Liquid chromatography-electrospray mass spectrometric studies of ginkgolides and bilobalide using simultaneous monitoring of proton, ammonium and sodium adducts
Bibliographic record
Abstract
A liquid chromatographic-electrospray mass spectrometric method was developed for the determination of ginkgolides and bilobalide and was applied to the analysis of commercial products of Ginkgo biloba leaf extracts. Adducts of these compounds with ammonium, proton and sodium were detected and their relative abundance depended on the electrospray fragmentor voltage. The relative standard deviation (RSD) was improved from > 17% to < 6%, when three adduct ions of (M + H)+, (M + NH4)+ and (M + Na)+ were used for quantification compared with single ion monitoring. The characteristic mass spectra of bilobalide were different from those of ginkgolides; in particular, dimers of (2M + Na)+ were observed for bilobalide only. Analysis of 26 commercial ginkgo products revealed large variations in the composition and concentrations of ginkgolides and bilobalide in herbal products.
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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) | 0.000 | 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".