Development of an Antibody against Diosgenin and Spiroaminoketal Alkaloids
Bibliographic record
Abstract
Abstract An antibody was developed that exhibited affinity for diosgenin as well as the spiroaminoketal alkaloids solasodine and tomatidine. Rabbits were immunized with a diosgenin conjugate prepared by succinylation of diosgenin, followed by purification with a silica solid-phase extraction cartridge and active ester conjugation to Limulus polyphemus hemocyanin (LPH). Rabbit serum was evaluated using an indirect competitive ELISA with diosgenin-BSA as the coating conjugate. A reduction in absorbance of 50% could be obtained using concentrations of ca. 0.8 μM diosgenin, 30 μM solasodine and 100 μM tomatine. The antibody exhibited no affinity for solanidine, a non-spiral glycoalkaloid. Keywords: DiosgeninSolasodineTomatineSolanineAntibodyElisaWild
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".