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Optimization Processing Parameters for Curcuma xanthorriza Oleoresin Yield and its Antioxidant Activity

2015· article· en· W198146143 on OpenAlexvenueno aff
Zarani Mat Taher, Mohamad Roji Sarmidi

Bibliographic record

VenueInternational Journal of Biotechnology for Wellness Industries · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCurcumin's Biomedical Applications
Canadian institutionsnot available
FundersMinisterio de Ciencia, Tecnología y Medio Ambiente
KeywordsOleoresinCurcumaYield (engineering)Traditional medicineAntioxidantBiotechnologyFood scienceBiologyMedicineMaterials scienceBiochemistryComposite material

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.307
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations3
Published2015
Admission routes1
Has abstractyes

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Same venueInternational Journal of Biotechnology for Wellness IndustriesSame topicCurcumin's Biomedical ApplicationsFrench-language works237,207