Homogeneous assays for aptamer-based ethanolamine sensing: no indication of target binding
Bibliographic record
Abstract
) as low as 9.6 nM. However, most of the previous binding assays and sensing work used either immobilized ethanolamine or immobilized aptamers. In this work, we studied three previously reported DNA sequences, two of which were supposed to bind ethanolamine while the other could not bind. Isothermal titration calorimetry revealed no binding for any of these sequences. In addition, due to their guanine-rich sequences, thioflavin T was used as a probe. Little fluorescence change was observed with up to 1 μM ethanolamine. Responses within the millimolar range of ethanolamine were attributed to the general fluorescence quenching effect of ethanolamine instead of aptamer binding. Finally, after studying the adsorption of ethanolamine to gold nanoparticles (AuNPs), we confirmed the feasibility of using AuNPs as a probe when the concentration of ethanolamine was below 0.1 mM. However, no indication of specific aptamer binding was observed by comparing the three DNA sequences for their color changing trends. This work articulates the importance of careful homogeneous binding assays using free target molecules.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".