Analysis of bisdesmosidic saponins in <i>Saponaria vaccaria</i> L. by HPLC‐PAD‐MS: identification of new quillaic acid and gypsogenin 3‐O‐Trisaccharides
Bibliographic record
Abstract
A high-performance liquid chromatographic method using photodiode array and single quadrupole electrospray mass detection for analysis and profiling of bisdesmosidic saponins in Saponaria vaccaria seed was developed. Profiles of seed extract from three different plant sources were obtained and found to contain the same saponins, albeit in different proportions. Several known saponins were identified by selected ion extraction of quasi-molecular ions from the total ion chromatogram and confirmed by their mass spectra. Application of high cone voltages afforded mass spectra containing key diagnostic fragments and relatively strong singly charged quasi-molecular ions. In addition to previously identified saponins, several new quillaic acid and gypsogenin bisdesmosides could be detected via mass spectral analysis. Five of these were tentatively identified as pentose homologues of known saponins, having an added xylosyl residue linked to the 3-O-glucuronyl group (1 --> 3). The stereochemistry and identity of the xylosyl linkage in the new saponins was determined by chemical means. Previously reported vaccaric or segetalic acid-type bisdesmosides could not be detected in any of the extracts.
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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 | 0.000 |
| 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 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".