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Record W2547937946

Chemical composition and stability of the hydrosol obtained during the production of essential oils. III. The case of Myrica gale L., Comptonia peregrina (L.) Coulter and Ledum groenlandicum Retzius.

2016· article· en· W2547937946 on OpenAlexaboutno aff
Guy J. Collin, Hélène Gagnon

Bibliographic record

VenueAmerican Journal of Essential Oils and Natural Products · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEssential Oils and Antimicrobial Activity
Canadian institutionsnot available
Fundersnot available
KeywordsHYDROSOLMonoterpeneComposition (language)ChemistryMyrica rubraChemical compositionIsomerizationBotanyOrganic chemistryBiologyCatalysis
DOInot available

Abstract

fetched live from OpenAlex

The chemical composition of the oils and hydrosols of Myrica gale, Comptonia peregrina, and Ledum groenlandicum collected from wild plantations in the Grondines region of the province of Quebec, Canada, were determined by GC/FID and GC/MS analyses. The composition of the oil of M. gale shows great variations from one country to another, both qualitatively and quantitatively. Same variations seem to occur also in the C. peregrina oil. The components obtained from the hydrosols were mainly monoterpene alcohols, aldehydes and ketones and as such the compositions of the hydrosols are very different of the corresponding oils: the oil with the most important percentage of hydrocarbon compounds, the compositions of the two phases are different. It appears that in some cases the composition of hydrosols at room temperature may change over a two year period of storage. The L. groenlandicum hydrosol is relatively stable except that the main compound, p-mentha-1(7), 8-dien-1-ol undergoes a trans- to cis- isomerization process meanwhile both cis- and trans-p-mentha-2, 8-dien-1-ol disappear during the shelf-life study. Possible hydration processes may occur in the hydrosol during the shelf-life.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.695

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 studies0.0000.002
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 head0.005
GPT teacher head0.200
Teacher spread0.196 · 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 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

Citations7
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Essential Oils and Natural ProductsSame topicEssential Oils and Antimicrobial ActivityFrench-language works237,207