Comparison the Content of Total Flavonoids in Different Callus of Glycyrrhiza glabra L.
Bibliographic record
Abstract
Objective:To study the effects of hormone kinds,hormone levels and additives(hydrolysate lactoprotein) on content of total flavonoids in 6 callus of Glycyrrhiza glabra L.Method:Callus were obtained by micro-propagation.,the content of flavonoids was determined at wavelength of 510 nm with spectrophotometry by the standard of rutin.Result:The content of flavonoids in callus derived from internodes was the highest among the all treatments,it was as high as 2.316%±0.015% when incubated on MS+6-BA 4.0 mg/L+NAA 1.0 mg/L.The contents of flavonoids were significantly increased as hydrolysate lactoprotein was added in MS solid medium.When the internodes were inoculated on MS+6-BA 1.0 mg/L+NAA 1.0 mg/L+ hydrolysate lactoprotein 500 mg/L,the content of flavonoids was the largest as high as 2.376%±0.003%.Conclusion:Combination of 6-BA and NAA,as well as lactoprotein hydrolysate was beneficial to the production of licorice flavonoids.
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.
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 | 0.000 | 0.000 |
| 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) | 0.001 | 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".