MétaCan
Menu
Back to cohort
Record W1996247939 · doi:10.1081/jlc-100103438

A RAPID HPLC-DAD METHOD FOR SEPARATION AND DETERMINATION OF OMEPRAZOLE EXTRACTED FROM HUMAN PLASMA

2001· article· en· W1996247939 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 Liquid Chromatography & Related Technologies · 2001
Typearticle
Languageen
FieldChemistry
TopicAnalytical Methods in Pharmaceuticals
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsChemistryChromatographyAcetonitrileHigh-performance liquid chromatographyCalibration curveSolid phase extractionCartridgeExtraction (chemistry)ElutionOmeprazoleAbsorbanceDetection limitResolution (logic)Analytical Chemistry (journal)Materials science

Abstract

fetched live from OpenAlex

Abstract A high-performance liquid chromatographic (HPLC) method for the determination of omeprazole in human plasma is described. Omeprazole and the internal standard (H168/24) were extracted from plasma samples by solid phase extraction (SPE) using a polymeric sorbent-based cartridge. The separation was accomplished under reversed phase conditions using an Eclipse XDB-C8 Rapid Resolution (4.6 × 50 mm) column. The mobile phase consisted of 23% acetonitrile and 77% of 30.4mM Na2HPO4 and 1.76mM KH2PO4 solution, pH 8.4, in which a gradient elution was used to linearly change solvent composition to 33% acetonitrile and 67% phosphate buffer during the first minute. Absorbance was monitored at 302 nm for omeprazole and at 294 nm for the internal standard and the total analysis time was 4 minutes. The lower limit of quantitation was 10 ng/mL and the calibration function is linear to 2000ng/mL. This method has been shown to be appropriate for pharmacokinetic studies involving children. Acknowledgments

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)0.001
metaresearch head score (Gemma)0.001
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 score0.235
Threshold uncertainty score0.930

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.035
GPT teacher head0.379
Teacher spread0.344 · 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