Capture‐SELEX for a short aptamer for label‐free detection of salicylic acid
Bibliographic record
Abstract
Abstract Salicylic acid (SA) is a hydrolysis product and an active form of aspirin, and SA is found in a range of fruits and other food products. For food and drug and analysis there is a strong desire to detect SA. Since SA is a very small molecule, aptamers have advantages over antibodies for its detection. In this work, we used the library‐immobilization capture‐SELEX method to isolate aptamers for SA. After 17 rounds of selection, two main families of aptamers were isolated. The SA1 aptamer from family 1 has a K d of 5.8 μM from a thioflavin T (ThT) fluorescence assay and 26.7 μM from isothermal titration calorimetry. The binding of other sequences was weaker compared to SA1. Based on mutation studies, the two conserved regions of SA1 were connected by two stems. Using ThT as a stain, a label‐free fluorescent sensor was tested for the detection of SA with a detection limit of 2.2 μM. A few similar molecules were tested including aspirin, and only p‐hydroxybenzoic acid showed a weak binding, indicating the high specificity of the SA1 aptamer. Finally, the SA1 aptamer was also tested in tomato juice and a similar binding performance was achieved.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".