Research on the Extraction of Flavonoids from Hangbaiju (<i>Chrysanthemum morifolium</i>) and the Development of Functional Foods
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
Hangbaiju is rich in various flavonoid components, and naturally possesses excellent antioxidant and anti-inflammatory activities.So, it is regarded as a high-quality resource for the development of functional foods.Its potential is not only confined to traditional drinking, but also reveals new possibilities in modern health products.This study focused on the flavonoids in Hangbaiju, sorted out its main chemical composition and functional characteristics, and compared the differences in efficiency and component retention among different techniques by combining traditional and modern extraction methods.The results show that, green extraction methods such as ultrasonic-assisted and enzymatic hydrolysis, not only increase the yield but also are more beneficial to the stability of the active substances.It further explored the application paths of Hangbaiju flavonoids in various food forms, like tea beverages, capsules, and nutritional supplements, and evaluated their functional effects and safety in both in vivo and in vitro.This study provides fundamental support for the high-value development of Hangbaiju resources, and also offers a reference for the extended application of functional products.
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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 | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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