Fumonisin B1 Aptamer Optimization and Progress Towards Mycotoxin Nanoaptasensors
Bibliographic record
Abstract
Fumonisin B1 (FB1) and ochratoxin A (OTA) are agriculturally important mycotoxins that have implications in human and animal health.Aptamers are short single-stranded oligonucleotides that can be used as molecular recognition elements for the sensitive and selective detection of mycotoxins.Aptamers for FB1 and OTA were screened using a novel DNase I footprinting assay to characterize their structure and insolution affinity.Two minimal binding aptamers for FB1 were identified that retain high binding affinity in solution and to a bound target.Progress was made towards fluorescence turn-on and turn-off sensors for FB1, utilizing semiconductor quantum dots and fluorescein in conjunction with metallic-and carbon-based quenchers.A fluorescence nano-aptasensor was developed as a simple paper test, with the capacity to detect OTA with a limit of detection between 10 -100 nM.Rapid, robust aptasensors for FB1 and OTA have promising applications for in-field screening of mycotoxin residues on crops.Thank you -Emily: for all of your excellent humour and genuine advice, Erin: for helping me learn the ropes and training me on every device, Annamaria & McKenzie: for always being reliable, thoughtful, and having the best food, Eman & Phepa: for your wisdom, strong
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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 | 0.000 |
| 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 | 0.000 | 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".