Encapsulation of Kecombrang (Etlingera elatior) Flowers Extract Using the Ionic Gelation Method
Bibliographic record
Abstract
The extract flower of Etlingera elatior (kecombrang) is one of herb interested for research.This flower known to have a beneficial antioxidant activity.This antioxidant effect was obtained as a results of high flavonoid content.Photosensitivity and low bioavailability and their fast metabolism were the main limitations for its use, which can be overcome through encapsulation of the extract (flavonoids) into nanoparticle-based chitosan-tripolyphosphate by ionic gelation method.This is an observational study aims to encapsulate kecombrang flowers extract that is already form in nanoextract and assess the characterization.The nanoparticle extract of this flower obtained has a particle size of 312.7 nm with a zeta potential of -16.2 mV and a polydispersity index value of 0.502, amorphous (non-uniform) morphology, has a tendency to be spherical, and has an imperfectly spherical shape, has functional groups -OH, -NH, C=O, and a phosphate group.Overall Kecombrang flowers extract is able to be encapsulated in chitosantripolyphosphate.
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".