Chitosan Elicitation for Enhancing of Vincristine and Vinblastine Accumulation in Cell Culture of Catharanthus roseus (L.) G. Don
Bibliographic record
Abstract
Catharanthus roseus (L.) G. Don is an important herbal plant. There are two important alkaloids, vinblastine and vincristine, use in anti-cancer drugs. In this study production of the two alkaloids was enhanced in C. roseus cell cultures, in a Murashige and Skoog (MS) liquid medium supplemented with 1.5 mg/L 2,4-D, 0.5 mg/L kinetin and 30 g/L sucrose, by adding 0, 50, 100, 250 or 500 mg/L medium molecular weight chitosan or chitosan derived from shrimp shell. After 14 days of culture, the cell suspension at stationary phase in the 100 mg/L medium molecular weight chitosan could produce the highest amounts of vinblastine and vincristine at 4.15 and 5.48 µg/mg cell dry weight, respectively. At the same time, the controls (0 mg/L chitosan) produced the two alkaloids at only 2.43 and 2.49 µg/mg cell dry weight, respectively. For chitosan from shrimp shell, it was found that 100 mg/L chitosan could lead to the highest quantity of 4.09 µg vinblastine/mg cell dry weight. The highest amount of 5.47 µg vincristine/mg cell dry weight was obtained when 250 mg/L chitosan was added.
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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) | 0.001 | 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".