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Record W4392291403 · doi:10.18280/ijdne.190137

Encapsulation of Kecombrang (Etlingera elatior) Flowers Extract Using the Ionic Gelation Method

2024· article· en· W4392291403 on OpenAlexvenueno aff
Sri Wahjuni, Ni Wayan Bogoriani, Ni Made Puspawati, Ida Bagus Putra Manuaba, Ahmad Fudholi

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNatural Compound Pharmacology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIonic bondingEncapsulation (networking)NanotechnologyBotanyMaterials scienceChemistryComputer scienceBiologyOrganic chemistryComputer securityIon

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.876
Threshold uncertainty score0.221

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.326
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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