HPLC-DAD analysis of flavonoids and hydroxycinnamic acids in Aster novi-belgii L.
Bibliographic record
Abstract
Aster novi-belgii is a perennial ornamental herb native to eastern Canada and the United States of America, cultivated in Ukraine. This species should be considered a possible source of phenolic compounds, principally hydroxycinnamic acids and flavonoids. Therefore, in this study, the aim was to determine these compounds in Aster novi-belgii by HPLC-DAD analysis, and validation of this chromatographic method and lay a scientific and technical basis for the utilization and development of the plant resources of the cultivated plants of the genus Aster . The HPLC-DAD method determined the flavonoids and hydroxycinnamic acids composition and content in the herb of Aster novi-belgii L. The HPLC-DAD method allowed the detection of 13 phenolic compounds, namely 6 hydroxycinnamic acids (chlorogenic, sinapic, caffeic, syringic, trans-cinnamic, trans-ferulic acids), and 7 flavonoids (kaempferol 3-O-beta-D-glucoside, naringin, quercetin, luteolin, rutin, kaempferol, rhamnetin). The quantitative detection showed that the main hydroxycinnamic acids were chlorogenic acids (15069.21 ± 0.34 µg/g) and sinapic acids (949.95 ±0.22 µg/g). Concerning flavonoids, the largest amounts were kaempferol 3-O-beta-D-glucoside (8989.79 ±0.31 µg/g) and naringin (2092.02 ± 0.26 µg/g). HPLC-DAD method was evaluated in terms of linearity, precision, accuracy, limits of quantification, and limits of detection. The calibration curves of reference substances were linear (R 2 ≥ 0.997), the LODs were in the range of 0.21–1.71 µg/mL, and the LOQs – of 0.48–5.19 µg/mL, respectively. Our phytochemical research confirms that the study material is a rich source of hydroxycinnamic acids and flavonoids. Findings mean that Aster novi-belgii is a promising plant because of the important role of these phenolic compounds in many biological processes.
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How this classification was reachedexpand
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 | 0.000 | 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 teacher head, 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".