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Record W2024929145 · doi:10.1002/pca.950

Quantification of spiroether isomers and herniarin of different parts of <i>Matricaria matricarioides</i> and flowers of <i>Chamaemelum nobile</i>

2006· article· en· W2024929145 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePhytochemical Analysis · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPineapple and bromelain studies
Canadian institutionsMemorial University of Newfoundland
FundersMemorial University of Newfoundland
KeywordsChemistryMatricaria chamomillaWeedCoumarinHigh-performance liquid chromatographyChromatographyBotanyOrganic chemistry

Abstract

fetched live from OpenAlex

A simple HPLC-PAD-MS method was established to quantitatively analyse two spiroether isomers (cis-en-yn-dicycloether and trans-en-yn-dicycloether) and the main coumarin, herniarin, in chamomile herbs, simultaneously. By using this method, the contents of these three compounds in the flowers of two chamomile species, Roman chamomile (Chamaemelum nobile) and pineapple weed (Matricaria matricarioides), as well as in different parts of pineapple weed, were investigated. It was found that the flowers of both herbs contained large amounts of cis-en-yn-dicycloether and trans-en-yn-dicycloether, with the trans-form being more abundant than the cis-form. The leaves of pineapple weed were found to have the highest concentration of cis-en-yn-dicycloether and herniarin than the other parts. HPLC-PAD-MS-guided isolation and identification of other constituents are also discussed.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.429

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.005
GPT teacher head0.219
Teacher spread0.214 · 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