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Record W2069246333 · doi:10.1002/rcm.2505

Simultaneous analysis of prostanoids using liquid chromatography/high‐field asymmetric waveform ion mobility spectrometry/tandem mass spectrometry

2006· article· en· W2069246333 on OpenAlexaff
James T. Kapron, Jin Wu, Timo Mauriala, Patsy Clark, Randy W. Purves, Kevin P. Bateman

Bibliographic record

VenueRapid Communications in Mass Spectrometry · 2006
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsMerck Canada Inc. (Canada)
Fundersnot available
KeywordsChemistryChromatographyIon-mobility spectrometryMass spectrometryTandem mass spectrometryLiquid chromatography–mass spectrometryAnalytical Chemistry (journal)

Abstract

fetched live from OpenAlex

A liquid chromatography/high-field asymmetric waveform ion mobility spectrometry/tandem mass spectrometry (LC-FAIMS-MS/MS) semi-quantitative method was developed for the simultaneous determination of prostaglandin (PG) E2, PGD2, PGF(2alpha), 6-keto-PGF(1alpha), and thromboxane (TX) B2. Diluted samples containing these prostanoids and their tetra-deuterium-substituted internal standards were analyzed by LC followed by either selected reaction monitoring (LC-SRM) or FAIMS and selected reaction monitoring (LC-FRM). FAIMS reduced background noise, separated the isobaric ions PGE2 and PGD2, and separated dynamically interchanging TXB2 anomers. This is the first report of the separation of interconverting anomers by FAIMS. Generally, the LC-FRM chromatograms were more selective than the LC-SRM chromatograms. Its potential was demonstrated by analysis of prostanoids in guinea pig lumbar spinal cord homogenate.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, 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 score0.123
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0100.036
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0040.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.013
GPT teacher head0.278
Teacher spread0.265 · 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

Citations51
Published2006
Admission routes1
Has abstractyes

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