwood) grown in Manitoba, by measuring total phenolic content and oxygen radical absorbance capacity (ORAC) over a 3-yr period. The presence and concentrations of flavonoids that might account for antioxidant abilities were investigated using ultra-performance liquid chromatography and a total anthocyanins assay. Both ORAC levels and phenolic content increased during the spring, peaked during the summer months (1631.65±166.30 µmol trolox equivalents g-1 DW in July 2011, 220.38±2.29 mg gallic acid equivalents g-1 DW in August 2012), and then declined during the fall in all 3 yr. Analysis of individual flavonoids in 2010 samples revealed that high levels of rutin, a glycoside of quercetin, were present ranging from 7.46±0.09 (July 2010) to 18.77±0.23 mg g-1 dried sample (October 2010). Anthocyanin content was high in the spring, very low in the summer months, and increased in the fall over all 3 yr. Although polyphenolic and antioxidant content in Cornus spp. plants have been largely attributed to their berries, results from this study demonstrate that other plant material may also be an abundant source of these compounds.
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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 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 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".