Simultaneous Determination of Olanzapine and its Major Metabolite N-Desmethyl Olanzapine in Rat Plasma by HPLC-MS/MS: Application of PK in Rat
Bibliographic record
Abstract
Despite this importance, there havebeen no reports about the simultaneous determination ofOLZ and N-DMO concentrations in rat plasma by HPLC-MS/MS. This study describes a simple and rapid method forthe simultaneous determination of OLZ and N-DMO in ratplasma by HPLC-MS/MS with electrospray ionization, aftersample pretreatment by deproteinization with methanol. OLZ and N-DMO were purchased from Waterstone Techno-logy (Carmel, IN, USA) and Toronto Research Chemicals,Inc. (North York, Ontario, Canada), respectively. Carbama-zepine, used as an internal standard (IS), was purchasedfrom Sigma-Aldrich Canada Co. (Oakville, Ontario, Canada).HPLC-grade methanol was from Merck (Darmstadt, Ger-many). LC was performed on an Agilent 1100 HPLC system(Agilent technologies, Inc., Santa Clara, CA, USA). PE SCIEXAPI 2000 triple quadrupole mass spectrometer (AppliedBiosystems, Foster City, CA, USA) were used as a detectorStock solutions (1 mg/mL) of OLZ and N-DMO werediluted serially with methanol. To optimize MS conditions, asolution of containing 100 ng/mL of OLZ or N-DMO wasinfused into the mass spectrometer at a flow rate of 10 μL/min. The precursor ions for the analytes were optimized asprotonated molecular ions, [M+H]
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".