Continuous Selective Extraction of Secondary Metabolites from <i>Catharanthus roseus</i> Hairy Roots with Silicon Oil in a Two‐Liquid‐Phase Bioreactor
Bibliographic record
Abstract
A two-liquid-phase bioreactor was designed to extract indole alkaloids from Catharanthus roseus hairy roots with silicon oil. Partition studies between silicon oil and culture medium showed that the silicon oil did not alter the availability of nutrients. The affinity of tabersonine and löchnericine for silicon oil is nine times higher than for the aqueous phase. Cultures were elicited with 25 mg/L of jasmonic acid. The growth of the hairy roots was not significantly modified by the presence of silicon oil. The overall specific yields of tabersonine and löchnericine were increased by 100-400% and 14-200%, respectively, with the use of silicon oil in nonelicited control cultures. In elicited cultures, these values were 10-55% for tabersonine and 20-65% for löchnericine. Serpentine was never found in the silicon oil. All measured alkaloids' specific yields were higher using silicon oil and elicitation, suggesting that the silicon oil, while acting as a metabolic sink for tabersonine and löchnericine, was efficient in increasing metabolic fluxes of the secondary metabolism pathways.
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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) | 0.000 | 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".