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Headspace Volatiles and Physical Characteristics of Vacuum‐microwave, Air, and Freeze‐dried Oregano ( <i>Lippia berlandieri</i> Schauer)

2000· article· en· W2000872842 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Food Science · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Drying and Modeling
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsLippiaThymolChemistryFlavorVacuum dryingFreeze-dryingMicrowaveFood scienceHerbBotanyMedicinal herbsChromatographyBiologyEssential oilTraditional medicine

Abstract

fetched live from OpenAlex

ABSTRACT: Mexican oregano ( Lippia berlandieri Schauer) was dried using a freeze drier, conventional hot air drier, and a recently developed vacuum‐microwave drier. The effect of the drying method on the relative content of major flavor volatiles, rehydration rate, color, and structural integrity of the herb was evaluated. Dynamic headspace analysis of volatiles present in fresh or dried oregano revealed that β‐myrcene, α‐terpinene, γ‐terpinene, p‐cymene, and thymol were the major volatile compounds of the plant. The level of thymol in vacuum‐microwave‐dried oregano was found to be comparable to that of fresh or freeze‐dried samples (1.3 times the thymol concentration of air‐dried). Air‐dried samples of oregano were darker, were less green, and exhibited lower rehydration rates than those prepared by vacuum‐microwave or freeze‐drying. Structures of vacuum‐microwave and freeze‐dried oregano appeared to be quite similar as observed on electron micrographs.

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.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score0.195

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.012
GPT teacher head0.213
Teacher spread0.201 · 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