Selection and characterization of a DNA aptamer for Patulin and its application in a label-free fluorescence assay for fruit juices
Bibliographic record
Abstract
Abstract Patulin (PTL, 154 Da) is a small molecule toxin produced as a mold metabolite. PTL is unstable in animals and is quickly converted to its metabolites. Thus, few successful antibodies were reported even after extensive efforts in hapten design. In this work, a library immobilization strategy was used to obtain DNA aptamers for PTL, where exposure of PTL to live animals or cells is no longer needed. After 20 rounds of selection, the most abundant aptamer named PTL-1 has a dissociation constant ( K d ) of 12.5 μM based on isothermal titration calorimetry and 18.4 μM based on thioflavin T (ThT) fluorescence spectroscopy. PTL-1 has excellent selectivity against nine other antibiotics. Compared to previously reported aptamers for PTL, PTL-1 is either shorter or has higher affinity. A label-free ThT fluorescence assay based on PTL-1 was developed, which has a detection limit of 0.2 μM (detection range 0.2–20 μM) for PTL in fruit juices. The PTL-1 aptamer shows resistance to matrix interference and can be applied to the rapid detection of PTL in a blended juice. This study is a nice demonstration of selecting aptamers for a target molecule difficult for the production of antibodies. Graphical Abstract
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 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".