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Record W2139149722 · doi:10.5539/jfr.v4n3p36

Physicochemical and Antioxidant Properties of Cymbopogon citratus Essential Oil

2015· article· en· W2139149722 on OpenAlexvenueno aff
María del Carmen Vázquez-Briones, Luis R. Hernández, José Ángel Guerrero-Beltrán

Bibliographic record

VenueJournal of Food Research · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEssential Oils and Antimicrobial Activity
Canadian institutionsnot available
Fundersnot available
KeywordsCymbopogon citratusCitralChemistryEssential oilGallic acidSteam distillationChromatographyFood scienceNuclear chemistryAntioxidantOrganic chemistry

Abstract

fetched live from OpenAlex

In this study, the essential oil (EO) of lemongrass (Cymbopogon citratus) or “lemon tea” leaves was studied. The EO was obtained by the steaming (0.75 ± 0.05%) and distillation (1.5 ± 0.07%), assisted by microwaves, methods. The EO had a refractive index of 1.483 ± 0.001 (20 °C) and a density of 0.873 ± 0.005 g/mL (27 °C). Color parameters of the oil corroborate the yellow hue observed by the naked eye. The Gas chromatography-Mass spectrometry (GC-MS), Fourier Transform Infrared (FT-IR) Spectrometry, and Nuclear Magnetic Resonance (NMR) techniques permitted to characterize the EO and revealed the chemical structure of the major component: citral (neral and geranial). The phenolic compounds content was 149.2 ± 6.0 mg Gallic acid equivalents (GAE) per 100 mL of oil and the antioxidant activity was 44.06 ± 0.20 mg Trolox (T) per 100 mL of essential oil.

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 score0.002

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 head0.103
GPT teacher head0.301
Teacher spread0.198 · 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

Citations47
Published2015
Admission routes1
Has abstractyes

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