Determination of tanshinone I, tanshinone IIA, and cryptotanshinone in <i>Salvia miltiorrhiza bunge</i> and urine sample by HPLC
Bibliographic record
Abstract
Abstract A simple and sensitive HPLC method to detect tanshinone I, tanshinone IIA, and cryptotanshinone in human urine was developed and validated. Chromatographic separation was achieved on a C18 column (4.6 mm × 250 mm, 5 µm) using a mixture of methanol/water (78:22 v/v, containing 0.5% acetic acid) as the mobile phase at a flow rate of 0.5 mL/min with UV detector at 254 nm. The calibration curve of tanshinones was linear over a range of 1.0 × 10−4 – 1.0 mg/mL. The limit of quantification (LOQ) was found to be 57.0, 76.0, and 45.0 ng/mL, respectively. This method can estimate the pharmacokinetic parameters of tanshinones in human urine after the intravenous and intraperitoneal administration of stanchions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".