Comparison of monoclonal antibody performance characteristics for the detection of two representatives of A- and B-trichothecenes: T-2 toxin and deoxynivalenol
Bibliographic record
Abstract
Mycotoxins are secondary metabolites produced by fungi belonging mainly to the Aspergillus, Penicillium and Fusarium genera. They represent a relevant source of danger to human and animal health causing food- and feedborne intoxication. One group, produced by Fusarium spp., are the trichothecenes, of which T-2 toxin belongs to the type-A trichothecenes and deoxynivalenol to the type-B trichothecenes. As these mycotoxins are ubiquitous, the testing of products is required to keep our food and feed safe. For this purpose, sensitive and reliable tests are needed to detect contaminations. One detection possibility is an immunoanalytical based test which needs antibodies as reagents. Cell culture facilities allow cell line selection and production of monoclonal antibodies for further immunological test development. Especially for mycotoxins antibody development for further use in immunoassays is a crucial task. T-2 toxin and deoxynivalenol specific monoclonal antibodies were developed and further characterised to test stability and solvent resistance properties. Especially cross-reactivities were determined to related mycotoxins also belonging to the trichothecene family, e.g. HT-2 toxin or 3-acetyldeoxynivalenol.
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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 | 0.002 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".