A new competitive fluorescence immunoassay for detection of Listeria monocytogenes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A new competitive immunoassay has been designed using a specific monoclonal antibody labeled with a fluorophore. A specific and highly conserved peptide of 11 amino acids from the protein p60 of L. monocytogenes has been synthesised and used for the production of a monoclonal anti-p60. This antibody was used in the conception of a detection test able to detect 1 CFU of L. monocytogenes after only 18 hours of incubation with a minimum of manipulation. The test is based on a competition principle between the recombinant p60 protein and the p60 from L. monocytogenes present in the sample. A column containing a sepharose matrix was used to immobilize the recombinant p60 protein and the labeled monoclonal antibody, which is captured by the p60 from the sample when added to the column. An increase of the fluorescence signal of the eluate means a positive result. No cross-reactivity was observed with non-pathogenic Listeria species and each serotype of L. monocytogenes can be detected whereas some other immunological methods show cross-reactivity and false negative.
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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 | 0.001 | 0.001 |
| 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 it