A Selective Ion HPLC-APCI-MS Method for the Quantification of Pentacyclic Triterpenes in an Anxiolytic Botanical Dietary Supplement for the Animal Health Market
Bibliographic record
Abstract
A new anti-anxiety dietary supplement was developed for the animal health market, by combining 2 triterpene containing botanicals, Souroubea sympetala (Marcgraviaceae) with Platanus occidentalis (Platanaceae) A validated method for a quality control of the botanical blend was achieved using HPLC-APCI-MS. The method resulted in the detection and quantitative determination of betulinic acid (1), and ursolic acid (2) in P. occidentalis and 1, 2, lupeol (3), β-amyrin (4) and α-amyrin (5) in S. sympetala and the finished product Zentrol TM . Detections were at low ng on column for 1 and 2 and in low μg range for 3, 4 and 5 using calibration curves within 10-100 ng (R 2 > 0.993). Recovery of spiked samples for all the recoveries observed were > 94%. Inter-day and intra-day variations were 0.8-3.5% and 5-10.4%, respectively. These results indicate the suitability of the developed analytical method to detect and quantify triterpenes of raw materials used in the manufacture of natural health 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) | 0.001 | 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 | 0.001 | 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".