Studies on the affinity chromatography purification of anti-patulin polyclonal antibodies by enzyme linked immunosorbent assay and electrophoresis
Bibliographic record
Abstract
Patulin is a mycotoxin produced by fungal species that frequently grow on fruit and vegetables. It presents risks, particularly for children consuming compotes and fruit juices. Thus, it is important to have methods such as immunoassays to screen a large number of samples. In the relevant literature, previous studies on the production of antibodies against patulin derivatives described qualitative tests for a patulin derivative or showed slight responses. The present study reinvestigated the production of polyclonal antibodies against patulin and their purification since crude antiserum could react non-specifically in immunoassays. Patulin-hemiglutarate was synthesized and conjugated to bovine serum albumin as the immunogen for the immunization of five New Zealand white rabbits. The immunoglobulin G (IgG) fraction was isolated twice by affinity chromatography using Sepharose-LS gel and recombinant G-protein. Classic affinity chromatography using Sepharose-LS gel was unable to eliminate serum albumin from the IgG fraction and the use of recombinant G-protein was efficient to isolate the purified IgG. Titres and specificity were determined by indirect competitive enzyme-linked immunosorbent assay. Patulin-hemiglutarate-ovalbumin gave complete displacement, while patulin displaced 30% of bound antibodies. Thus, a fraction of the antibodies are specific for free patulin. The non-specific binding increased with patulin concentrations. The electrophilic properties of patulin might also induce intermolecular cross-links in vitro that hinder the possibility of responses displacement when free patulin is used.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".