Optimization Processing Parameters for Curcuma xanthorriza Oleoresin Yield and its Antioxidant Activity
Bibliographic record
Abstract
Processing is a critical aspect of herbal based products, and processing method is known to affect the content, activity and bioavailability of bioactive compounds.Extraction of oleoresin from Curcuma xanthorriza is effected by several processing parameters.Appropriate solvent selection such as polar solvent result in better extraction yield while lower polarity solvent end up with extracts having higher concentration of active compounds.In this study, different processing parameters were carried out including blanching treatment (boiled, steamed) at range of time (24 hours, 48 hours and 72 hours), solvent of extraction (methanol, ethanol and acetone).The curcuminoid content and antioxidant activity were determined in Curcuma xanthorriza oleoresin.The result obtained was proved that ethanol was the most effective solvent.Blanching treatment affects the yield of oleoresin and promotes the release of curcuminoids content.
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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) | 0.000 | 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".