Production of Antibodies against Enterocin B for Immunological Detection and Purification Purposes
Bibliographic record
Abstract
Polyclonal antibodies were generated against the bacteriocin enterocin B by conjugating enterocin B (ENT) to bovine serum albumin (BSA) through a bifunctional crosslinking agent. Rabbits immunized with the ENT-BSA conjugates developed antibodies specific for enterocin B. Non-competive indirect (NCI) ELISAs were able to detect the presence of enterocin B in the supernatant of a producer strain and from a partially-purified sample. Competitive indirect (CI) ELISAs demonstrated concentrations of enterocin B ranging from 400-1600 ng ml−1 were required for 50% antibody binding inhibition. An immunoaffinity chromatography column was developed by linking the antibodies to CNBr-activated Sepahrose 4B. The purification method yielded pure enterocin; however, the harsh elution conditions did not render a regeneratable column.
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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".