A high‐performance liquid chromatography with electrochemical detection for the determination of total hypericin in extracts of St. John's wort
Bibliographic record
Abstract
An HPLC method for the quantitation of hypericin using a new and sensitive amperometric detection is presented. Hypericin was eluted isocratically using a mobile phase consisting of ammonium acetate, methanol and acetonitrile. The oxidation was carried out with a glassy carbon electrode at a potential of + 1.1 V vs. an Ag-AgCl-KCl reference electrode. Under the conditions described, hypericin was separated at a retention time (Rt) of 12 min. Linearity was obtained over the range 0.035-1.30 microg/mL (r = 0.9994). The limit of detection was determined to be 0.010 ng on-column for hypericin. The method was applied to the determination of total hypericin (hypericin, pseudohypericin, protohypericin and protopseudohypericin) in extracts of St. John's wort using hypericin as an external standard. The protoforms were converted into hypericin and pseudohypericin by subjecting the sample to artificial light prior to chromatographic analysis. For the evaluation of total hypericin, the peak areas of pseudohypericin (Rt 3.7 min) and hypericin (Rt 12.0 min) were combined. The relative standard deviation in analysing samples containing Hypericum ranged from 2.5 to 5.4%.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".