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Record W1965010251 · doi:10.1002/jms.277

Liquid chromatographic/mass spectrometric determination of biologically active alkaloids in extracts of <i>Peschiera fuschiaefolia</i>

2002· article· en· W1965010251 on OpenAlexaff
François Lépine, Sylvain Milot, Lolita O. Zamir, R. Morel

Bibliographic record

VenueJournal of Mass Spectrometry · 2002
Typearticle
Languageen
FieldChemistry
TopicAnalytical Chemistry and Chromatography
Canadian institutionsJewish General HospitalInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsChemistryChromatographyBark (sound)Mass spectrometryElectrospray ionizationAlkaloidMass spectrumElectrosprayStereochemistry

Abstract

fetched live from OpenAlex

Four alkaloids were isolated from an alcoholic extract of the bark from the stem of Peschiera fuschiaefolia. Two of these compounds, voacamine and voacamidine, are dimeric alkaloids which are thought to be responsible for the antimalarial activity of these extracts. The mass spectra and the response factors of these four compounds were obtained by liquid chromatography/mass spectrometry in the electrospray positive ionization mode. The concentrations of these alkaloids were measured in two different P. fuschiaefolia extracts. The ion chromatograms of the two extracts were compared on the basis of their [M + H](+) and [M + 2H](+2) ions characteristic of various alkaloids previously isolated from P. fuschiaefolia bark. The two extracts were found to differ mostly in the relative concentrations of the dimeric alkaloids.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.226
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

Citations14
Published2002
Admission routes1
Has abstractyes

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