A simple and sensitive method for determination of vitamins D<sub>3</sub>and K<sub>1</sub>in rat plasma: application for an<i>in vivo</i>pharmacokinetic study
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Bibliographic record
Abstract
PURPOSE: To develop and to validate a simple but sensitive method for determination of vitamins D3 and K1 in rat plasma. METHODS: The sample treatment included protein precipitation by cold acetonitrile, evaporation, reconstitution with methanol and filtration. The chromatography conditions included Xterra RP18 3.5 µm 4.6 × 100 mm column at ambient temperature and mobile phase consisting of methanol/water (93/7, v/v) at 0.5 mL/min flow rate. Vitamin D3 and probucol were detected at 265 nm and vitamin K1 at 239 nm. Rats were administered intravenously by 0.1 mg/kg of vitamin D3 or K1 and the blood samples were withdrawn pre-administration and at pre-determined time points post-administration. The pharmacokinetic analysis was performed using a non-compartmental approach. RESULTS: The calibration curves in rat plasma were linear up to 5000 ng/mL for both vitamins. The limit of quantification (LOQ) was 20 ng/mL for vitamin D3 and 40 ng/mL for K1. Inter- and intra-day precision and accuracy were below 15%. The pharmacokinetic parameters of vitamin D3 following intravenous administration were: AUC0-∞ = 11323 ± 1081 h × ng/mL, Vd = 218 ± 80 mL/kg, CL = 8.9 ± 0.8 mL/h/kg, t1/2 = 16.8 ± 5 h; and of vitamin K1: AUC0-∞ = 2495 ± 297 h × ng/mL, Vd = 60 ±24 mL/kg, CL = 40.5 ± 5.1 mL/h/kg, t1/2 = 1.1 ±0.5 h. CONCLUSION: The developed HPLC-UV assay is a simple and sensitive method for the determination of vitamins D3 and K1 in rat plasma. A higher dose of vitamin K1 should be used in future studies for accurate estimation of pharmacokinetic parameters. The data show the suitability of the assay for pharmacokinetic studies in rats.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it